Since ChatGPT launched, I've taken every AI course I could find.
Udemy. Coursera. Google. YouTube tutorials. Paid bootcamps.
Most of them were too slow, too theoretical, or already outdated by the time I finished.
So I built my own roadmap.
15 weeks. The best free resources available. Week by week.
Save this. You'll come back to it.
THE 15-WEEK ROADMAP
The plan splits into two parts.
Part 1 covers ChatGPT (Weeks 1–6). Part 2 covers the broader AI stack (Weeks 7–15).
PART 1: MASTER CHATGPT (WEEKS 1–6)
Week 1 — The Very Basics of ChatGPT
OpenAI has a free academy. Perfect if you're completely new.
→ First ChatGPT Steps — start your first conversation, understand the models, explore use cases academy.openai.com/public/clubs/work-users-ynjqu/resources/chatgpt-basics
→ Basic Prompts — ChatGPT prompts for any work role academy.openai.com/public/clubs/work-users-ynjqu/resources/chatgpt-for-any-role
→ How to Write a Prompt — simple steps and extra tips academy.openai.com/public/clubs/work-users-ynjqu/resources/prompting
→ Setup ChatGPT — how to stop getting generic responses help.openai.com/en/articles/8096356-chatgpt-custom-instructions
Weeks 2–3 — How to Write Good Prompts
The difference between a useful AI and a useless one is the prompt. These three guides cover everything.
→ Prompt Principles — top 10 principles and when to use each one help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api
→ Prompt Formula — a repeatable recipe for writing better prompts www.promptingguide.ai/introduction/basics
→ Prompt Engineering — four core techniques www.promptingguide.ai/techniques
Weeks 4–5 — ChatGPT Features
Most people use 10% of what ChatGPT can do. These cover the rest.
Basic features worth knowing:
→ Voice Mode — talk to ChatGPT instead of typing help.openai.com/en/articles/8400625-voice-mode-faq
→ Web Search — a real alternative to Googling things openai.com/index/introducing-chatgpt-search
→ Image Generation + Projects — create images and organize your chats help.openai.com/en/articles/9260256-chatgpt-capabilities-overview
→ Study Mode — use AI to actually learn instead of just getting answers wondertools.substack.com/p/turn-ai-into-your-personal-tutor
The advanced features worth spending time on:
→ Deep Research — ChatGPT searches dozens of sites autonomously and writes a report for you openai.com/index/introducing-deep-research
→ ChatGPT Agent — clicks buttons, fills forms, navigates websites on your behalf help.openai.com/en/articles/11752874-chatgpt-agent
→ Atlas — a serious alternative to Chrome openai.com/index/introducing-chatgpt-atlas
→ Codex — the only coding application you need to use https://openai.com/codex
Week 6 — GPT-5.5
GPT-5.5 changed what's possible. These cover the new modes and how to prompt it properly.
→ GPT-5.5 Modes — when to use auto, instant, thinking, and pro mode https://openai.com/index/introducing-gpt-5
→ GPT-5.5 Prompting — basic and advanced techniques specific to GPT-5.5 https://developers.openai.com/cookbook/examples/gpt-5/gpt-5_prompting_guide
→ Optimize Your Prompts With GPT-5.5 — how to use the model to improve your own prompts https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api
PART 2: MASTER AI (WEEKS 7–15)
Once you know ChatGPT, the next step is AI literacy — knowing enough to use every tool smartly, understand the risks, and know when NOT to rely on AI.
AI Literacy (Weeks 7–10)
Pick one course from each category below. You don't need all of them — one solid foundation is enough.
For professionals (non-technical):
→ IBM AI for Everyone: Master the Basics — covers AI applications and key concepts, free certificate edx.org/learn/artificial-intelligence/ibm-ai-for-everyone-master-the-basics
→ Google Generative AI Course — what generative AI is, how it's used, how it differs from traditional ML skills.google/course_templates/536
→ AI & Career Empowerment — AI in business + career strategy in the age of AI, free certificate rhsmith.umd.edu/programs/executive-education/learning-opportunities-individuals/free-online-certificate-artificial-intelligence-and-career-empowerment
→ HP's AI for Business Professionals — beginner-friendly, free certificate life-global.org/course/423-ai-for-business-professionals
→ Google's Generative AI Leader — gen AI fundamentals, Google Cloud offerings, business strategy cloud.google.com/learn/certification/generative-ai-leader
→ Google Prompting Essentials Specialization — how to write effective prompts, from Google experts coursera.org/specializations/prompting-essentials-google
For professionals (guides, not courses):
→ Best AI Books — curated reading for leaders and executives www.deeplearning.ai/resources/
→ AI as a Thinking Partner — the one AI skill that never becomes obsolete www.anthropic.com/learn/build-with-claude/prompt-engineering/overview
→ LLM Data Privacy Ranking — which AI platforms protect your data (and which don't) blog.incogni.com/ai-llm-privacy-ranking-2025
→ AI Fluency — how to collaborate with AI effectively, ethically, safely anthropic.skilljar.com/ai-fluency-framework-foundations
→ Perplexity at Work — a practical guide to working smarter with AI r2cdn.perplexity.ai/pdf/pplx-at-work.pdf
For technical people:
→ IBM AI Fundamentals — NLP, computer vision, machine learning, deep learning, free certificate skillsbuild.org/adult-learners/explore-learning/artificial-intelligence
→ How AI Works — Anthropic's research on how language models actually think transformer-circuits.pub/2025/attribution-graphs/biology.html
→ How ChatGPT Works — explanation based on OpenAI's own paper writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/
This is a starting point. AI literacy is ongoing — not a destination.
Weeks 11–12 — Learn Claude
Only one tool has earned a permanent place in my workflow alongside ChatGPT. Not as a replacement. As a complement.
Claude thinks differently. Longer context, better reasoning on complex documents, coding, agents, and workflows.
Start with the basics, then move into Claude Code, memory, agents, automation, and real-world workflows.
Foundation (Start Here):
→ Claude Basics — artifacts, projects, skills, and how Claude works for real workflows https://anthropic.com/learn/claude-for-work
→ Prompt Engineering (Official) — Anthropic’s official prompting guide https://docs.claude.com/en/docs/build-with-claude/prompt-engineering/overview
→ Interactive Prompt Tutorial — hands-on prompt engineering practice https://github.com/anthropics/prompt-eng-interactive-tutorial
Claude Code (The Real Unlock):
→ Claude Code 101 — beginner walkthrough of Claude Code https://anthropic.skilljar.com/claude-code-101
→ Claude Code in Action — real examples and workflows https://anthropic.skilljar.com/claude-code-in-action
→ Claude Code Full Docs — official documentation https://code.claude.com/docs/en/overview
→ CLAUDE.md — how to give Claude memory, instructions, and project context https://code.claude.com/docs/en/claude-md
→ Skills — teach Claude reusable workflows and systems https://code.claude.com/docs/en/skills
→ MCP — connect Claude to Slack, GitHub, Drive, and external tools https://code.claude.com/docs/en/mcp
→ Routines — automate recurring workflows 24/7 https://code.claude.com/docs/en/routines
Advanced / Builders:
→ Agent Architecture — how modern AI agents are actually designed https://langchain.com/blog?category_equal=%5B%22Agent+Architecture%22%5D
→ Claude Code Ultimate Guide — community deep dive for serious users https://github.com/FlorianBruniaux/claude-code-ultimate-guide
→ Awesome Claude Code — curated tools, hooks, plugins, and workflows https://github.com/hesreallyhim/awesome-claude-code
Free Anthropic Academy:
→ All Anthropic Academy Courses — free courses + certificates https://anthropic.skilljar.com
Weeks 13–14 — Learn Gemini
Gemini stands out for the tools it powers — features that ChatGPT and Claude don't match yet, especially inside Google's ecosystem.
→ Gemini 3 — what you can actually do with the new Gemini blog.google/products-and-platforms/products/gemini/gemini-3/
→ Gemini Prompting Guide — quick-start handbook for writing effective Gemini prompts services.google.com/fh/files/misc/gemini-for-google-workspace-prompting-guide-101.pdf
→ NotebookLM Guide — a research tool grounded in your own documents, hallucinates less than anything else support.google.com/notebooklm/?hl=en
Week 15 and Beyond — Your Field
From here the roadmap splits based on what you do. Pick what applies.
AI Images, Videos, and Visuals:
→ Nano Banana Pro Guide — Google's AI image generator ai.google.dev/gemini-api/docs/image-generation
→ Sora 2 Guide / Veo 3 Guide — create AI videos with OpenAI or Google developers.openai.com/cookbook/examples/sora/sora2_prompting_guide / docs.cloud.google.com/vertex-ai/generative-ai/docs/video/video-gen-prompt-guide
→ How to Create Professional Visuals With AI — infographics, diagrams, presentation assets cloud.google.com/blog/products/ai-machine-learning/ultimate-prompting-guide-for-nano-banana
The Tech Behind AI (for curious non-technical people):
→ Machine Learning Algorithms — Part 1: www.ibm.com/think/topics/machine-learning-algorithms
→ Machine Learning Algorithms — Part 2: www.geeksforgeeks.org/machine-learning/machine-learning-algorithms/
→ What Is a Database: www.cloudflare.com/learning/serverless/glossary/what-is-a-database/
→ Vector Databases: www.pinecone.io/learn/vector-database/
→ What Is NLP: www.ibm.com/think/topics/natural-language-processing
→ Linear Regression in Python: www.geeksforgeeks.org/machine-learning/ml-linear-regression/
→ Build Your First ML Model: developers.google.com/machine-learning/crash-course
Programming and Data Analysis:
→ How to Learn Python With AI — the fastest path if you're starting from scratch www.coursera.org/articles/python-ai
→ Vibe Coding for Beginners — how to build without knowing how to code www.ibm.com/think/topics/vibe-coding
→ How to Use AI With Excel — from generating functions to complete reports support.microsoft.com/en-us/office/copilot-in-excel-help-learn-more-about-your-data-with-copilot-in-excel-7fc88a2d-3d24-4d68-8f4a-85f753af8db3
WHEN TO PAY FOR AI EDUCATION (AND WHEN NOT TO)
Here's the honest answer after spending years learning AI.
95% of what you want to learn is available for free.
The real problem isn't access. It's time — finding resources that are actually good takes hours of searching.
The remaining 5% is either too new or too specialized to exist in free form yet.
So the decision is simple:
→ No budget: use the free resources above. It just takes longer to find the good ones.
→ Need proof: pay for a certificate from Google, IBM, or Coursera.
→ Want to move faster: get access to a structured course and a community where you can ask questions.
The Artificial Corner community has hundreds of members going through exactly this path — with access to in-depth video courses, step-by-step guides, and copy-paste prompts for every tool above.
THE ONLY THING THAT MATTERS
You can read every resource on this list and still not become good at AI.
What actually works: using the tools every day.
Pick one resource per week. Use the tool it teaches. Apply it to something real in your work or life.
15 weeks of consistent practice beats 15 weeks of passive reading every time.
Bookmark this. Come back to it each week.
If this was useful:
→ Repost so others have the roadmap too
→ Follow @sairahul1 for more AI guides like this
→ Bookmark this — the links are worth saving
