Popular AI Trainings
The best vendor AI trainings, searchable across vendors by capability
Claude certification study guides
Blueprint-aligned preparation for 3 Anthropic Claude exams — Developer and Architect Foundations and Architect Professional — plus the Partner Network eligibility rule the exam guides leave out.
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 & Agentic Delivery Foundations
One vendor-neutral method for functional teams to take AI from “this could help” to production: the seven-rung solution ladder, five gating questions, weighted value and complexity scoring, workflow deconstruction, decision rights and autonomy tiers. Free and open — read it as a book, listen to it in two parts, and score a real longlist in the lab.
AI Capabilities and Limitations
How AI works, including its capabilities and limitations.
AI Fluency for Builders
Applies the AI Fluency framework for builders creating with AI.
AI Fluency: Framework & Foundations
Practical framework for effective, efficient, ethical, and safe AI interaction, including delegation, description, discernment, and diligence.
Building with the 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 Certified Architect: Foundations
Foundational architecture knowledge across Claude Code, the Claude Agent SDK, the Claude API and the Model Context Protocol. Proctored exam delivered with Pearson; open to members of the Claude Partner Network. Koko Knows carries a domain-by-domain study surface for this exam at /trainings/claude-architect.
Claude Certified Architect: Professional
The advanced credential: integration architecture, governance and evaluation at enterprise scale. Proctored exam delivered with Pearson; open to members of the Claude Partner Network.
Claude Certified Associate: Foundations
Validates practical, everyday use of Claude across business and technical roles. Proctored exam delivered with Pearson; open to members of the Claude Partner Network.
Claude Certified Developer: Foundations
For engineers building on Claude: the Claude API, tool use and agent development. Proctored exam delivered with Pearson; open to members of the Claude Partner Network.
Claude Code 101
Introduces Claude Code and using it effectively in a daily development workflow.
Claude Code in Action
Running long, trustworthy, less-supervised Claude Code sessions across a team.
Claude on Google Cloud
Learn how Claude is used through Google Cloud Vertex AI, including cloud deployment and application integration considerations.
Claude Platform 101
Foundational course for developers building on the Claude Platform from the basics.
Claude with Amazon Bedrock
Learn how Claude is used through Amazon Bedrock, including deployment considerations and AWS-native integration patterns.
Introduction to Agent Skills
Learn reusable agent skills for Claude Code so teams can encode repeatable workflows, instructions, and task-specific guidance.
Introduction to Claude Cowork
Working alongside Claude directly on your real files and projects with Claude Cowork.
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.
Model Context Protocol: Advanced Topics
Advanced MCP implementation patterns building on the introductory MCP course.
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 AgentCore: Getting Started
Building, deploying and operating production AI agents with Amazon Bedrock AgentCore (Runtime, Gateway, Memory, Identity, Observability).
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 Developer: Getting Started
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.
AWS Certified Generative AI Developer – Professional (AIP-C01)
Professional cert for designing/deploying production GenAI solutions on AWS (Bedrock, AgentCore, RAG, agents, guardrails).
AWS Certified Machine Learning Engineer – Associate (MLA-C01)
Associate cert validating building, operationalizing, deploying and maintaining ML solutions and pipelines on AWS.
AWS Generative AI Developer Advanced Learning Plan (includes labs)
Advanced, lab-driven plan on building production GenAI solutions on AWS; prep for AIP-C01.
AWS SimuLearn: Generative AI Practitioner
GenAI-powered customer simulations that build practical GenAI skills in a risk-free environment.
Building Generative AI Applications Using Amazon Bedrock
Architecture patterns for GenAI apps (generation, summarization, Q&A, chatbots, RAG) via Bedrock API, SDKs and LangChain.
Building Safe and Responsible Generative AI Applications with Amazon Bedrock Guardrails
Configuring Amazon Bedrock Guardrails — content/word filters, denied topics, PII redaction, prompt-attack detection, contextual grounding.
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 for Executives
Short video series on how generative AI addresses business challenges and drives growth.
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 Agent — Plan Mode
Official guide to Plan Mode — the agent researches the codebase and produces a reviewable plan before executing changes.
Cursor AI for Beginners
Partner beginner course covering prompt engineering, context engineering, code review, full-stack development workflows, and using Cursor effectively.
Cursor Learn
Official tutorial hub for learning Cursor, including AI coding concepts and product usage patterns.
Cursor Quickstart (Getting Started)
Official onboarding to install Cursor and use the AI agent to understand a codebase, make first edits, review changes, and use Plan Mode.
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
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.
About agent skills
Learn how Copilot agent skills enable specialized tasks through reusable instructions, scripts, and resources available to Copilot cloud agent, code review, CLI, app, and agent mode.
Agent Orchestration: Build Your AI Dream Team
Use custom agents in GitHub Copilot CLI so an Orchestrator delegates to specialist agents to plan, build and validate an app.
Build Applications with GitHub Copilot Agent Mode
Use Copilot agent mode to build a complete multi-tier application from natural-language requirements.
Customize Your GitHub Copilot Experience
Configure custom instructions, prompt files, agent skills and custom agents so Copilot matches your repo conventions.
Expand Your Team with Copilot (cloud coding agent)
Enable Copilot's cloud coding agent, assign it issues, review its PRs and manage parallel tasks with no local setup.
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 Certification preparation and exam
Preparation for Copilot certification covering responsible use, feature plans, data handling/architecture, prompt engineering and context crafting, developer productivity, privacy, content exclusions, and safeguards.
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.
Integrate MCP with GitHub Copilot
Set up a GitHub MCP server and use it with Copilot agent mode to manage issues and build a site.
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 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.
Develop Agents with Agent Development Kit (ADK)
Official ADK path (Gemini Enterprise Agent Ready) — agents that plan, reason and execute; setup, agent logic, tools/memory, MCP.
Engineer AI Agents with ADK
Intermediate agent engineering course using Google ADK to design and implement more capable agents.
Generative AI Leader Certification
Google's flagship foundational GenAI certification for business-level knowledge and leading gen AI transformation.
Google AI Essentials
Introductory Google course for using AI tools to boost productivity, generate ideas/content, make informed decisions, and complete everyday tasks.
Google Prompting Essentials
Practical prompt-writing techniques for better results from generative AI across everyday work; taught by Google AI experts.
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.
Lovable Documentation — Quick Start
Official step-by-step docs from first prompt to a published live URL in ~10 minutes.
Lovable Video Tutorials — Official Video Library
Official curated video library incl. the multi-part 'FULL FREE Lovable Dev Course' — app building, Supabase, Stripe, Figma-to-app, deployment.
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.
Agent in a Day - Online Workshop
Hands-on build of a declarative agent in M365 Copilot Chat and a custom-engine agent in Copilot Studio.
AI Fluency: Get started with Microsoft Copilot
Microsoft Copilot functions and benefits, setup, GPT-model fundamentals, and prompting strategies.
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.
Applied Skills: Get started developing agents in Microsoft Foundry
Scenario-based lab credential: deploy a model, create an agent, and test it in Microsoft Foundry.
Azure AI Apps and Agents Developer Associate (AI-103)
Plan, build and deploy generative-AI and agentic solutions on Azure with Python and Microsoft Foundry.
Azure AI Fundamentals (AI-901)
Conceptual understanding of AI workloads, ML, computer vision, NLP and generative AI on Microsoft Foundry / Azure.
Create agents in Microsoft Copilot Studio
Build, ground and publish custom low-code agents in Microsoft Copilot Studio (topics, entities, knowledge, generative orchestration).
Develop generative AI apps on Microsoft Foundry (AI-3016)
Build generative-AI chat apps on Microsoft Foundry — model selection/deploy/eval, Foundry SDK, tool use, prompt engineering, RAG, responsible AI.
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 Academy — Builders (developer hub)
OpenAI's official builder community with structured tracks and live bootcamps on agents, RAG, fine-tuning, evals, Codex and production.
OpenAI Codex Bootcamp (Codex 101 → 301)
Live tiered (101/201/301) series on setting up and using Codex, OpenAI's agentic coding teammate, for real repository workflows.
OpenAI Cookbook
Official hands-on recipes and code examples for building with OpenAI models — agents, RAG, fine-tuning, realtime, evaluation.
OpenAI Platform Docs & Developer Quickstart
Official build-with-the-API reference: Responses API, function calling/tool use, embeddings, fine-tuning, production guidance.
Prompt engineering (Platform API guide)
Official API docs on effective prompting — message roles, few-shot, formatting, RAG, and GPT-5/reasoning-model best practices.
Prompting fundamentals
Simple guidance for writing better prompts: outline the task, add context, specify ideal output, split large tasks, and iterate.
Using ChatGPT learning hub
Modular guidance covering getting started, prompting, personalization, files, search/deep research, image creation, projects, custom GPTs, skills, and workspace agents.
Using skills in ChatGPT
Create reusable, shareable workflows with instructions and supporting resources so repeatable tasks can be executed more consistently.
AI Foundation for Oracle Cloud Applications
Plain-language intro to the AI and generative-AI capabilities across Oracle Cloud (Fusion) Applications.
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 AI Foundations Associate learning path
Foundational path for AI, machine learning, deep learning, and generative AI concepts with a focus on practical use in Oracle Cloud Infrastructure.
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 Agentic AI Foundations (2026)
Building agents with LangChain, MCP, OpenAI Agents SDK, the OCI Enterprise AI platform, and Oracle AI Vector Search; leads to a free associate cert.
Oracle AI Agent Studio for Fusion Applications Foundations Associate
Evaluate, configure, customize, test and deploy Fusion-native AI agents with Oracle AI Agent Studio across ERP/HCM/SCM/CX.
Oracle AI in Enterprise Performance Management (EPM)
AI/generative-AI capabilities in Oracle Cloud EPM (planning, close, narrative reporting) and how finance teams apply them.
Oracle AI in Fusion Cloud ERP
AI and generative-AI features embedded in Oracle Fusion Cloud ERP and how to apply them across finance processes.
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.
Agentblazer Status (Agentforce skills hub)
Canonical landing hub for the Agentblazer program, routing learners into the Champion/Innovator/Legend tiers.
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.
Artificial Intelligence Fundamentals
Vendor-neutral grounding in AI/ML concepts, model types, and responsible use.
Become an Agentblazer Champion 2026
Entry tier of the 2026 Agentblazer program — AI/GenAI/LLM/prompt fundamentals + building a basic Agentforce agent.
Become an Agentblazer Innovator 2026
Middle tier of the 2026 Agentblazer program — define AI objectives, then customize and deploy trusted Agentforce agents.
Become an Agentblazer Legend 2026
Top tier of the 2026 Agentblazer program — customize/manage next-level agents with prompts, Data 360, Slack and Agentforce dev tools.
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.
Data 360-Powered Agentforce
Ground Agentforce agents in trusted enterprise data using Data 360 (formerly Data Cloud).
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.
Drive Productivity with Salesforce AI / Prompt Builder section
Trailhead content for creating generative AI experiences in Salesforce using Prompt Builder and related Salesforce AI productivity features.
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.
Salesforce Certified Agentforce Specialist
Flagship active Salesforce AI credential — design, configure, ground and optimize Agentforce agents and prompt templates.
Connect to your AI assistant
Add Koko Knows as an MCP connector in ChatGPT or Claude so your assistant can read the Daily Pulse, podcasts, and headlines directly.
Outside-In Diagnostic
Enter a ticker for an outside-in read of a public company's working capital, cost efficiency and growth against peers, built from SEC filings and earnings calls, with an executive synthesis.
Ask KokoAI about AI training paths
Cited answers across news, vendors & capabilities.