Level up your AI Engineering skills

Not that long ago, I set a personal goal — to dive deep into AI and see how far it can actually go in making life and work easier.

Call me lazy, but I’m all about working smarter, not harder. So, I jumped on the AI hype train and went all in with certifications and courses.

After exploring quite a few, I wanted to share the ones that truly stood out — categorized by topic for anyone looking to start or level up their AI journey.

General Prompting & Understanding AI

1. Google AI Essentials Specialization
   https://lnkd.in/dZXbsnP2
   Hands down, the best course for anyone new to prompting or just wanting to get more out of their prompts.

2. Frontend Masters: Practical Prompt Engineering
   https://lnkd.in/deiNJbcg
   This course is tailored for developers who want to improve prompting and vibe code prompt evaluation helper tool

3. Databricks Generative AI Fundamentals
   https://lnkd.in/dkEHhqRG
   A short, no-fluff course gives a solid overview of generative AI concepts.

AI Assisted Coding

1. Anthropic Claude Code: A Highly Agentic Coding Assistant
   https://lnkd.in/dqEVAdKR
   If you use Claude for development, this one is a must. Full of practical examples and agentic workflows.

2. Frontend Masters: Cursor & Claude Code – Professional AI Setup
   https://lnkd.in/dpymV75c
   Beginner-friendly and perfect for developers who use either of those tools for development.

3. Playwright Testing Agents: under the hood
   https://lnkd.in/e6S26AHy
   The title says it all, great video explaining playwright agents

AI Engineering

1. Amazon Web Services (AWS) Generative AI & AI Agents with Amazon Bedrock (formerly Generative AI for Developers)
   https://lnkd.in/dhUzw9MV
   I generally like AWS courses for interactive content, hands-on labs, and certificates that actually mean something.

2. DevOps and AI on AWS: Build Smarter, Faster Specialization
   https://lnkd.in/d2Y63Zka
   A great course for anyone curious about how AI and DevOps intersect.

3. Frontend Masters: Complete Intro to MCP
   https://lnkd.in/d_7Y_7e3
   Overview of MCP — great for understanding how it shapes LLM responses and AI architecture.

Bonus Read: The Agentic AI Bible
https://a.co/d/3XzwKYj
I’m still a few chapters in, but it’s a solid read if you’re interested in Agentic AI. The book is a good choice for anyone passionate about technology who wants some time away from a screen.
The early discussion on the difference between automation and autonomy resonated with me.

If you want to see my full AI learning path, check out my profile certificates — LinkedIn algorithms love that kind of thing.

And if you’ve taken an AI course that’s worth checking out, drop it in the comments below.