DeepLearning.AI
Agentic AI
In this course taught by Andrew Ng, you'll build agentic AI systems that take action through iterative, multi-step workflows.
- DeepLearning.AI
- 10 hours
- Self-paced
- Free videos
- Paid certificate
- Intermediate
Platform
Free videos. Labs, quizzes and certificates need a paid Pro membership.
39 coursesdeeplearning.ai
DeepLearning.AI
In this course taught by Andrew Ng, you'll build agentic AI systems that take action through iterative, multi-step workflows.
DeepLearning.AI
If you've never written code before, this course is for you. In less than 30 minutes, you'll learn to describe an idea in words and let AI transform it into an app for you.
DeepLearning.AI
Build reliable LLM applications with structured outputs and validated data using Pydantic.
DeepLearning.AI
Gain fundamental understanding and the practical knowledge to develop production-ready RAG applications, from architecture to deployment and evaluation.
DeepLearning.AI
Become an AI power user in this new course taught by Andrew Ng. From finding information to building apps, you'll develop the prompting skills that get real, useful results from today's most powerful AI models.
Anthropic
Build AI apps that access tools, data, and prompts using the Model Context Protocol.
OpenAI
Learn the fundamentals of prompt engineering for ChatGPT. Learn effective prompting, and how to use LLMs for summarizing, inferring, transforming, and expanding.
Anthropic
Explore, build, and refine codebases with Claude Code.
Anthropic
Learn how an AI Assistant is built to use and accomplish tasks on computers.
Google
Build AI agents that generate images and videos, evaluate output automatically, and iterate until results meet your quality standards
Google
Build and train a 20M-parameter LLM from scratch using JAX, the open-source library behind Google's Gemini, and learn the core techniques powering modern AI development.
OpenAI
Learn to use OpenAI Canvas to write, code, and create more effectively in collaboration with AI.
AWS
Understand the generative AI lifecycle. Describe transformer architecture powering LLMs. Apply training/tuning/inference methods. Hear from researchers on generative AI challenges/opportunities.
Meta
Try out the features of the new Llama 3.2 models to build AI applications with multimodality.
Meta
Build multimodal and long-context GenAI applications using Llama 4 open models, API, and Llama tools.
Databricks
Build, debug, and optimize AI agents using DSPy and MLflow.
Red Hat
Optimize, deploy, and benchmark an open-source LLM with vLLM.
JetBrains
Move beyond vibe coding: write clear specs that give your coding agent the context it needs to build intentional, maintainable software.
SAP
Construct a knowledge graph and use it to enable your AI agent to find and call the right APIs in the right order.