This involves learning about topics like RAG, agentic AI, system prompts and tool calls, these videos must be watched through carefully
- 2025 AI trends
- RAG Basics
- More on RAG
- Advance RAG
- Why not train models instead?
- Prompt Engineering vs RAG
- Agentic RAG
- RAG vs CAG
- RAG in 2025
- How to make AI more accurate
- RAFT - Swirl of RAG & Training
- Tool calling AI
- How do LLMs think?
- AI agents in action
- How AI and data combine to become agent AI
- Types of agentic AI
- Agentic AI usescases
- Agentic vs Generative AI
- Agentic Research
- Agentic RAG
- MCP
- What is an API
- MCP vs API
- Risks of agentic AI
These videos must be watched in order and practiced as well.
- Ollama and its magic
- Hugging face is github for models?
- What are Langchain and vector databases?
- Langsmith
- Langchain & LangGraph?
- Secrets management in Python
- Python AI Projects
- AI Agent In python
These python tools are essential to understand the current ecosystem, MUST be practiced while watching.
- Numpy course
- Numpy vs Pandas
- Pandas Course
- Advanced AI RAG and Agentic Bot
- How does instructor Help with better LLMs
- What, why and how of Pydantic
- How to write SQL in Python?
- What is Jinja Templating?
- FastAPI Course
Lastly, it is recommended to read Open AI API docs and research about how eleven labs works: