2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI

2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI
2025-02-01
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

From zero to professional level: learn the keys to Generative AI, LLM Apps, AI Agents, and Cursor AI.

What you’ll learn
Keys to AI, Generative AI, LLM Apps, and new AI Coding Assistants like Cursor AI.
LLM Apps with LangChain, CrewAI, LangGraph, LangServe and LangSmith.
How to build apps without coding using Cursor AI and AI Coding Assistants.
How to build the new Multimodal and Multi-Agent LLM Applications.
RAG Applications in Depth: Full Stack RAG Apps and Advanced Techniques.
How to manage LLMOps: Observability, Evaluation, Testing, Etc.
Keys to LLM Applications, the highest potential applications of Generative AI.
Architecture of professional LLM Applications.
The RAG Technique (Retrieval Augmented Generation).
Basic and advanced LangChain, LangChain LCEL, and LangChain v010. LangSmith, LangServe, LangChain Templates.
LCEL (LangChain Expression Language) in depth.
Basic and advanced LlamaIndex. LlamaIndex Templates.
ChatGPT, OpenAI, OpenAI functions, and the OpenAI API.
Large Language Models (LLM): ChatGPT, Llama2, Mistral, Falcon, etc.
Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc.
Full-Stack Applications: Nextjs and FastAPI.
Professional deployment: Vercel and Render.
Provisional deployment: Streamlit.
Cloud hosting: AWS S3.
How to apply the principles of Responsible AI.
Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc.

Requirements
No previous technical knowledge is required.
Students with some prior knowledge will improve their professional preparation.

Description
Who this course is for:
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