AI Bible: From Beginner to Builder in 100 Projects

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

Requirements
- A basic understanding of Python programming (variables, functions, loops)
- Familiarity with using Jupyter Notebooks or any Python IDE
- An interest in exploring how AI works through real-world projects
- A computer with at least 8GB of RAM and a stable internet connection
- (Optional) Basic knowledge of machine learning or data science concepts
- No prior AI/ML experience is required. This course will guide you from foundational topics to advanced projects step by step.

Description
Welcome to theAI Bible— your ultimate, hands-on guide to masteringartificial intelligencethrough100 real-world projects. This isn’t just another theory-heavy AI course. It’s a practical, immersive journey designed to help youlearn AI by building, from day one.

Whether you’re abeginner, aself-taught developer, or aseasoned engineerlooking to pivot into the AI space, this course gives you the tools, confidence, and structure to go fromzero to building production-ready AI applications. You’ll not only gain an understanding of core concepts likemachine learning,deep learning,natural language processing, andcomputer vision, but you’ll actually use them to create projects that solve real problems.

Over 100 days, you’ll work on100 standalone projectsthat cover everything from basic AI models to cutting-edge systems involvingLLMs,agents,tool use,voice processing,search,memory, andmulti-agent orchestration. Each project comes with clear code, explanations, and ideas for customization—making it the perfect resource forportfolio building,interviews, orstartups.

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

LangChain, for chaining together LLM prompts and tools

Ollama, to run local LLMs likeLLaMA 3,Mistral, andPhi-2

StreamlitandGradio, for building interactive AI-powered web apps

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

CrewAIandLangGraph, to build advancedmulti-agent systems

Unlike most courses, you won’t be dependent on cloud APIs. This curriculum emphasizesoffline, local AI development, ensuring you learn to build powerful applications with fulldata privacy,portability, andcontrol.

By the end of this course, you will:

Understand and applymachine learninganddeep learningfundamentals

Usetransformersandpretrained LLMsin practical applications

Build tools likeAI chatbots,search engines,recommender systems, andspeech agents

Implement your ownAI agentswith memory, tools, reflection, and reasoning

Evaluate models using your ownLLM evaluation suiteand red team test sets

Develop an ethical AI mindset by writing your ownAI Manifestoand alignment strategy

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

Whether you want tobecome an AI engineer, launch your own AI startup, or just understand the technology shaping the future, theAI Biblegives 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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