The AI Learning Blueprint
A curated map of free and free-to-audit AI learning resources, systematized into three paths — Practitioner, Builder, and Architect — turning visible destinations into navigable terrain.
Learning Map
The AI Learning Blueprint
Use the presentation as the visual field artifact, then use this page to move from orientation into actionable learning paths.
Access Calibration
Audit vs. certificate: many Coursera and edX courses permit free auditing for knowledge acquisition, while graded assignments and official certificates may sit behind paywalls.
Course vs. material: university repositories like MIT OpenCourseWare and Stanford YouTube playlists provide comprehensive archival access to course materials rather than interactive managed cohorts.
The Practitioner
FocusLiteracy, Productivity, and Ethics.
Technical DepthLow Code / No Code.
Core OutputAccelerated daily workflows.
Objective 1: Foundations & Execution
Understand core mechanics, capabilities, and ethical limitations.
AI for EveryoneDeepLearning.AIBusiness and non-technical learners.
Generative AI for EveryoneDeepLearning.AIGenerative AI concepts, uses, and limitations.
Google AI EssentialsGoogleWorkplace productivity with AI.
Introduction to Generative AIGoogle CloudGenerative AI, LLMs, and responsible AI basics.
Career Essentials in Generative AIMicrosoft + LinkedInCareer-focused generative AI basics.
AI for BeginnersMicrosoftBroad AI curriculum with lessons and labs.
AI for Everyone: Master the BasicsIBM / edXBeginner AI concepts and business use cases.
AI 101MIT OpenCourseWareEssential concepts without the academic complexity.
Understanding the World Through DataMITx OnlineTransforming raw data into predictive business-critical insights.
Artificial Intelligence in K-12 EducationMIT OpenCourseWareUnderstanding AI's impact on learning systems and educational outcomes.
Objective 2: Master Prompting & Drive Productivity
Develop rigorous prompt engineering frameworks for daily interaction.
Introduction to Prompt EngineeringOpenAI AcademyPrompting with OpenAI tools.
Prompt Engineering for ChatGPTVanderbilt University / CourseraPrompt patterns and practical prompting.
Prompt Engineering SpecializationVanderbilt University / CourseraDeeper sequence in prompt engineering.
Generative AI: Prompt Engineering BasicsIBM / CourseraPrompting for work, code, and automation.
Foundations of Prompt EngineeringAWS Skill BuilderPrompting principles and best practices.
Essentials of Prompt EngineeringAWS Skill BuilderPrompting fundamentals.
Claude 101 / Claude Platform 101 / Claude Code 101Anthropic AcademyClaude use, API basics, and coding workflows.
How to AI (Almost) AnythingMIT OpenCourseWareApplying AI beyond traditional business to music, art, and creative projects.
The Builder
FocusIntegration, APIs, and Agentic Systems.
Technical DepthMid Code / Python / Cloud.
Core OutputScalable generative applications.
Stack A: Developer & App-Building
Move beyond standard chat interfaces to prompt-driven application development.
ChatGPT Prompt Engineering for DevelopersDeepLearning.AI + OpenAILLM app prompting for developers.
Generative AI for BeginnersMicrosoftBuilding generative AI applications.
Generative AI Automation SpecializationVanderbilt University / CourseraAutomating complex tasks with generative AI.
Building with Llama 4DeepLearning.AI + MetaBuilding Llama-based applications.
Prompt Engineering with Llama 2 & 3Coursera Project NetworkLlama-specific prompting.
Machine Learning with Python: from Linear Models to Deep LearningMITx / edXCoding working machine learning models from scratch to deployed solutions.
Stack B: RAG & Agentic Workflows
Design and deploy autonomous agent workflows and Retrieval-Augmented Generation systems.
AI Agents for BeginnersMicrosoftAgent concepts and code examples.
Building AI Agents and Agentic Workflows SpecializationIBM / CourseraLangGraph, agentic RAG, and workflow patterns.
Fundamentals of Building AI AgentsIBM / CourseraTool use, chaining, and LangChain agents.
IBM RAG and Agentic AI Professional CertificateIBM / CourseraRAG, multimodal, and agentic AI apps.
Stack C: Cloud AI Infrastructures
Master platform-specific AI deployments across AWS, Google Cloud, and Azure.
Beginner: Introduction to Generative AI Learning PathGoogle Cloud
Introduction to Vertex AI StudioGoogle Cloud
Machine Learning & AI CoursesGoogle Cloud
Azure AI FundamentalsMicrosoft Azure
Introduction to Microsoft's Responsible AI ApproachMicrosoft Azure
Generative AI Learning Plan for Decision MakersAWS Skill Builder
Generative AI Learning Plan for DevelopersAWS Skill Builder
The Architect
FocusCS Theory, ML Mathematics, and Foundation Models.
Technical DepthDeep Code / Algorithms.
Core OutputCustom, fine-tuned intelligent systems.
Left Hemisphere: University-Level CS & ML
Internalize classical CS algorithms, machine learning math, and problem-solving theory.
CS50's Introduction to Artificial Intelligence with PythonHarvard University / edX
Introduction to Algorithms, 6.006MIT OpenCourseWare
Artificial Intelligence, 6.034MIT OpenCourseWare
CS221 – Artificial IntelligenceStanford UniversitySearch, reasoning, planning, and decision-making.
Introduction to Machine Learning, 6.036MIT OpenCourseWare
CS229 – Machine LearningStanford UniversitySupervised/unsupervised learning and core ML algorithms.
CS234 – Reinforcement LearningStanford UniversityQ-learning, policy gradients, and sequential decision making.
Introduction to Deep Learning, 6.S191MIT OpenCourseWare
Deep Learning, 6.7960MIT OpenCourseWare
CS230 – Deep LearningStanford UniversityNeural networks, CNNs, RNNs, and training best practices.
CS231n – Deep Learning for Computer VisionStanford UniversityCNNs, image recognition, and generative models.
CS224U – Natural Language UnderstandingStanford UniversitySemantics, dialogue systems, and language meaning.
Foundation Models and Generative AI, 6.S087MIT OpenCourseWareDecoding the architecture of tools like ChatGPT.
Right Hemisphere: Open-Source AI
Build, fine-tune, and deploy custom foundational models.
Hugging Face LearnHugging FaceComprehensive central catalog.
Diffusion Models CourseHugging FaceDiffusion models and Diffusers.
Transformers CourseHugging FaceTransformers, LLMs, NLP, agents, audio, and computer vision.
OpenAI AcademyFocus: OpenAI learning events, courses, and videos.
Anthropic LearnFocus: Claude prompting, API guidance, and best practices.
NVIDIA Free CoursesFocus: CUDA, deep learning, generative AI, LLMs, and acceleration.
Meta Llama Getting-Started ResourcesFocus: Llama prompting, LangChain, deployment, and open model resources.
Institutional Resource Hubs
OpenAI AcademyOpenAI learning events, courses, and videos.
Anthropic LearnClaude prompting, API guidance, and best practices.
NVIDIA Free CoursesCUDA, deep learning, generative AI, LLMs, and acceleration.
Meta Llama Getting-Started ResourcesLlama prompting, LangChain, deployment, and open model resources.