🧠 What You Will Master
By the end of this course, you'll have hands-on experience across these three core pillars: 💪
🤖 Dimension 1 — Models
You'll explore and work with a wide variety of AI models:
🔓 Open-Source — freely available models you can run and modify
🔐 Closed-Source — powerful commercial models like GPT and Claude
🎨 Multi-modal — models that understand text, images, and more
🏗️ Architecture — understanding how models are structured under the hood
🎯 Selecting — knowing which model to pick for the right job
🛠️ Dimension 2 — Tools
You'll get hands-on experience with the most popular tools in the AI ecosystem:
🤗 HuggingFace — the go-to hub for open-source models and datasets
🔗 LangChain — framework for building LLM-powered applications
🎛️ Gradio — build beautiful AI demos and interfaces instantly
📊 Weights & Biases — track and visualize your model training
☁️ Modal — run heavy AI workloads in the cloud effortlessly
⚙️ Dimension 3 — Techniques
You'll learn the most powerful and in-demand AI engineering techniques:
🔌 APIs — connecting and communicating with AI models programmatically
🎯 Multi-shot Prompting — guiding models with examples for better results
📚 RAG — supercharging models with your own knowledge base
🎓 Fine-tuning — customizing models for your specific use case
🤝 Agentization — building autonomous AI agents that take actions
🔥 Master all three dimensions and you'll have everything you need to build real-world, production-ready AI applications!