I currently work in the tech field and have recently gotten really interested in Generative AI. I've gone through some beginner content which was free and on youtube and now I'm thinking about taking it more seriously and getting a certification that could actually help me transition into a GenAI-focused role.

There are tons of certification options out there from different companies, but it's hard to tell which ones are actually worth the time and money or recognized by employers.

If anyone here has taken a genAI certification that helped you gain practical skills or opened up real opportunities, I'd love to hear your recommendations

I’ve been working in a tech company for about 3 years now I work with multiple teams and I want to start implementing Genai into some of the processes. There are so many courses out there but I don't know which one to choose i’m a beginner and looking for something that actually teaches the basics well and isn’t outdated, but rather up to date.

If anyone has taken a course or knows of one that would be useful, I’d love to hear your suggestion I just want something practical and easy to follow.

i've been working in a tech company for over 3 years and I want to start incorporating GenAI into my day to day work. I’ve came across a lot of courses while exploring options but I haven’t been able to decide. I’m looking for something that’s up to date teaches the fundamentals clearly and actually helps build real skills.

If anyone has taken a course, i’d love to hear your suggestions

What are some best Al courses and certificates for software engineers to transition to an Al engineering career?

I have 7 years experience and am trying to navigate to this new age career

Hey Guys, how are u?

Recently i saw that GCP has launched a new Certification called Generative AI Leader.

Has anyone tried to do the test? Does anyone have tips and materials to recommend?

Want to do a short-term course on applied generative AI, that will enable me to start applying it at work, and also help me develop different use cases, business applications, etc.

• Duration - Preferably 6 mo or less

• Some combination of self-paced study structure/schedule and live sessions/mentoring will be great.

• Flexible schedule/timings but something to keep accountability in check, a mentor/community to reach out to, and some hands-on projects, or case studies to work on.

Hi everyone! 👋 I’m Mohammad Mousa — a Mechanical Engineer with 5+ years of engineering experience and 2+ years in R&D. I’m now considering shifting my career toward Generative AI, which I’ve already been applying in my research, specifically in mathematical modeling (Python) — it’s dramatically improved my productivity and efficiency! 💻✨

I’ve completed:

✅ AI for Everyone – DeepLearning

✅ Supervised Machine Learning: Regression & Classification – Stanford Online

Currently exploring certifications, including:

🌟 IBM GenAI Engineering - (my top choice so far)

🌟 IBM GenAI Engineering Certification - WatsonX

🌟 MIT Applied GenAI

🌟 Microsoft Azure, AWS, Google Cloud, Databricks

🌟 NVIDIA, PMI, CGAI, and more

🧠 I’d appreciate any advice on the most valuable certifications or learning paths to break into the field! 🙌

Yesterday, Microsoft launched a new AI Skills Initiative that promises to revolutionize technical skill training and bridge the workforce gap. This initiative is backed by some of Microsoft's biggest philanthropists and is part of their larger vision to democratize AI skills and create a public that is ready for the AI movement.
Key highlights:

• As part of the initiative, Microsoft is introducing what it calls the First Professional Certificate on Generative AI in online learning. This will be a game-changer in the field of online AI education.

• The initiative includes a global grant challenge, free online courses accessible here, and a specialized toolkit for teachers.

• This challenge will support organizations, including nonprofits, social enterprises, and academic institutions,
  Why you should care:

• According to the World Economic Forum, AI skills are ranked the "third-highest priority for companies training strategies." Becoming well versed in generative AI can give you a huge leg up in the professional world.

• By creating the first Professional Certificate on Generative AI, Microsoft is providing accessible, quality education in this emerging field.

• This is a great move by them to bring free education into a space that is so new for most people. You can learn more and apply here.
  Before you go: I run a free AI newsletter that gives you actionable insight on all things AI. Summarizing the most important AI events daily. If you liked this you would love the content from this tool!

I passed the Google Cloud Generative AI Leader Certification. Thanks to GCP Study Hub. Next, is the ML Engineer.. GCP Study Hub is worth the investment.

seems like there’s a lot of options for getting into generative ai. i’m really leaning towards trying out something from udacity, pluralsight, codecademy, or edx, but it’s hard to tell what actually helps you build real things versus just understand the concepts. i’m less worried about pure theory and more about getting to the point where i can actually make something useful. for people who’ve been learning gen ai recently, what’s worked best for you?

Big news from Google Cloud! They've just announced a first-of-its-kind certification focused on Generative AI for business and tech leaders. It’s called the Google Cloud Generative AI Leader Certification, and it's designed to validate your ability to lead gen AI initiatives, align them with business goals, and understand core capabilities in Google Cloud.

💰 Cost: $99
⏱️ Time: 90 minutes
🌍 Availability: Global (starting May 14th)

📘 Exam covers four key areas:

1. Generative AI Fundamentals (30%) – Core concepts, terminology, and principles.

2. Google Cloud Gen AI Offerings (35%) – Tools, services, and real-world use cases.

3. Techniques to Improve Output (20%) – Prompting, fine-tuning, and LLM optimization.

4. Business Strategy (15%) – Secure, ethical, and impactful AI adoption practices.

This is a great move for professionals who want to bridge the gap between AI tech and business strategy, especially if you're in product, consulting, or leadership roles.

🧠 Looks like it’s more about strategic enablement than hardcore model building—perfect for non-engineers who still want to be AI-savvy.

🔗 Official link: https://cloud.google.com/certification/generative-ai-leader

Anyone planning to take it? Thoughts on how it compares to other AI certifications out there?

I have very basic knowledge of Gen-AL and ML and I want to increase it to be an able to get a job in this domain. What is best or good online certification I can do to develop better understanding and acquire practical skills for the tech industry ?

1. Generative AI learning path by Google Cloud. A series of 10 courses on generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud [Link].

2. Generative AI short courses by DeepLearning.AI - Five short courses on generative AI including LangChain for LLM Application Development, How Diffusion Models Work and more. [Link].

3. LLM Bootcamp: A series of free lectures by The full Stack on building and deploying LLM apps [Link].

4. Building AI Products with OpenAI - a free course by CoRise in collaboration with OpenAI [Link].

5. Free Course by Activeloop on LangChain & Vector Databases in Production [Link].

6. Pinecone learning center - Lots of free guides as well as complete handbooks on LangChain, vector embeddings etc. by Pinecone [Link].

7. Build AI Apps with ChatGPT, Dall-E and GPT-4  - a free course on Scrimba [Link].

8. Gartner Experts Answer the Top Generative AI Questions for Your Enterprise - a report by Gartner [Link]

9. GPT best practices: A guide by OpenAI that shares strategies and tactics for getting better results from GPTs [Link].

10. OpenAI cookbook by OpenAI - Examples and guides for using the OpenAI API [Link].

11. Prompt injection explained, with video, slides, and a transcript from a webinar organized by LangChain [Link].

12. A detailed guide to Prompt Engineering by DAIR.AI [Link]

13. What Are Transformer Models and How Do They Work. A tutorial by Cohere AI [Link]

14. Learn Prompting: an open source course on prompt engineering[Link]

P.S. These resources are part of the content I share through my AI-focused newsletter, AI Brews. - it's free to join, sent only once a week with bite-sized news, learning resources and selected tools. Thanks!

Hi everyone, I’m planning to take the Google Cloud Generative AI Leader certification and have a few questions:

1. What is the level of difficulty of the exam? (For example: how many scenario-based questions, how technical vs strategic?)

2. Does anyone have previous year question banks or practice papers (or strong suggestions for practice exams) they used with good results?

3. The exam can be taken remote or onsite (in a test centre) — from your experience which is better, and are there any pros/cons (e.g., remote proctoring issues, test-centre environment) especially for candidates in India?

I’d appreciate any tips, your personal experience, or caveats you found during your preparation.

Thanks in advance!

I just cleared the exam with 92% (passing score is 68%). Honestly, I think people overhype the difficulty. In my experience, just going through the official OCI course and practicing with the sample questions is enough.

Most of the exam questions were almost identical to the practice ones, so focus on those. Don’t just memorize, make sure you actually understand the concepts behind each question. With that approach, one to two weeks of prep is more than enough to pass comfortably.

There were a few coding related questions, but they were really so simple you could almost guess them right.

So yeah, finish the course, get the concepts clear, do the practice exams seriously, and you’ll be set. Best of luck!

What are the skills required to be a Software Engineer AI. Please suggest the best courses on Generative AI, LLMs, Langchain, Hugging face and other skills.
Udemy preferred, but other platforms also fine.

been trying to get deeper into ai stuff lately and im specifically looking for a generative ai course with projects i can actually build and show off after. most of what i find online feels super basic or just theory with no real hands on work. anyone here taken one thats worth it? id rather spend time on something practical than sit through another lecture heavy course.