Claude Certified Architect — Prep Arcade
Master the CCA-F exam the fun way: flip-card concepts across all five weighted domains, a scored quiz arcade with instant feedback and streaks, and a searchable glossary.
Agent Building Foundations
Learn to build the smallest agent that reliably creates value — platform-neutral. Play the Agent-or-Not triage that rewards rejecting an unnecessary agent, flip through concept cards across seven competencies, and test yourself in the scenario quiz.
AI Fluency: Framework & Foundations
Practical framework for effective, efficient, ethical, and safe AI interaction, including delegation, description, discernment, and diligence.
Building with Claude API
Hands-on developer path covering API setup, multi-turn conversations, system prompts, evaluations, XML tags/examples, tool use, RAG, prompt caching, MCP, multimodal documents, Claude Code, computer use, and agent systems.
Claude 101
Introductory Claude course for everyday use and core product concepts; suitable as a first-stop user onboarding path.
Claude with Amazon Bedrock
Learn how Claude is used through Amazon Bedrock, including deployment considerations and AWS-native integration patterns.
Claude with Google Cloud Vertex AI
Learn how Claude is used through Google Cloud Vertex AI, including cloud deployment and application integration considerations.
Introduction to agent skills
Learn reusable agent skills for Claude Code so teams can encode repeatable workflows, instructions, and task-specific guidance.
Introduction to Model Context Protocol
Build MCP servers and clients in Python and learn how tools, resources, and prompts let AI applications connect with external systems.
Introduction to subagents
Use and create Claude Code subagents, delegate specialized workflows, manage context, structure outputs, limit tool access, and avoid anti-patterns.
Agentic AI Technical Learning Plan for AWS Partners
Partner learning plan with specialized training on Amazon Bedrock AgentCore, multi-agent orchestration, Strands/LangGraph/CrewAI, MCP/A2A, security, governance, observability, memory, and production-ready agent architecture.
Amazon Bedrock: Getting Started with Generative AI
Introductory course on Amazon Bedrock benefits, features, use cases, how the service works, and technical concepts for building with managed foundation models.
Amazon Q Business: Getting Started
Introductory training for Amazon Q Business as an enterprise generative AI assistant for workplace information and productivity.
Amazon Q: Generative AI-powered Assistant Learning Plan
Role-oriented learning plan for using Amazon Q as a generative AI assistant across business and technical workflows.
AWS AI/ML Training Hub
Curated entry point to AWS AI training across GenAI, agents, ML and certifications (600+ free Skill Builder courses).
AWS Certified AI Practitioner preparation
Preparation pathway for AWS Certified AI Practitioner, covering AI/ML and generative AI concepts, AWS AI services, responsible AI, and business considerations.
Foundations of Prompt Engineering
Comprehensive prompt engineering course covering foundational principles, advanced techniques, best practices, misuse protection, and bias mitigation for foundation models.
Generative AI Learning Plan for Decision Makers
Overview of generative AI, how to approach and plan a generative AI project, and how to build a generative AI-ready organization.
Generative AI Learning Plan for Developers
Curated developer path for generative AI and Amazon Bedrock, including Bedrock Knowledge Bases, Bedrock Agents, and Bedrock Guardrails.
Generative AI Learning Plan for Model Builders
Learning path on building, fine-tuning, and deploying small to large language models using Amazon SageMaker.
Securing Generative AI on AWS
Security best practices for generative AI applications and models on AWS, including threat modeling and controls.
Agent overview and modes
Cursor Agent supports autonomous coding tasks, terminal commands, code edits, codebase search, and mode selection such as Agent, Ask, and Custom modes.
Build and Deploy an App with Cursor
Partner course to build apps by describing desired functionality in Cursor and deploy a task-management app live to Netlify.
Cursor Learn
Official tutorial hub for learning Cursor, including AI coding concepts and product usage patterns.
Cursor: Coding with AI
Partner course with lessons on Cursor features, AI coding best practices, Chat/Composer, agent workflows, and building web applications with Cursor.
Rules for AI
Use project rules, user rules, AGENTS.md, and reusable scoped instructions to control how Cursor’s agent behaves and to encode codebase context, workflows, style, and architecture decisions.
Getting Started with GitHub Copilot
Hands-on GitHub Skills exercise using a preconfigured Codespace to learn how Copilot can explain, write, plan, develop code, and summarize/review pull requests.
GH-300T00-A: GitHub Copilot
One-day course on using GitHub Copilot effectively and responsibly, including productivity practices and mitigation of ethical and operational AI risks.
GitHub Copilot Fundamentals Part 1 of 2
Nine-module path covering Copilot fundamentals, productivity, responsible/secure use, and advanced Copilot functionality for individual and organizational use.
GitHub Copilot Fundamentals Part 2 of 2
Six-module path covering Copilot Agent Mode, Copilot Cloud Agent, GitHub MCP Server, code reviews/pull requests, and using Copilot with JavaScript and Python.
GitHub Learn (catalog hub)
Unified GitHub learning hub: 190+ courses, modules and paths (GitHub + Microsoft Learn + partners) with credentials.
Advanced: Generative AI for Developers
Technical 12-activity path for developers and ML/data practitioners; recommended after the Introduction to Generative AI path.
Beginner: Introduction to Generative AI
Five-activity learning path covering generative AI concepts, LLMs, responsible AI principles, and prompt design on Vertex AI.
Build Generative AI Agents with Vertex AI and Flutter
Build a Flutter app that uses Gemini and Vertex AI Agent Builder / Reasoning Engine to create a generative AI agent experience.
Build intelligent agents with ADK
Hands-on course for building intelligent agents with ADK, including practical agent concepts and integration with tools, APIs, databases, and services.
Build Your First Agent with ADK
Build, configure, and run a first AI agent using Google Agent Development Kit, with Python/YAML and prompt parameters.
Deploy and Manage Generative AI Models
Learning path for lifecycle management of generative AI models, including development, deployment, monitoring, and a Vertex AI training/deployment lab.
Engineer AI Agents with ADK
Intermediate agent engineering course using Google ADK to design and implement more capable agents.
Google AI Essentials
Introductory Google course for using AI tools to boost productivity, generate ideas/content, make informed decisions, and complete everyday tasks.
Google Skills (catalog hub)
Unified Google learning hub: hundreds of AI courses, labs and skill badges; free to Google Cloud customers.
Introduction to Responsible AI
Microlearning on what responsible AI is, why it matters, and Google's 7 AI principles.
Prompt Design in Vertex AI
Skill badge for prompt engineering, image analysis, and multimodal generative techniques within Vertex AI, using Gemini for real-world marketing scenarios.
Responsible AI: Applying AI Principles with Google Cloud
Operationalizing responsible AI: business case, ethical issue-spotting, and a framework to put AI principles into practice.
Build and Deploy a SaaS App with Lovable
Partner course to build a subscription/SaaS app with Lovable, including payments, user accounts, dashboard, and deployment.
Build your first app / From prompt to product in one hour
Hands-on learning path to build and ship a feature request board to a live URL, covering planning, UI skeleton, forms, voting, real data, authentication, permissions, admin AI, polish, and deployment.
Intro to AI Programming with Lovable
Build a To-Do list app from plain language, inspect generated code, use Agent mode for project-wide edits, and deploy the application live on the web.
Learn to prompt
Guide to prompt patterns and principles that improve results when using Lovable to build applications from natural language.
What can you build? personas and templates
Use-case and template exploration for founders, marketers, engineers, designers, educators, students, and other personas to identify viable AI-built apps.
AI-103T00-A: Develop AI apps and agents on Azure
Four-day technical course for building AI-infused applications with Microsoft Foundry, including generative AI apps, AI agents, knowledge connections/tools, multimodal capabilities, and complex content.
AI-901T00-A: Introduction to AI in Azure
Introduces fundamental AI concepts and Azure services used to create AI solutions; includes a mix of AI concepts and foundational technical skills.
Embrace responsible AI principles and practices
Microsoft's responsible-AI principles (fairness, reliability, privacy, inclusiveness, transparency, accountability) and how to apply them.
Get started with AI applications and agents on Azure
Six-module learning path for AI workloads in Microsoft Foundry, including generative AI and agents, text analysis, speech, computer vision, and information extraction.
Introduction to declarative agents for Microsoft 365 Copilot
Evaluate when declarative agents are appropriate for extending Microsoft 365 Copilot; understand custom knowledge, custom actions, and components.
Operationalize generative AI applications (GenAIOps)
Six-module path covering the GenAIOps lifecycle: planning, prompt/version management, agent evaluation/optimization, automated evaluations with Microsoft Foundry and GitHub Actions, monitoring performance/costs, and distributed tracing.
Scale how you work by creating AI agents
No-code module for creating AI agents in Microsoft 365 Copilot Chat to increase productivity and extend impact.
Understand the foundations of generative AI for business leaders
Business-oriented overview of generative AI concepts, Microsoft Copilot/Azure AI/agents, business value, model selection, cost drivers, reliability, bias, and strategic alignment.
Agents and Workflows
Practice directing agents through structured work: provide context, define outputs, set boundaries, review drafts, refine workflows, and reuse what works.
AI Foundations
Basics of AI, large language models, and ChatGPT; practice clear instructions, useful context, output review, and responsible everyday use.
Applied AI Foundations
Turn recurring tasks into repeatable AI-supported workflows; break work into steps, identify where ChatGPT can help, and insert review points.
OpenAI Platform Docs & Developer Quickstart
Official build-with-the-API reference: Responses API, function calling/tool use, embeddings, fine-tuning, production guidance.
Combined OCI Generative AI Professional path
Combined path that includes OCI AI Foundations plus OCI Generative AI Professional content to prepare learners across foundations and GenAI implementation.
OCI Data Science Professional learning path
Technical learning path for OCI Data Science, model development, and related data/ML engineering capabilities.
OCI Generative AI service documentation
Reference documentation for OCI Generative AI as an enterprise AI platform for building, deploying, and governing AI at scale, including models, agents, vector stores, connectors, memory, guardrails, observability, and auditability.
Oracle AI Vector Search Professional
Vector search path covering vector datatypes, embeddings, exact/approximate similarity search, HNSW/IVF indexes, RAG apps using PL/SQL/Python, Exadata/GG/data loading, and natural language querying with Select AI.
Agentforce Basics: Understanding Generative AI and the Agent Landscape (AFS201J)
Instructor-led Trailhead Academy course for understanding generative AI and the agent landscape in the context of Salesforce Agentforce.
Agentforce Observability (AGT505)
Short Trailhead Academy course for monitoring Agentforce performance, reviewing interaction data, and identifying optimization opportunities.
Agentforce Service Specialist (AFS401)
Instructor-led course for building and optimizing service agents with Agentforce, focused on service use cases and production-quality customer support workflows.
Build an AI Agent with Agentforce
Hands-on Trailhead path to set up and test a conversational AI agent in Salesforce using Agentforce and agent actions.
Design and Implement AI Agents with Agentforce
Advanced Trailhead trail to plan, build, test, deploy, and monitor agents; covers grounding data, data library basics, Prompt Builder, Flow/Apex, testing tools, audit and feedback in Data Cloud.
Get Ready for Agentforce
Trailhead trail covering generative AI basics, Agentforce key components, Agentforce for Service, AI strategy, and AI + Data project planning.
Get Started with Prompts and Prompt Builder
Trailhead trail on prompt fundamentals and Salesforce Prompt Builder, including quick look and basics modules.