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Combine API mastery with advanced MCP for building reliable, observable, production-grade Claude systems. The definitive course on building enterprise Claude applications with robust error handling, advanced tool use, and production observability.
Master the 4D Framework — Delegation, Description, Discernment, and Diligence — for ethical and effective AI collaboration. Build a strong mental model for working with AI tools across any role or industry.
Production GenAI engineering — LLMs, RAG, LangChain, PyTorch, fine-tuning, and capstone deployment. The complete IBM professional certification for AI engineers. Master training, fine-tuning, and deploying large language models at production scale.
NLP deep dive — tokenization, transformers, BERT, GPT, attention mechanisms, and model evaluation. Advance your ML career with Gen AI and LLMs. Develop skills with Hugging Face transformers library, PyTorch deep learning library, RAG and LangChain framework. Explore tokenization, data loaders, language and embedding models, transformer techniques.
Pair-program with LLMs — prompt engineering, testing, debugging, and documentation for developers. Learn from Laurence Moroney, former AI lead at Google, through a comprehensive pathway to understand and apply generative AI technologies in real-world software development. Speed up prototyping, testing, and shipping production-ready code.
Quick-start video on designing clear prompts and structuring inputs for better ChatGPT results. Learn the fundamentals of prompt design that apply across any large language model.
Foundational AI concepts, prompt engineering best practices, and real-world business applications with IBM tools. Practice with hands-on labs using IBM watsonx.ai, OpenAI ChatGPT, Stable Diffusion, and Hugging Face. Learn about GPT, DALL-E, foundation models, and how to develop AI applications using pre-trained models.
Advanced prompt patterns, automation strategies, and complex prompt-based application development. Taught by Dr. Jules White from Vanderbilt University. 4.8-star rating with 8.9K reviews. Master prompt engineering techniques including persona patterns, template patterns, and meta-language patterns.
Build MCP clients and servers, real-time agent communication, LangGraph integration, and security patterns. Covers MCP architecture — Hosts, Clients, and Servers. Designed for software developers proficient in Python. Not for beginners — assumes software engineering background.
LangChain, LangGraph, agentic orchestration, tool calling, security patterns, and responsible AI governance. IBM's professional certification for building enterprise AI agent systems. Build agentic AI systems with memory, iteration, and conditional logic. Design self-improving agents using Reflection, Reflexion, and ReAct architectures.
Integrate Claude Code into your dev workflow — memory, slash commands, hooks, and MCP servers. Hands-on course focused on practical Claude Code implementation with certification upon completion.
Learn Claude's core features for everyday work tasks with hands-on practice and resources. From writing assistance to analysis, discover how to make Claude a productive part of your daily workflow.
Build MCP servers and clients from scratch in Python. Master tools, resources, and prompts primitives that connect AI models to real-world data and capabilities.
Explore generative AI capabilities, use cases across industries, and common tools for text, code, and image generation. Learn fundamentals and evolution of generative AI with hands-on labs using IBM Generative AI Classroom and ChatGPT. Discover applications in IT, finance, healthcare, education, entertainment, and HR.
Hands-on deep dive into Claude Code — sub-agents, hooks, slash commands, and multi-agent workflows. Master Claude Code from setup to advanced workflows with 8 sections and 26 lectures. Designed to get you productive with Claude Code in a single intensive day.
Full-spectrum API course — from basic completions to tool use, streaming, and production deployment. Build real applications powered by Claude from the ground up. Comprehensive guide covering messages, system prompts, multi-turn conversations, and advanced features.
Understand LLMs, transformer models, and responsible AI principles for professional application. Google Cloud's comprehensive path covering foundations of large language models, diverse applications, and ethical considerations for responsible AI development and deployment. Features interactive quizzes with immediate feedback.
ML at scale — Apache Spark, deep learning with Keras/TensorFlow/PyTorch, and big data pipelines. Get job-ready as an AI engineer. Deploy ML algorithms and pipelines on Apache Spark. Build, train, and deploy deep architectures including CNNs, RNNs, autoencoders, and generative AI models including LLMs.
Deep dive into LLM architectures, NLP with PyTorch, transformers, RAG pipelines, and production AI apps. Master Gen AI engineering and large language models including GPT, LLaMA, and BERT. Build apps using Hugging Face transformers, PyTorch, RAG and LangChain framework. Complete a capstone project developing a question-answering bot.
End-to-end AI automation — n8n workflows, RAG agents, function calling, and deployable business agents. Covers essential and advanced concepts in automation using AI, LLMs, vector databases, and Retrieval-Augmented Generation. Includes 29 downloadable JSON workflows to accelerate learning and implementation.
Advanced AI-assisted development — design patterns, database architecture, and system optimization with LLMs. Three self-paced courses covering generative AI basics, prompt engineering approaches with IBM Watsonx, and identifying AI programming risks and ethics issues with mitigation strategies.
Build, configure, and share Claude Code Skills — reusable markdown instructions for automated task execution. Create a library of skills that encode your team's expertise for consistent AI-assisted workflows.
Build a full-stack app from scratch with Claude Code — prototyping, testing, CI, and production deployment. Taught by Frank Kane, former senior engineer at Amazon. Build a complete online radio station web app using AI-assisted "vibe coding" from prototype to production. Covers unit tests, security scans, and continuous integration.
Go deeper with iterative refinement, multi-step reasoning, and structured output techniques. Learn to chain prompts, use few-shot examples, and extract structured data from AI models.
Multi-agent systems, orchestration, governance, logging, and capstone project for production AI agents. Advanced, hands-on builder's program — design complete agent architectures from trigger to orchestration, tool execution, guardrails, logging, reporting, and cost tracking. Implement structured multi-agent collaboration with planner, executor, tester, validator, and refactorer roles.
Full-stack agent engineering — CrewAI, LangGraph, AutoGen, MCP, memory systems, and enterprise deployment. Intensive 6-week program covering multiple frameworks including OpenAI Agents SDK. Build 8 real-world projects including a Stock Picker Agent with CrewAI and a 4-Agent Engineering Team deployed in Docker.
MCP tools, sub-agents, skills, and structured workflows — become a true AI-augmented developer. Build an AI coding partner that never gets tired using Claude Code and Agentic AI. Learn to integrate with real-world systems like APIs, Playwright, and GitHub. Manage context and memory for consistent project understanding.
Advanced MCP — sampling, notifications, file system access, and transport mechanisms for production servers. Deep dive into the protocol's advanced capabilities for building production-grade MCP infrastructure.
Transform how you solve problems. Learn the human-centered design process used by Apple, Google, and IDEO to create breakthrough products and services. Move from abstract ideas to tangible prototypes in days, not months.
Dive deep into the technology powering modern AI. Build neural networks from scratch, understand backpropagation, and implement deep learning models that can recognize images, understand language, and make predictions.
Demystify artificial intelligence in just 7 hours. No coding required — understand what AI can (and can't) do, how to spot AI opportunities in your organization, and navigate the ethical implications that every leader needs to understand.
Transform raw data into actionable insights using the world's most widely used analytics tool. From basic formulas to pivot tables, learn the Excel skills that employers demand — no prior experience required.
Unlock the secrets of effective learning used by experts across every discipline. Discover how your brain forms memories, why procrastination happens (and how to beat it), and science-backed techniques that will transform how you absorb new information forever.
Yale's most popular course ever, now available to everyone. Professor Laurie Santos reveals what psychological research actually says about happiness — why our brains mislead us, and the surprisingly simple practices that genuinely increase well-being.
A Nobel laureate's masterclass on how financial markets shape our world. From behavioral finance to investment banking, understand the institutions and ideas that power the global economy — and learn to think like a financially savvy leader.
Launch your IT career with this comprehensive introduction from Google. Learn how computers work from the ground up — hardware, software, networking, and troubleshooting — with hands-on labs and real-world scenarios.
Your gateway into the world of programming. No experience needed — start from zero and build real programs in Python, one of the most in-demand languages in tech. By the end, you'll think like a programmer and have the skills to build useful tools.
Master the fundamentals of machine learning with hands-on Python projects. Build predictive models using linear regression and classification algorithms, learn feature engineering, and understand the math behind the magic. Taught by the world's leading AI educator.
