
AI Python for Beginners
Learn Python programming with AI assistance. Gain skills writing, testing, and debugging code efficiently, and create real-world AI applications.
Grow your AI career with foundational specializations and skill-specific short courses taught by leaders in the field.
Design, build, and deploy apps with an AI coding agent in an integrated web development environment.
Build an event-driven agentic workflow to process documents and fill forms using RAG and human-in-the-loop feedback.
Learn to build, debug, and deploy applications with an Agentic AI-powered integrated development environment.
Learn how to systematically evaluate, improve, and iterate on AI agents using structured assessments.
Learn how an AI Assistant is built to use and accomplish tasks on computers.
Learn to use OpenAI Canvas to write, code, and create more effectively in collaboration with AI.
Build agents that collaborate to solve complex business tasks.
Try out the features of the new Llama 3.2 models to build AI applications with multimodality.
Learn to apply function-calling to expand LLM and agent application capabilities.
Interact with tabular data and SQL databases using natural language, enabling more efficient and accessible data analysis.
Use the AutoGen framework to build multi-agent systems with diverse roles and capabilities for implementing complex AI applications.
Automate business workflows with multi-AI agent systems. Exceed the performance of prompting a single LLM by designing and prompting a team of AI agents through natural language.
Build autonomous agents that intelligently navigate and analyze your data. Learn to develop agentic RAG systems using LlamaIndex, enabling powerful document Q&A and summarization. Gain valuable skills in guiding agent reasoning and debugging.
Use the powerful and extensible LangChain framework, using prompts, parsing, memory, chains, question answering, and agents.