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atwooozi · 1 year ago

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gojo x original character

Chapter 7: Trust

summary: At the end of a demanding week, Ai is invited to a wrap party, where she reluctantly agrees to mingle outside her comfort zone. Amidst the laughter and banter, Ai observes the real dynamics of the cast and crew, capturing fleeting glimpses of the man behind Gojo's public persona. Her determination to uncover the authentic Gojo fuels her, but as the lines between professional distance and personal connection blur, Ai faces an inner struggle—can she maintain her integrity while digging deeper into Gojo's guarded life?

genre: modern AU, slice of life, comedy, eventual romance, eventual smut, some angst

A/N: So before posting these chapters I like to think about what songs I'd like to pair with them because it's fun for me and I had a really difficult time deciding what songs would "fit" this chapter. Anyway, I landed on two songs that I think would be great for this chapter. Oddly, I think they kind of work together.

First is I CAN'T STOP THE LONELINESS by Anri. I love this song when I picture this fic as an anime I always pic this song as the opening. The second song is Good Luck, Babe! by Chappell Roan. I love her 80s synth vibe that she brings to her music it really fits the energy that I picture whenever I sit down to write this fic. My interpretation of the lyrics could be off, but I always read them and thought of the person that Chappell Roan is singing to is closeted. It doesn't necessarily fit the narrative that I've created here, but I think the sentiment is there? Hopefully you get what I'm trying to say.

READ ON AO3

The first week of following Ai’s assignment was at an end. Just as she had gotten used to Gojo’s schedule but today, production was wrapping up, everyone seemed to be in a much better mood, except for Gojo. Gojo always seemed to be in a decent mood, whatever the circumstances. Ai wasn’t sure if that was an admirable trait or if he was just rather disconnected from everything.

“Are you gonna go to the wrap party or are you just gonna hide in here some more?” Gojo asked as he tried to take a peek at Ai’s notebook.

The “here” that Gojo was referring to was his dressing room. At this point, it served as Ai’s de facto office space as well as Geto’s photo studio. The usually sparse dressing room now had different lighting and camera equipment placed in the corner of the room, while Ai’s and Junpei’s laptops sat on the table along with their scattered papers. It was something that Ai would usually feel bad about, but Gojo seemed to enjoy the three of them in his space even if it did feel cramped.

Ai jumped a bit and brought her notebook to her chest as she gave him an unamused look. “I’m gonna head back to the hotel actually.”

“Bo- ring ~” Gojo teased as he stood up straight. “You guys are gonna come, right?” he asked Geto and Junpei, jutting out his lower lip and batting his lashes.

“I have some stuff to do, but I��ll make an appearance,” Geto shrugged as he snapped a quick shot of Gojo. Geto tsked as he looked down at his camera screen. “Satoru, stop looking directly at the camera.”

“But the camera loves me, Suguru.” Gojo pouted at his friend, batting his lashes.

Geto rolled his eyes in response and put his camera down.

“I-I can come?” Junpei pointed to himself in disbelief, bringing Gojo back to his earlier conversation.

Gojo clapped Junpei on the back and laughed. “Of course, Junpei-kun!”

“It’s going to be at a bar not too far from here just in case someone changes their mind , ” Gojo glanced at Ai and playfully stuck out his tongue, reminiscent of a petulant child, before adjusting his blindfold over azure eyes.

Ai narrowed her eyes at Gojo’s antics. “I don’t think so, but I hope you all have fun.”

Gojo left the dressing room without looking back, his laughter echoing down the hallway as he waved carelessly.

Once he was out of sight, Ai thumbed through her notes. The pages were filled with different scribbles from her week. She felt like she held a wealth of information in her hands, but hardly any of it was straight from Gojo, which stressed her more than she’d care to admit. As she scanned the pages of her notebook, she smiled to herself. During Gojo’s downtime, Ai noticed he liked to play the Digimon card game online. It made her laugh when he would get called for a scene in the middle of a game because of how conflicted he would look. Ai sighed and shut her notebook, she didn’t want to dwell on it too much. She was sure that once she did a proper look-through, she would see that she had more to work with than she expected.

“Are you sure you don't want to go?” Geto approached Ai as she was packing up. While she wasn’t completely sure, the expression on Geto’s face looked a bit devious.

“It's not really my scene, besides, I wouldn't want Gojo to feel like he has to filter himself because I'm there,” Ai said meekly.

Gojo snorted in response. “Trust me, Satoru won't care. See it as a networking thing.” He grabbed Ai's bag and slung it on his shoulder along with his own. “Leave your work at home for once, Ai-san.”

Ai narrowed her eyes at Geto as he gave her an innocent-looking smile in return.

Junpei nodded in agreement. “Geto-san is right,” he said falling in step behind them as they made their way to the car. “It’s going to be fun!”

“Why thank you, supervisor Junpei.” Geto hummed.

Ai wanted to fall to her knees in despair when she heard Junpei agree with that demon . Somehow the menace of a photographer had turned her sweet kouhai against her. There was no way she was going to be able to weasel out of it now.

Uncertainty spread across Ai's face as she listened to Geto and Junpei bicker about the pictures and lighting issues throughout the day. As much as Ai wanted to sort through her notes, she couldn’t really pass up the opportunity to talk with Gojo in a more natural setting–for the article , of course.

“Fine,” Ai said, sealing her fate as she climbed into the car.

⨯ . ⁺ ✦ ⊹ ꙳ ⁺ ‧ ⨯. ⁺ ✦ ⊹ . * ꙳ ✦ ⊹⨯ . ⁺ ✦ ⊹ ꙳ ⁺ ‧ ⨯. ⁺ ✦ ⊹ . * ꙳ ✦ ⊹⨯ . ⁺ ✦ ⊹ ꙳ ⁺

Ai wondered if she was right to want to stay at the hotel like she initially planned. When she arrived at the bar with Junpei, everyone was already a few drinks in. The energy in the room was lively and inviting, but she felt a bit out of place.

Ai had always tried to skip work drinking parties since she and alcohol never seemed to mix well. She cringed inwardly as she thought back to the office New Year's party where she slurred her way through Anri’s “I Can’t Stop the Loneliness” at the top of her lungs. That could not happen again.

Unlike Ai and Junpei, Geto had arrived separately. He was happily sipping on sake and picking at some yakitori near the corner of the private room reserved for the Jujutsu Kaisen cast and crew.

While Ai couldn’t be certain, it seemed like Geto had made nice with the restaurant staff because despite being sat in the corner, fresh plates of food always seemed to travel his way first. She figured that it must've been one of the giggly waitresses since they would always linger a bit longer than they needed to after setting the plates down, blushing and smiling when Geto gave them a quick wink.

Ai walked over to the table where Geto sat, Junpei following behind her. “You seem to be enjoying yourself,” she said as she and Junpei took the unoccupied seats next to Geto, the apparent womanizer.

“I almost thought you changed your mind again.” Geto hummed as he took another sip of his sake.

Ai shook her head. “I got a phone call from my boss.”

“Everything good?” Geto asked, easily shifting from comfortable and relaxed and back into work mode.

“Yeah…” Ai nodded as she got more comfortable. “He just wanted to check to see where we were with the story.”

Geto nodded as he listened, lighting a cigarette. “Is he always so hands-on?”

“You smoke?” Ai ignored Geto’s question as she eyed the cigarette.

Geto raised an eyebrow at her. “Is that a problem?” He brought the cigarette to his mouth before exhaling a small puff only moments later.

Ai shook her head. She didn’t mind, she just didn’t think it suited her image of Geto. In her mind, he would smoke using a kiseru-style pipe much like a monk or a samurai did back in the 1800s. For whatever reason, cigarettes seemed too modern for him.

“So about your boss…” Geto trailed off, waiting for Ai to get back on track.

“Oh right,” Ai pursed her lips and thought and looked at Junpei, who just shrugged in response.

The thing is, Ai wasn’t even sure. With all her previous jobs she had always reported to someone under Yaga. When she got the call from her boss earlier, her heart felt like it was going to stop. She wasn’t sure how he could have found out, but she was almost positive he had somehow discovered her crush on Gojo and was about to fire her. However, Yaga gave no indication that he knew about the crush because any sane person would know that it was impossible for him to even know that. In actuality, he called just to check in and see how things were going. Yaga had much more important things to deal with than Ai’s nonexistent love life.

“No, this is just a big story for the magazine.”

“Well of course it's a big story. It's about me .” Gojo butted in as he sat himself between Ai and Junpei.

Ai couldn’t help but roll her eyes at Gojo's comment as she scooted over– then again, she couldn't deny the truth of it, either.

The man was truly everywhere--on magazine covers, on billboards, on keychains, he was inescapable. She passed him each day on her daily commute to the office--promotional images of Gojo plastered inside the station. If she paid attention, she could make out lipstick marks and encouraging post-it notes littering the promotional pictures. If she paid more attention, she would notice the lipstick and notes increasing with each passing day. The love for the man’s character was unreal.

Gojo shoved his phone in Ai’s line of sight. “Look, they’re making another figure of me. It’s beautiful, but I think I’m even prettier.”

“You’re so humble, Gojo-san,” Ai said dryly as she poured herself a beer, getting a chuckle from Geto and Junpei.

She knew that drinking probably wasn't the best idea, but between Yaga talking her ear off and Gojo being Gojo, she needed something to help her unwind a little.

“Thank you, I know,” Gojo replied, not even missing a beat as he started to pick at the various plates that littered the table.

Gojo leaned back in his seat, draping an arm casually over the back as he took the room in. “So what were we talking about before I so courteously interrupted?”

Geto glanced at Ai, asking for permission to share their conversation. She nodded as she took a sip of her beer. It tasted awful, but she continued to drink it.

“Work stuff, nothing too exciting, you really didn't miss much,” Geto explained as he took another drag from his smoke.

Gojo raised an eyebrow and looked at Ai from above his glasses, clearly unconvinced. He graciously let the subject drop and pushed a plate of yakitori in front of Ai's face with a charming smile. “Have some. It's good stuff.”

Ai pushed the plate out of her face. She leaned forward to check on Junpei and let out a sigh of relief when she saw him talking with Yuuji, Megumi, and Nobara. She didn’t even notice him getting up and going to the other end of the table. She was worried that Junpei might have felt obligated to pal along with her, but she was glad to see him interact with others closer to his age.

Gojo glanced in the same direction as Ai and smiled. “They're good kids.”

Ai couldn't help but smile at Gojo's comment. Despite his usual obnoxiousness, there was a genuine warmth as he looked on at his younger costars. He almost looked fatherly with the way he spoke about them. There was an obvious care that went beyond the typical working relationship.

“They are,” Ai agreed as she rested her cheek against her fist. She felt a warmth spread in her chest. She supposed it could be the beer making its way through her system or the pride she felt as she watched her shy kouhai laugh and smile so freely. In her mind, it was a bit of both.

“They work really hard.”

“Oh yeah?” Ai glanced back at Gojo.

Gojo nodded as he bit some chicken off a skewer. “Mhm, I’ve been pushing them to train more.”

“Train more?” Ai sat up a bit straighter.

She cursed herself for not bringing a notepad with her to write anything down. Of all times–why didn’t she take her notebook with her? She quickly fumbled for her phone so she could at least type some quick notes down for later.

If Gojo noticed Ai acting like a frantic mess, he didn’t give any indication because he continued to speak calmly and affectionately. “Itadori and Kugisaki are pretty new, right? I mean, Gumi-chan is too, I guess...” he shrugged. “Anyway, I’ve been pushing for them to train more so they can do more of their own stunts.”

“How come?” Ai asked curiously. It’s not like Jujutsu Kaisen had a tight budget; they could easily afford as many stunt doubles as they needed. They just finished making a blockbuster movie with a record production budget.

“It might be a load of crap, but I think it’s necessary to truly understand your character,” Gojo explained rather matter-of-factly as he tried to steal some gyoza from Geto’s plate.

“Do you feel more connected to your character because you do your own stunts?”

Gojo pursed his lips as he continued to try and steal from Geto’s plate.

“Satoru, just get your own,” Geto complained as he started to fill a plate for Gojo himself.

“But I think the ones you have look the best,” Gojo insisted as he easily swiped Geto’s plate with a smile, causing Geto to glare at him. “Anyway, as I was saying, I think it just flows more naturally if you do it yourself.” Gojo shrugged as he started to eat his newly acquired food.

“What do you mean by ‘flows more naturally’?” Ai asked curiously as she struggled to type as much as she could before Gojo continued. When she glanced down at her phone screen the text was riddled with typos. What the hell did ‘I’ve been psy9ny for them to twin more so they dan fo their own stunts’ even mean? She hoped that Junpei would help her decipher it all later.

“I mean, it just looks better,” Gojo stated as if it was the most obvious thing in the world. “It opens up so many different possibilities in terms of shooting fight sequences and aside from what Itadori and Todo have to do, the choreography isn’t that difficult.”

“Are you sure it’s actually that easy?” Ai questioned. “I mean, of course, it’s easy for you –you were a professional fighter before an actor.”

Gojo put his chopsticks down and looked over to Ai with a cat-like grin, dipping his glasses down his nose to see her more clearly. “Ai-chan, have you been looking into me?”

Ai blinked at the man. “I mean, that’s literally my job.”

“Oh yeah.” Gojo chuckled and rubbed the back of his neck. “I forgot.”

Ai rolled her eyes, but she couldn’t help but smile to herself. Internally she wanted to throw her hands up in the air and cheer. She had finally gotten something more from Gojo. She made a note to herself to thank Geto and Junpei for convincing her to go.

The night carried on and Ai seemed to relax. The worries of work melted away as she drank more and more beer. She felt her body noticeably relax as time passed. She wasn’t sure if it was because she had some more workable material or if it was the alcohol making its way through her system. The only thing she could wonder now was when had she become so stressed that her whole body seemed to ache with tension.

⨯ . ⁺ ✦ ⊹ ꙳ ⁺ ‧ ⨯. ⁺ ✦ ⊹ . * ꙳ ✦ ⊹⨯ . ⁺ ✦ ⊹ ꙳ ⁺ ‧ ⨯. ⁺ ✦ ⊹ . * ꙳ ✦ ⊹⨯ . ⁺ ✦ ⊹ ꙳ ⁺

On the trip back to Tokyo, Ai decided to use the two-hour ride home to sort through her notes despite her mild hangover. She wasn’t ready to start writing the article yet, there was still too much work that needed to be done, but this would help keep the information fresh in her tired mind.

She skimmed through her notes and prepared to transfer them to her laptop.

He hides behind smiles, but maybe even unbeknownst to him, his giveaway when he’s stressed is the way he tends to clench his fist.

Ai frowned as she looked over that particular note. She recalled jotting it down when there was a technical malfunction on set, but she noticed him doing it whenever Gakuganji didn’t like a particular take of his. It was too wordy or maybe it was just that it wasn’t that interesting to begin with. She didn’t like it at least. She frowned as she transferred the line into her word doc. As a writer, she’d find a way to rework it at a later time. It could be the future Ai’s problem. The dull headache she had made it difficult for her to do much else anyway.

Ai leaned back into her seat and stared out the window, taking in the blurring scenery. She was still having a difficult time pinning Gojo down. She couldn’t really make a whole article based on their brief conversations. It was difficult for her to discern what was real and what was just an act he put on. She only could capture brief moments of the person beneath the character; that was the nature of the game with actors, but she wanted to dig deeper.

Most actors put up a front. It was all part of the job for them. It didn’t matter how famous the actor was. Ai remembered when she interviewed Nobara, the girl put up as much of an act as Gojo did, but unlike Gojo, Nobara was able to reveal her caring nature and sense of duty to her craft without much trouble. It did take some work, though. It was when Ai finally convinced Nobara that she wouldn’t write about her more-than-platonic relationship with one of her female co-stars that she seemed to really open up.

Given that there was a large shipping culture around Jujutsu Kaisen characters, Ai decided to ask Nobara about her thoughts on same-sex female pairings. She expected Nobara to give a diplomatic answer, but she answered rather casually. Ai tried to remember what the actress said. It was something like, ‘Honestly, I think it’s great that people can see themselves in the characters they love. If I saw that on TV I’d probably come out to my grandma.’ Ai wanted to include that in the article. But since Nobara wasn’t fully out to her, she couldn’t bring herself to do it. She wouldn’t be able to live with herself if she hurt someone like that–even if she was trying to encourage others in the process.

Besides, it wasn’t the type of story that Ai wanted to write anyway. Ai did her best to be professional; she wanted her subjects and sources to know that they could safely talk with her. Yes, she was a reporter, but her integrity as a person meant more to her than any story. She would like to believe that didn’t need to rely on such underhanded tactics to get readers. She just had no idea how she’d convince Gojo of that…

It felt like whenever she was getting closer to gaining his trust, he’d immediately put a wall up. It was frustrating, honestly. She scoffed as she thought about it. People always said she rarely let people in, but she'd argue that Gojo might be worse.

Ai frowned as she crossed her arms over her chest. She generally didn’t like getting too friendly with the people she was writing about–it was just easier that way. It probably would be safer for her if she kept Gojo at a distance anyway. She didn’t want her feelings to grow into anything more than a crush. For the sake of her sanity, she couldn’t allow that to happen. After all, these stories weren’t about the relationships she formed with her subjects. The articles Ai wrote were about her subjects and her subjects alone.

Ai would have to make a special exception for this case. In order to get something tangible from Gojo, she would have to offer a bit of something in return. It was the last thing she wanted, but she didn’t have much of a choice. How else could she get Gojo to open up to her if she didn’t open up a little herself? She could stand to be a bit more vulnerable if that’s what he needed to trust her.

As the train carried on towards Tokyo, Ai couldn't help but feel some anxiety stir within her. It felt like electricity was traveling down her arms and into her fingertips. She closed her eyes and tried to focus on her breathing instead. The tingling soon dulled and she opened her eyes again to stare out the window. She could see her reflection in the window and frowned as her tired face stared back at her.

She could do this. Ai sighed and rubbed her temples, the faint throb of her headache still there. She refused to let it slow her down, though.

Her gaze drifted back over to her laptop. “One step at a time,” she muttered to herself, as her hands moved swiftly over the keys. As time passed, Ai had amassed pages of notes, each line a fragment of who Gojo was. The pieces were coming together but she still couldn’t see the whole picture.

Ai glanced out the window once more, the skyscrapers of Tokyo coming into sight. The train began to slow, and a voice came over the speaker alerting passengers of their imminent arrival. Ai quickly saved her work and shut down her laptop.

She glanced at her reflection once more. The same tired woman stared back at her, but now there was at least a flicker of confidence. “You’ve got this,” she whispered to herself, standing up and preparing to disembark.

#fanfic #fanfiction #ao3 fanfic #cross posted on ao3 #jjk gojo fic #jjk fic #jjk gojo #jjk #jujutsu kaisen #gojo x oc #gojo satoru

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danielweasly · 5 months ago

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Copilot Use Cases For Developers

Microsoft Copilot is revolutionizing the way developers interact with development tools, providing AI-powered assistance across a range of Microsoft products like Visual Studio, Azure, and GitHub. With Copilot integrated into these environments, developers can streamline workflows, automate routine tasks, and leverage advanced features for improved productivity. For example, in Visual Studio, Copilot helps write code faster by suggesting context-aware completions, refactoring code, and even generating entire functions based on brief descriptions. This drastically reduces the time spent on boilerplate code and increases efficiency, allowing developers to focus on more creative and complex aspects of their projects.

Furthermore, Microsoft Copilot empowers developers to work smarter by integrating with cloud-based services like Azure. By leveraging machine learning and AI, it can suggest optimized solutions, recommend cloud resources, and assist in troubleshooting infrastructure issues. This level of automation and intelligent support enables developers to make better decisions quickly, while reducing the cognitive load and manual effort needed to manage cloud-based applications. As Microsoft Copilot continues to evolve, it will increasingly become an indispensable tool in the developer toolkit, transforming how software is built and deployed in today’s fast-paced technological landscape.

Click Here to know more: https://www.intelegain.com/top-10-copilot-use-cases-in-2025/

#MicrosoftCopilot #AIForDevelopers #DevTools #ProductivityBoost #CodeCompletion #CloudDevelopment #VisualStudio #Azure #MachineLearning #AutomatedCoding #SoftwareDevelopment #TechInnovation #DeveloperEfficiency #AIinTech #DevOps

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manageditserviceslosangeles · 8 months ago

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Discover the New Microsoft Entra ID (formerly Azure AD): Pricing, Features, and Updates!

Stay ahead with Microsoft's latest cloud innovation! Azure AD is now Microsoft Entra ID, continuing the tradition of renaming to enhance clarity and functionality.

What You'll Find:

What is Microsoft Entra ID?: A cloud-based identity and access management service.

Key Features: Access Management, Identity Protection, Governance, Privileged Managed Identities, and B2B/B2C Services.

Pricing Plans: Explore the free, P1, and P2 plans and their benefits.

Why It Matters: Microsoft Entra ID ensures secure and efficient access to IT resources, whether internal or external. With enhanced features and flexible pricing, it's designed to meet diverse business needs.

Read More! Dive into our blog for a detailed guide on Microsoft Entra ID. Stay informed and make the most of Microsoft's cloud services.

Contact ECF Data for Expert Guidance Need help navigating Microsoft Entra ID? Contact ECF Data for a free Q&A session and expert licensing advice. Click below to connect with our senior negotiation experts.

Read the Full Blog: Azure AD (Active Directory) Now Microsoft Entra ID: Pricing, Features, Updates

Contact ECF Data

Unlock the potential of Microsoft Entra ID today!

#azure ai #azure openai #azure openai service #azure open ai #azure ai studio #microsoft azure ai #azure openai pricing #azure ai services #azure ai ml services

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spiralmantra · 11 months ago

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Top 10 Predictive Analytics Tools to Strive in 2024

Predictive analytics has become a crucial tool for businesses, thanks to its ability to forecast key metrics like customer retention, ROI growth, and sales performance. The adoption of predictive analytics tools is growing rapidly as businesses recognize their value in driving strategic decisions. According to Statista, the global market for predictive analytics tools is projected to reach $41.52 billion by 2028, highlighting its increasing importance.

What Are Predictive Analytics Tools?

Predictive analytics tools are essential for managing supply chains, understanding consumer behavior, and optimizing business operations. They help organizations assess their current position and make informed decisions for future growth. Tools like Tableau, KNIME, and Databricks offer businesses a competitive advantage by transforming raw data into actionable insights. By identifying patterns within historical data, these tools enable companies to forecast trends and implement effective growth strategies. For example, many retail companies use predictive analytics to improve inventory management and enhance customer experiences.

Top 10 Predictive Analytics Tools

SAP: Known for its capabilities in supply chain, logistics, and inventory management, SAP offers an intuitive interface for creating interactive visuals and dashboards.

Alteryx: This platform excels in building data models and offers a low-code environment, making it accessible to users with limited coding experience.

Tableau: Tableau is favored for its data processing speed and user-friendly interface, which allows for the creation of easy-to-understand visuals.

Amazon QuickSight: A cloud-based service, QuickSight offers a low-code environment for automating tasks and creating interactive dashboards.

Altair AI Studio: Altair provides robust data mining and predictive modeling capabilities, making it a versatile tool for business intelligence.

IBM SPSS: Widely used in academia and market research, SPSS offers a range of tools for statistical analysis with a user-friendly interface.

KNIME: This open-source tool is ideal for data mining and processing tasks, and it supports machine learning and statistical analysis.

Microsoft Azure: Azure offers a comprehensive cloud computing platform with robust security features and seamless integration with Microsoft products.

Databricks: Built on Apache Spark, Databricks provides a collaborative workspace for data processing and machine learning tasks.

Oracle Data Science: This cloud-based platform supports a wide range of programming languages and frameworks, offering a collaborative environment for data scientists.

Conclusion

As businesses continue to embrace digital transformation, predictive analytics tools are becoming increasingly vital. Companies looking to stay competitive should carefully select the right tools to harness the full potential of predictive analytics in today’s business la

#databricks #oracle data science #sap #alteryx #microsoft #microsoft azure #knime #ibm spss #altair studio #amazon quick sight

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hotcupoteckla · 2 years ago

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Unity Gossips

So, if you're new to game development, or if you haven't heard, Unity plans on increasing their pricing for running their games, and charging dev teams for those expenses. Read for yourself on their blog here:

So some notes of interest from what I read, and what a lot of people seem to not care about (yet) because the runtime fees are what most people are up in arms about right now.

I mean, rightly so, given the whole "retroactively" and "based on Install, Not Purchases" which is ridiculous given pirating is pretty prevalent in the games industry. (I mean, totally pirate the big-name games, Fuck EA).

Smaller studios are going to suffer from this. It's bad. Even though it's written from an "EFF THE RICH!" standpoint, from the Games Industry, you might want to tack on a couple of zeros onto the end of these numbers for it to only affect larger corps. Think of Toby Fox getting pwned by this for Undertale and Deltarune, and you'll begin to see why it's bad to do this retroactively.

Oof, billed monthly. Damn.

BUT WAIT! THERE'S MORE Fuckery!

If you pay them to run their ad service on your games (depleting your revenue for Free to Play games), you can get a credited discount for the Runtime. Games similar to MergeDragons will get More Ads! Fun!

Last, but certainly not least, Unity has its own AI Suite!

How much do you want to bet "the ability to add AI functionality at runtime (Unity Sentis)" needs to be toggled OFF in order to not aggregate more data? Any takers to that bet? Does anyone in their right mind on this site think that it Won't be On all of the time?

There are likely many reasons for why they're so very willing to cover the additional cloud computational costs (read Alphabet, AWS or Azure Services, $$$$$) on the data you can give to their game-build assist AI program, and that does not bode well for any developer. Or any players, for that matter.

Not only that, but their asset management tools, and build minutes cost additional amounts unless you pay for premium tiers?

Yeah, not great. 10GB storage total. On 3D rendered art pieces/collections. Roll20 has the same amount of storage space as Unity Personal.

So that's it for Unity's blog post that I was able to spot, BUT the most amusing thing to me of all things is that Humble Bundle and Gamedev.tv took less than 24 hours to negotiate a new bundle for Godot.

#unity #video game industry #game development #use godot #humble bundle #fuck ai everything #video games

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powergatesoftware-product-studio · 2 days ago

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PowerGate Software Drives Vietnam's Rise in Global Software Services Value Chain

In a global economy increasingly powered by digital innovation, Vietnam has, over the past two decades, made impressive strides as a trusted provider of high-quality software development. Initially recognized for its cost-effectiveness and dependable delivery, the country's IT industry is now entering a more advanced phase, defined by value-driven innovation, full-cycle capabilities, and strategic international partnerships.

Vietnamese software companies are no longer content with playing the role of silent subcontractors. Many are now actively repositioning themselves as full-service technology partners. Their expertise extends far beyond code execution, encompassing consulting, product strategy, DevOps, QA automation, and dedicated R&D. As a result, Vietnam is steadily and strategically advancing up the global software value chain.

From Price to Value: The Industry's Next Chapter

Vietnam's initial wave of IT growth was led by software outsourcing companies in Vietnam offering undeniable cost advantages. Enterprises from the US, Japan, South Korea, and Europe consistently turned to these firms for affordable software development and dependable delivery. While cost-efficiency remains a valuable strength, many of Vietnam's top outsourcing providers are now differentiating themselves through technical depth, domain specialization, and innovation-driven services.

Today's most competitive software outsourcing companies in Vietnam deliver comprehensive solutions that include:

Strategic product discovery and roadmap planning

Development of scalable, cloud-native architectures

Seamless CI/CD implementation for faster time-to-market

Automated quality assurance and advanced testing frameworks

AI/ML integration for intelligent, data-informed decision-making

This evolution marks a significant industry shift, from transactional, task-based outsourcing to collaborative, end-to-end product development partnerships.

Full-Stack Capabilities Driving Global Confidence

Vietnamese software teams are no longer limited to basic coding or legacy system maintenance. The country's top companies are delivering full-stack solutions that rival global product studios.

Common capabilities among leading providers include:

Cloud development and multi-platform deployment (AWS, Azure, GCP)

Streamlined DevOps automation for continuous delivery

User-centric UI/UX design

Modular microservices architecture and complex API integration

Quality assurance automation using tools like Selenium, Cypress, and TestNG

This maturity has enabled Vietnamese firms to act as trusted technology enablers across industries such as FinTech, HealthTech, Logistics, and E-commerce.

Sector Deepening: From Generalists to Vertical Experts

One particularly notable trend is the deepening specialization across key industries. Rather than functioning as generalists, an increasing number of Vietnamese tech firms are cultivating profound, vertical-specific expertise that consistently adds strategic value far beyond just code.

In FinTech, Vietnamese teams are adeptly building secure, compliant digital banking platforms, advanced KYC/AML tools, and robust payment gateways.

In HealthTech, they provide crucial support for electronic health records (EHR), AI diagnostics, and intuitive patient engagement applications.

In Logistics and Supply Chain, dedicated teams enable real-time tracking, sophisticated inventory optimization, and efficient fleet management systems.

In E-commerce, expert developers craft scalable marketplaces, powerful recommendation engines, and seamless omnichannel platforms.

This intensified vertical focus enables companies to act not only as capable service vendors but as true co-innovation partners, bringing deep knowledge of intricate user journeys, critical compliance requirements, and effective commercial models.

Vietnam: A Rising R&D Destination

Another pivotal evolution is the emergence of Vietnam as a prime nearshore/offshore R&D base. Increasingly, multinational firms are strategically choosing Vietnam not solely for cost-effective delivery, but for its burgeoning capacity in design, comprehensive research, and innovative experimentation.

Companies are establishing sophisticated R&D centers in burgeoning tech hubs like Hanoi, Ho Chi Minh City, and Da Nang to:

Explore cutting-edge AI/ML applications

Rigorously build proof-of-concept prototypes

Systematically develop new digital product lines

Sustain long-term innovation pipelines

Vietnam's inherent political stability, continuously improving IP protection frameworks, and a highly tech-savvy and adaptable population have cemented its position as an increasingly attractive alternative to more saturated markets in India or Eastern Europe.

Global Standards, Local Execution

As Vietnamese software firms purposefully move upmarket, stringent compliance with international standards and best practices has become more imperative than ever. Top-tier companies are rigorously aligning their operations with global delivery expectations by securing crucial certifications and making substantial investments in secure infrastructure.

These foundational commitments include:

ISO 9001:2015 for comprehensive quality management systems

ISO 27001:2022 for robust information security management

Proactive GDPR readiness and HIPAA compliance for clients operating in the EU and US markets

Well-defined IP transfer policies and legally binding Non-Disclosure Agreements (NDAs) to rigorously safeguard innovation

Such unwavering adherence to these global standards instills profound confidence in international clients regarding reliability, security, and legal safeguards—all unequivocally essential for fostering deep, long-term strategic partnerships.

Charting the Future: What's Next?

The future trajectory of software development companies in Vietnam will undoubtedly be shaped by pervasive intelligent automation, highly productized services, and outcome-based delivery models. Key trends set to define this next chapter include:

AI-powered services: Predictive analytics, sophisticated conversational AI, and transformative generative AI will be seamlessly embedded across diverse platforms.

Productized offerings: Leading companies will strategically develop reusable modules or specialized SaaS components to significantly accelerate delivery and enhance efficiency.

Managed services: Enterprises will increasingly seek comprehensive end-to-end ownership of critical functions such as DevOps, quality assurance, or cloud management from their partners.

With these profound shifts, Vietnam's software ecosystem is poised to become even more consultative, supremely scalable, and profoundly innovation-focused, thereby enabling deeper client partnerships and securing higher-value contracts.

PowerGate Software: A Trailblazer in Vietnam's Next Tech Wave

Among the pioneering companies exemplifying this remarkable transformation is PowerGate Software. Founded in 2011, established over a decade of proven expertise, PowerGate Software has evolved into a distinguished global software product studio, serving a broad spectrum of clients across North America, Europe, Asia, and Australia.

PowerGate Software is certified ISO 27001

Headquartered in Hanoi, Vietnam, with satellite offices in the US, UK, Canada and Australia, PowerGate Software has successfully delivered over 200 impactful projects spanning critical sectors such as FinTech, HealthTech, EdTech, Logistics, and cutting-edge AI applications. PowerGate Software's strategic capabilities were notably underscored by its pivotal role in co-developing a significant digital solution that was subsequently acquired by Microsoft for integration into its enterprise ecosystem. This collaboration powerfully demonstrates PowerGate Software's capacity to build market-leading, globally impactful products.

What truly distinguishes PowerGate is its comprehensive, end-to-end delivery model:

In-depth strategic product consulting

Rapid and iterative MVP development

Seamless enterprise software modernization

Advanced AI and data engineering solutions

Dedicated long-term support and scalable maintenance

Clients engage PowerGate Software not merely for technical execution, but for genuinely co-creating innovative digital products that are meticulously built for optimal market fit, unparalleled scale, and enduring sustainability.

To ensure its unwavering commitment to service excellence, PowerGate holds certifications in both ISO 9001:2015 for quality management and ISO 27001:2022 for information security, unequivocally underscoring its dedication to global standards. The company's agile delivery teams rigorously follow Agile/Scrum methodologies, and its engineers receive continuous training in both technical and domain-specific competencies.

As Vietnam's software industry matures and ascends, PowerGate Software stands as a compelling benchmark of what is truly possible, a proudly homegrown company that now operates as a sophisticated global technology partner, empowering clients to unlock exponential growth through relentless innovation.

Source: benzinga.com

#software #vietnam

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firstcrazydeveloper · 3 days ago

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🚀 Agentic AI Is Here — And You Can Build It Today with Azure AI Studio

Agentic AI Is Here — And You Can Build It Today with Azure AI Studio!

I just published a hands-on blog that walks you through how to design and deploy agent-based applications using Azure AI Studio — Microsoft’s powerful new platform for building AI systems that think, plan, and act like digital teammates.

🔧 What’s inside: ✅ What agent-based apps really are ✅ How Azure AI Studio empowers developers & architects ✅ Step-by-step to create your first AI agent ✅ Tool integration, vector search (RAG), and deployment ✅ Architecture diagram for visual learners ✅ Real-world enterprise use cases

💡 Abhishek’s Take: “With Azure AI Studio, you’re not just writing prompts—you’re engineering intelligent behavior. Agent-based AI is the future backend workforce.”

👉 Read the full blog here:

Let’s architect intelligent systems—not just apps. Let’s build AI with purpose. 🧠⚙️

AzureAI #AzureAIStudio #AgenticAI #PromptFlow #AIStudio #MicrosoftAzure #LLMOps #GenerativeAI #AIFoundry #EnterpriseAI #AIWithAzure #AbhishekOnAI #DigitalTransformation #AIAgents #VectorSearch #RAG #AIApplications #AzureDeveloper #FirstCrazyDeveloper #Abhishekumar

#azure #artificial intelligence #azureai #AzureAIStudio #LLMOps #AIFoundry #AIAgents #AbhishekKumar #RAG

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anilpal · 5 days ago

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Top 10 Functional Testing Tools for End-to-End Automation in 2025

Functional testing is a cornerstone of software quality assurance, ensuring that applications perform as intended by validating features against requirements. End-to-end (E2E) automation takes this a step further, testing entire user workflows across web, mobile, API, and desktop applications to deliver seamless experiences. With the rapid pace of software development in 2025, choosing the right functional testing tool for E2E automation is critical for QA teams, developers, and DevOps engineers. These tools streamline testing, reduce manual effort, and enhance coverage, aligning with agile and CI/CD workflows. This blog explores the top 10 functional testing tools for E2E automation in 2025, starting with Genqe.ai, a leader in AI-driven, no-code testing, followed by other top solutions to meet diverse testing needs.

1. Genqe.ai

Genqe.ai is an AI-powered, no-code testing platform that excels in end-to-end functional testing for web, mobile, API, and desktop applications. Its generative AI and intuitive interface make it accessible to technical and non-technical users, ensuring comprehensive automation with minimal effort.

Key Features:

AI-driven test case generation for functional and E2E scenarios.

No-code interface for rapid test creation and execution.

Self-healing tests that adapt to UI and application changes.

Synthetic test data for realistic user scenarios, including edge cases.

Cross-platform testing across web, iOS, Android, and APIs.

CI/CD integration with tools like Jenkins, GitHub Actions, and Azure DevOps.

Real-time analytics for test coverage, defects, and performance insights.

Best For: Teams seeking an AI-driven, no-code solution for scalable E2E automation across platforms.

Why It Stands Out: Genqe.ai’s AI automation and self-healing capabilities reduce test maintenance, while its no-code approach empowers diverse teams to ensure robust software quality.

2. Katalon Studio

Katalon Studio is a versatile automation tool renowned for its comprehensive support for web, mobile, API, and desktop testing. Its user-friendly interface and extensive integrations make it a popular choice for E2E functional testing.

Key Features:

Supports web, mobile, API, and desktop testing in a single platform.

Built-in keywords and plugins for rapid test creation.

Seamless CI/CD integration with Jenkins, GitLab, and Azure DevOps.

Advanced reporting and analytics for test execution insights.

Scalable for teams of all sizes with minimal coding required.

Best For: Teams needing a one-stop solution for diverse testing needs.

Why It Stands Out: Katalon’s all-in-one approach and scalability make it ideal for comprehensive E2E testing.

3. Testim

Testim leverages AI to streamline functional and E2E testing, particularly for web and Salesforce applications. Its self-healing tests and low-code interface simplify automation for agile teams.

Key Features:

AI-powered test automation with self-healing locators.

Visual test editor for drag-and-drop test creation.

Supports parallel testing across multiple browsers.

Integrates with CI/CD tools like Jira, GitHub, and CircleCI.

Specialized features for Salesforce testing.

Best For: Teams focused on web and Salesforce applications with agile workflows.

Why It Stands Out: Testim’s AI-driven self-healing reduces test maintenance, enhancing efficiency for dynamic applications.

4. LambdaTest

LambdaTest is a cloud-based platform offering scalable E2E testing across 5,000+ real browsers, devices, and operating systems. Its AI-powered features ensure robust functional testing.

Key Features:

Cross-browser and cross-device testing on a real device cloud.

AI-driven visual regression testing and flaky test handling.

Parallel test execution for faster results.

Integrates with Selenium, Playwright, Cypress, and CI/CD tools.

HyperExecute for 70% faster test orchestration.

Best For: Teams needing scalable, cloud-based testing with extensive device coverage.

Why It Stands Out: LambdaTest’s vast device cloud and AI features ensure comprehensive E2E testing for modern applications.

5. BrowserStack

BrowserStack is a cloud-based testing platform that supports E2E functional testing across 3,000+ real browsers and devices, ensuring consistent user experiences.

Key Features:

Cross-browser and cross-device testing on real environments.

Supports Selenium, Cypress, Puppeteer, and Playwright.

Parallel testing and CI/CD integrations (Jenkins, GitHub Actions).

Detailed debugging with logs, screenshots, and videos.

Accessibility testing for WCAG compliance.

Best For: Teams requiring robust cross-browser and mobile testing.

Why It Stands Out: BrowserStack’s real device cloud and debugging tools ensure accurate E2E testing across diverse platforms.

6. Playwright

Playwright is an open-source framework designed for reliable E2E testing of modern web applications, supporting multiple browsers and platforms with a single API.

Key Features:

Cross-browser support (Chromium, Firefox, WebKit).

Network interception and element manipulation for complex scenarios.

Parallel testing and auto-wait features for stability.

CI/CD integration with CircleCI, Jenkins, and GitLab.

Supports JavaScript, Python, C#, and Java.

Best For: Developers needing flexible, code-based E2E testing for web apps.

Why It Stands Out: Playwright’s robust API and cross-browser support make it ideal for modern web testing.

7. Cypress

Cypress is a JavaScript-based E2E testing framework known for its fast setup and real-time feedback, ideal for testing modern web applications.

Key Features:

Real-time test execution with instant feedback.

Network traffic interception and mocking.

Automatic waiting to reduce flaky tests.

Dashboard for test analytics and recordings.

Integrates with CI/CD tools like GitHub Actions.

Best For: JavaScript developers focused on web application testing.

Why It Stands Out: Cypress’s developer-friendly setup and real-time support streamline E2E testing.

8. TestComplete

TestComplete by SmartBear is a powerful tool for automating functional UI tests across web, mobile, and desktop applications, with AI-driven object recognition.

Key Features:

Visual recorder for scriptless test creation.

AI-powered object recognition for stable tests.

Supports data-driven and cross-platform testing.

Integrates with Jenkins, Jira, and Git.

Parallel testing for faster execution.

Best For: Teams needing automated UI testing across multiple platforms.

Why It Stands Out: TestComplete’s visual recorder and AI features simplify E2E automation for diverse applications.

9. QA Wolf

QA Wolf is a no-code, cloud-based platform designed for E2E testing of web applications, with a focus on simplicity and minimal maintenance.

Key Features:

No-code test creation with visual workflows.

Cross-browser testing on Chrome, Firefox, and Edge.

Parallel testing and CI/CD integration with GitHub Actions.

Detailed failure logs with videos and highlighted code.

Human expertise for test maintenance support.

Best For: Teams with limited coding expertise needing simple E2E testing.

Why It Stands Out: QA Wolf’s no-code approach and human support make E2E testing accessible and efficient.

10. Appium

Appium is an open-source automation framework for testing native, hybrid, and mobile web applications across iOS, Android, and Windows platforms.

Key Features:

Multi-platform support with a single test script.

Supports languages like Java, Python, Ruby, and C#.

Runs tests on real devices and emulators.

Integrates with CI/CD tools like Jenkins.

Parallel testing for faster execution.

Best For: Teams focused on mobile app testing across iOS and Android.

Why It Stands Out: Appium’s cross-platform flexibility and open-source nature make it a go-to for mobile E2E testing.

Choosing the Right Functional Testing Tool

Selecting the ideal tool depends on your project’s needs, team expertise, and workflow:

Ease of Use: Genqe.ai and QA Wolf offer no-code interfaces, ideal for non-technical users, while Playwright and Cypress suit developers.

Platform Support: BrowserStack and LambdaTest provide extensive device clouds, while Genqe.ai and Katalon support web, mobile, API, and desktop.

AI and Automation: Genqe.ai, Testim, and LambdaTest leverage AI for self-healing and test generation, reducing maintenance.

Scalability: BrowserStack, LambdaTest, and Katalon excel in scalable, cloud-based testing.

Budget: Cypress, Playwright, and Appium are free and open-source, while Genqe.ai and TestComplete offer robust features with trial options.

CI/CD Integration: All tools support CI/CD, but Genqe.ai, Katalon, and BrowserStack offer seamless integrations for agile workflows.

Best Practices for E2E Functional Testing with Genqe.ai

Define Clear Test Scenarios: Use Genqe.ai to generate E2E test cases based on user workflows and requirements.

Leverage AI Automation: Utilize Genqe.ai’s AI to create tests covering functional, edge, and cross-platform scenarios.

Use Synthetic Data: Simulate realistic user interactions with Genqe.ai’s synthetic data for comprehensive coverage.

Integrate with CI/CD: Embed Genqe.ai in pipelines for continuous testing and real-time feedback.

Monitor Analytics: Analyze Genqe.ai’s real-time reports to identify defects and optimize test coverage.

Conclusion

End-to-end functional testing is essential for delivering high-quality software that meets user expectations in 2025. Genqe.ai leads the way with its AI-driven, no-code platform, offering seamless automation, cross-platform support, and self-healing tests. Other tools like Katalon Studio, Testim, and BrowserStack provide robust options for diverse testing needs, from mobile to web to API testing. By selecting the right tool and following best practices, teams can streamline E2E testing, reduce defects, and accelerate releases in agile environments.

Ready to supercharge your E2E testing? Start with Genqe.ai’s innovative platform and explore its free trial at Genqe.ai.

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mrugaja3ri · 7 days ago

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Top Certifications for 2025 to Advance Your Career in Data Science

Introduction: Why Data Science Certifications Matter in 2025

In today’s data-driven economy, the demand for skilled data science professionals continues to surge across industries such as finance, healthcare, e-commerce, logistics, and manufacturing. As companies strive to make data-centric decisions, certifications in data science have become a vital tool for validating a candidate’s expertise, especially in a competitive job market.

In 2025, certifications not only enhance your knowledge base but also demonstrate your commitment to continuous learning, making your profile more attractive to recruiters and hiring managers. This article explores the top data science certifications in 2025 that can significantly boost your career.

1. IBM Data Science Professional Certificate (Coursera)

Overview

Offered by IBM via Coursera, this beginner-friendly certification provides a solid foundation in data science. It includes hands-on projects using Python, SQL, data visualization, and machine learning tools.

Why It’s Valuable in 2025

Covers end-to-end data science workflows.

Teaches practical tools like Jupyter Notebooks, Pandas, and Scikit-learn.

No prerequisites required, making it accessible to newcomers.

Certification Highlights

Duration: 3 to 6 months (self-paced)

Cost: Free trial; ~$39/month (Coursera subscription)

Skills Covered: Python, SQL, data visualization, predictive modeling, machine learning basics

Credential Provider: IBM

2. Google Advanced Data Analytics Professional Certificate

Overview

Launched under Google’s Career Certificates program, this course targets learners ready for mid-level or advanced roles in analytics and data science.

Why It’s Valuable in 2025

Focuses on Python, R, regression models, and data ethics.

Designed to help learners move from business analysts to data scientists.

Offered through Coursera with interactive projects and cloud integration.

Certification Highlights

Duration: ~6 months (at 10 hours/week)

Cost: ~$49/month (Coursera subscription)

Skills Covered: R programming, Python, machine learning, BigQuery, business statistics

Credential Provider: Google

3. Microsoft Certified: Azure Data Scientist Associate

Overview

Perfect for professionals working with cloud-based data platforms, this certification focuses on machine learning operations (MLOps) on Azure.

Why It’s Valuable in 2025

Ideal for professionals aiming to deploy models in production environments.

Microsoft Azure is among the top cloud service providers used globally.

Certification is highly respected in enterprise environments.

Certification Highlights

Exam Code: DP-100

Cost: $165 (may vary by location)

Skills Covered: Azure ML Studio, automated ML, responsible AI, data pipeline integration

Credential Provider: Microsoft

4. Certified Data Scientist – Data Science Council of America (DASCA)

Overview

DASCA certifications are well-recognized globally, offering vendor-neutral training and credentialing for data professionals at various levels.

Why It’s Valuable in 2025

Offers different levels: Associate (ABDA), Senior (SDS), and Principal (PDS).

Backed by strong frameworks aligned with industry needs.

Focuses on both theoretical knowledge and practical applications.

Certification Highlights

Levels: ABDA, SDS, PDS

Cost: $585 to $775

Skills Covered: Big Data, machine learning, data engineering, Hadoop, Spark

Credential Provider: DASCA

5. HarvardX's Data Science Professional Certificate (edX)

Overview

Offered by Harvard University on edX, this course series provides an academic and practical approach to core data science concepts.

Why It’s Valuable in 2025

Taught by Harvard professors.

Covers R programming extensively—important for statistical modeling.

Structured in a university-grade format with assessments.

Certification Highlights

Duration: ~9 months

Cost: $792 for full program (can audit for free)

Skills Covered: R, statistics, data wrangling, machine learning, linear regression

Credential Provider: Harvard University

6. Certified Specialist in Predictive Analytics (CSPA) – IABAC

Overview

This certification from the International Association of Business Analytics Certification (IABAC) is ideal for professionals focused on statistical modeling and business forecasting.

Why It’s Valuable in 2025

Focuses on applied predictive analytics for business outcomes.

Emphasizes tools like Python, R, and statistical packages.

Widely recognized in European and Asian job markets.

Certification Highlights

Duration: 3 to 6 months

Cost: ~$300

Skills Covered: Time-series forecasting, regression, clustering, business applications

Credential Provider: IABAC

7. TensorFlow Developer Certificate

Overview

This certificate validates your ability to build and train deep learning models using TensorFlow, an essential skill for AI-focused roles.

Why It’s Valuable in 2025

TensorFlow remains one of the most used deep learning frameworks.

Focuses on hands-on skills in model training and deployment.

Great for candidates aiming at ML engineer or AI roles.

Certification Highlights

Exam: 5-hour coding test

Cost: $100

Skills Covered: CNNs, NLP, TensorFlow libraries, model tuning

Credential Provider: TensorFlow (Google Brain Team)

8. Stanford’s Machine Learning Certificate (Coursera)

Overview

One of the most popular and enduring online ML courses, taught by Andrew Ng, co-founder of Coursera and AI pioneer.

Why It’s Valuable in 2025

Widely accepted by recruiters as proof of understanding ML concepts.

Updated versions include TensorFlow and practical deep learning tools.

Strong academic credibility.

Certification Highlights

Duration: 11 weeks

Cost: ~$79

Skills Covered: Linear regression, neural networks, support vector machines

Credential Provider: Stanford University via Coursera

9. Cloudera Data Platform Generalist Certification

Overview

Cloudera offers certifications aimed at those working with big data platforms and distributed data processing systems.

Why It’s Valuable in 2025

Covers Hadoop, Spark, Hive, and Cloudera’s data lifecycle.

Great for professionals working in data lakes and big data infrastructure.

Demand for big data engineers remains strong.

Certification Highlights

Exam: Proctored online

Cost: $300

Skills Covered: Big data workflows, data pipeline building, Spark, Hadoop

Credential Provider: Cloudera

10. AWS Certified Machine Learning – Specialty

Overview

This certificate validates your expertise in building, training, and deploying ML models using Amazon Web Services (AWS).

Why It’s Valuable in 2025

Cloud ML is a growing domain with AWS as the leader.

Ideal for MLOps professionals or cloud data scientists.

Recognized globally by top employers.

Certification Highlights

Exam Duration: 3 hours

Cost: $300

Skills Covered: AWS SageMaker, model deployment, feature engineering, ML pipelines

Credential Provider: Amazon Web Services

How to Choose the Right Certification in 2025

Career Stage: Beginners should start with IBM, Google, or HarvardX. Professionals can pursue DASCA, AWS, or Azure certifications.

Domain Focus: Choose specialized certs like TensorFlow or CSPA if you're into ML or analytics.

Budget: Consider your budget, as some costs are as low as $39/month while others go beyond $500.

Learning Style: Academic learners may prefer edX or Coursera. Hands-on learners can opt for TensorFlow or AWS.

Conclusion: Certification Is Your Career Catalyst

As data science continues to evolve, staying relevant means continuously updating your skills. Earning a data science certification in 2025 is one of the most effective ways to validate your knowledge, boost your employability, and stand out in an increasingly competitive job market.

Whether you’re starting out or moving up the ladder, these certifications can serve as key milestones in your journey toward becoming a successful data science professional.

#DataScience #DataScience2025 #LearnDataScience #DataScienceCareer #FutureOfDataScience

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