AI
Ananya Iyer
Sep 18, 2026
Been learning this for a few days now. Clean design and the notes are to the point
Ai Engineering Core
Prerequisites
- Basic knowledge of Python programming
- Familiarity with fundamental programming concepts
- A computer with an internet connection
- No advanced mathematics or prior AI/ML experience is required
- Basic familiarity with APIs and Git is helpful, but not mandatory
Course Curriculum
7 sections • 48 chapters • 11 Hours
Learner reviews
4.73 reviews
5
2
4
1
3
0
2
0
1
0
Sign in to review this course.
RM
Rohan Mehta
Sep 18, 2026
Good content overall. Wish there were a couple more examples, but solid.
PS
Priya Sharma
Sep 18, 2026
Really easy to follow along. The visuals made complex topics click for me instantly.
Please Sign In to Continue
Level:Beginner
Duration:11 hours
Students:612
What you'll learn
- Understand Generative AI, LLMs, Transformers, and Prompt Engineering
- Work with models like ChatGPT, Claude, Gemini, DeepSeek, and Ollama
- Build AI applications using Hugging Face, LangChain, and LLM APIs
- Build RAG systems using embeddings and vector databases
- Learn fine-tuning and QLoRA to customize LLMs
- Build AI agents and Agentic AI systems with tools, memory, and orchestration
- Create multimodal AI applications with text, image, and audio
- Build practical real-world AI engineering projects