Master Practical AI: 100 Projects & Real-World Applications

What you will learn:

Build and deploy 100 practical AI projects
Master core AI concepts (NLP, computer vision, agents)
Utilize essential libraries (PyTorch, TensorFlow, Hugging Face, LangChain)
Create interactive AI apps (Streamlit, FastAPI, Gradio)
Fine-tune LLMs & build local agentic systems
Apply AI across diverse domains (healthcare, finance, etc.)
Integrate various AI models into full-stack applications
Rigorously evaluate and test LLMs for safety & accuracy
Utilize powerful offline tools (ChromaDB, Ollama, LangGraph)
Develop ethical and human-centered AI systems

Description

Dive into the world of Artificial Intelligence with our comprehensive, project-based course. This isn't just theory; you'll build 100 real-world AI applications from scratch, using Python and cutting-edge tools like LangChain, Ollama, and Streamlit. Whether you're a complete beginner or an experienced developer looking to upskill, this course provides a structured path to AI mastery.

Over 100 days, you'll tackle diverse projects, mastering core AI concepts such as machine learning, deep learning, natural language processing, and computer vision. You'll work with Large Language Models (LLMs), build intelligent agents, develop local AI applications, and explore crucial areas like AI ethics and safety. Each project includes detailed code, explanations, and opportunities for customization, making it perfect for portfolio building and job interviews.

We leverage powerful open-source tools such as LangChain for prompt engineering, Ollama for local LLM execution (including LLaMA 3, Mistral, and Phi-2), Streamlit & Gradio for interactive web app development, ChromaDB for efficient vector search, and CrewAI & LangGraph for advanced multi-agent systems. Unlike many courses that rely on cloud APIs, we focus on offline development, emphasizing data privacy and control.

By the course's end, you'll be proficient in building AI chatbots, search engines, recommendation systems, and speech agents. You'll understand how to fine-tune LLMs, implement agentic systems with memory and reasoning, and evaluate models rigorously. The curriculum also includes an ethical component, prompting you to create your own AI manifesto and alignment strategy, fostering responsible AI development. This intensive journey will transform you into a confident, capable AI builder prepared for the future of technology.

Curriculum

Foundations of AI

This section lays the groundwork for your AI journey. You'll explore the fundamental concepts of AI, covering its definition, relevant mathematics and programming skills, and the basics of machine learning. Lectures include an introduction to AI, essential mathematical concepts for AI, crucial programming techniques for AI implementation, and a deep dive into the core principles of machine learning. Each lecture will be a practical exploration to build a foundational understanding.

Core AI Domains

Delve into the major branches of AI, including deep learning, natural language processing (NLP), computer vision, speech and audio processing, and reinforcement learning. Each area will be explored through engaging lectures providing a thorough grounding in these critical areas, equipping you with the tools necessary to build advanced projects in these areas.

AI Tools & Infrastructure

Master the essential tools and frameworks that power AI development. This includes popular AI frameworks, data handling and MLOps (Machine Learning Operations) best practices, creating efficient AI pipelines, and an exploration of the advantages and disadvantages of cloud versus local AI infrastructure. This will be extremely helpful to complete the 100 projects.

Agentic AI & Autonomous Systems

Learn to build intelligent agents and autonomous systems. This section covers the design and implementation of AI agents, explores the complexities of multi-agent systems, and delves into the Model Context Protocol (MCP) a critical component in advanced agent creation. A key section for becoming a complete AI expert.

Real-World AI Applications

Explore the practical applications of AI across various industries, including healthcare, finance, manufacturing, robotics, education, law, media, and national security and defense. Each lecture provides specific examples of successful applications which you will be able to build on in your future career or projects.

Ethics, Safety, & Philosophy

Understand the ethical considerations, safety protocols, and philosophical implications of AI. Topics include addressing bias in AI, ensuring AI safety and alignment, exploring AI's societal impact, and contemplating the philosophy of mind and machine consciousness. An extremely important section for responsible AI creation.

The Future of AI

Explore cutting-edge developments and future trends in the field of AI, including the potential for Artificial General Intelligence (AGI), quantum AI, the convergence of AI with other emerging technologies, the governance of AI, and the global policy landscape. A forward-looking section.

100 AI Projects

The core of the course: build 100 diverse projects, progressing from foundational concepts to advanced techniques. These projects cover supervised and unsupervised learning, NLP, computer vision, AI agents, speech and audio processing, real-world applications, web deployment, and ethical considerations. Each stage builds on previous sections to develop critical skills and give you confidence in your abilities.