AI engineers earn about $247k/year 1, and a significant portion of venture capital goes to AI startups 2. Companies are planning to invest $200 billion in AI infrastructure next year 3.
As GenAI Agents AI becomes more influential, there will be many opportunities for those with the right skills.
For those interested in building generative AI agents, frameworks like LangGraph are essential. LangGraph allows you to create stateful, multi-actor applications with LLMs, offering features like cycles, controllability, and persistence. This makes it ideal for developing reliable AI agents with advanced capabilities.
As a GenAI practitioner, I needed to understand fundamental concepts, LLM architectures, and cutting-edge techniques. To find the best courses, I created a course scraper to filter through the vast options available.
Rank |
Title Link |
Provider |
Focus |
Rating |
Level |
Duration |
|---|---|---|---|---|---|---|
| 1 | AI Agents in LangGraph | DeepLearning.ai | Intro, Data Science | 4.8 | Beginner | 1 Hour |
| 2 | LangGraph- Develop LLM powered agents with LangGraph | Udemy | ||||
| (Eden Marco) | Developers, GenAI Application Development | 4.74 | Advanced | 6 Hours | ||
| 3 | LangGraph Crash Course with code examples | |||||
| YouTube | ||||||
| (Sam Witteveen) | Developers, Data Scientists | NA | Beginner | 49 Minutes |
https://www.youtube.com/watch?v=EqEXTGot2xs&t=1s
Details |
|
|---|---|
| Rating | 🏅 Not available (New course) |
| Pricing | 💰 Free-$49.99/month |
| Level | 🎓 Beginner |
| Best For | 🚀 Overview, Agent literacy, Developers |
| Course Link | 🔗 Enroll |
Who should take this course?