Master AI by building 100 real-world projects using Python, LLMs, agents, tools like LangChain, Ollama, and Streamlit
What you will learn
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Build and deploy 100 practical AI and ML projects from scratch
Understand core concepts in NLP, computer vision, and agents
Use libraries like PyTorch, TensorFlow, HuggingFace, and LangChain
Create AI apps with Streamlit, FastAPI, and Gradio
Fine-tune LLMs and build RAG and agentic systems locally
Apply AI in real-world domains: health, finance, education, etc.
Integrate speech, image, and text models into full-stack apps
Evaluate and test LLMs for safety, alignment, and accuracy
Use tools like ChromaDB, Ollama, and LangGraph offline
Develop ethical, aligned, and human-centered AI systems
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