AI Bible: From Beginner to Builder in 100 Projects | Udemy [Update 05/2025]
English | Size: 2.26 GB
Genre: eLearning[/center]

Master AI by building 100 real-world projects using Python, LLMs, agents, tools like LangChain, Ollama, and Streamlit

What you'll learn
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

Welcome to the AI Bible - your ultimate, hands-on guide to mastering artificial intelligence through 100 real-world projects. This isn't just another theory-heavy AI course. It's a practical, immersive journey designed to help you learn AI by building, from day one.

Whether you're a beginner, a self-taught developer, or a seasoned engineer looking to pivot into the AI space, this course gives you the tools, confidence, and structure to go from zero to building production-ready AI applications. You'll not only gain an understanding of core concepts like machine learning, deep learning, natural language processing, and computer vision, but you'll actually use them to create projects that solve real problems.

Over 100 days, you'll work on 100 standalone projects that cover everything from basic AI models to cutting-edge systems involving LLMs, agents, tool use, voice processing, search, memory, and multi-agent orchestration. Each project comes with clear code, explanations, and ideas for customization-making it the perfect resource for portfolio building, interviews, or startups.

You'll explore and integrate powerful open-source tools including:

LangChain, for chaining together LLM prompts and tools

Ollama, to run local LLMs like LLaMA 3, Mistral, and Phi-2

Streamlit and Gradio, for building interactive AI-powered web apps

ChromaDB, for local vector search and RAG (Retrieval-Augmented Generation)

CrewAI and LangGraph, to build advanced multi-agent systems

Unlike most courses, you won't be dependent on cloud APIs. This curriculum emphasizes offline, local AI development, ensuring you learn to build powerful applications with full data privacy, portability, and control.

By the end of this course, you will:

Understand and apply machine learning and deep learning fundamentals

Use transformers and pretrained LLMs in practical applications

Build tools like AI chatbots, search engines, recommender systems, and speech agents

Implement your own AI agents with memory, tools, reflection, and reasoning

Evaluate models using your own LLM evaluation suite and red team test sets

Develop an ethical AI mindset by writing your own AI Manifesto and alignment strategy

This course is also a reflection on how we build AI: the final project asks you to create a Personal AI Manifesto, helping you align your skills with the kind of world you want to create.

Whether you want to become an AI engineer, launch your own AI startup, or just understand the technology shaping the future, the AI Bible gives you everything you need-one project at a time.

Who this course is for:
Aspiring AI engineers who want to build real-world projects and gain hands-on experience
Developers and software engineers looking to transition into AI and machine learning
Students and self-learners who want a structured, project-based way to master AI
Startup founders and tech entrepreneurs seeking to prototype AI-powered applications
Educators and tech mentors who want ready-to-use projects to teach AI in practical settings
Anyone curious about AI and motivated to learn by building instead of just reading theory

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