Develop AI Complete Course — 33 Lessons
Learn, build and deploy AI from beginner to advanced: how models learn, transformers, RAG, tools, agents, safety, testing, deployment and choosing the right AI strategy — explained simply.
What Is Artificial Intelligence? — The Big Picture
Lesson 1: what AI really is, where it already runs your day, and what this course will teach you to build.
From Calculators to ChatGPT — The Amazing History of AI
Lesson 2: the seventy-year story of AI, from early machines to today's chatbots.
What Is Machine Learning — How Computers Learn from Data
Lesson 3: the core idea behind modern AI — learning patterns from examples instead of following fixed rules.
Inside the AI Brain — Deep Learning Explained
Lesson 4: how layered 'neural networks' let AI tackle speech, images and language.
What Is Generative AI — How Machines Create Text, Images and Video
Lesson 5: the AI that writes, draws and composes — and how it differs from older AI.
What Is a Large Language Model — How LLMs Generate Answers
Lesson 6: what an LLM actually is and how it produces an answer one piece at a time.
How AI Understands Language — LLMs, Tokens & Transformers Explained
Lesson 7: how text is chopped into tokens and processed by the transformer design behind modern AI.
Inside the Transformer — How ChatGPT Processes Your Prompt
Lesson 8: follow your prompt's journey through a transformer, step by step.
Building an LLM — Data, GPUs, Compute & the AI Training Factory
Lesson 9: what it really takes to train a large model — data, chips, electricity and months of computing.
How AI Learns From Mistakes — Loss, Gradient Descent & Backpropagation
Lesson 10: the simple idea at the heart of training — measure the error, then nudge the model to reduce it.
Where Does AI Store What It Learns — Weights, Parameters & Representations
Lesson 11: what 'knowledge' looks like inside a model — numbers, not sentences.
RAG & Vector Databases — How AI Uses Your Own Knowledge
Lesson 12: how to make AI answer from your documents instead of only its training data.
Tools, Function Calling & APIs — How AI Begins to Take Action
Lesson 13: how AI moves beyond chat to actually doing things — checking calendars, sending emails, running code.
Prompt Engineering for Builders — Getting Reliable Output
Lesson 14: how to design prompts that give consistent, structured results inside real applications.
Memory & Personalisation — How AI Remembers You
Lesson 15: how AI products remember preferences and past chats — and the privacy questions that raises.
AI System Architecture — How Models, RAG, Memory, Tools & Agents Work Together
Lesson 16: the complete blueprint of a modern AI product, piece by piece.
AI Safety, Guardrails & Human Control — How to Keep AI Agents Under Control
Lesson 17: the rules and checks that keep helpful AI from causing harm.
AI Testing, Evaluation & Monitoring — How Do We Know AI Really Works
Lesson 18: measuring whether an AI system is accurate, helpful and safe — before and after launch.
AI Deployment, Scaling & Reliability — From Prototype to Real World
Lesson 19: what it takes to serve AI to thousands of users — speed, cost and staying online.
AI Development Lifecycle — From Business Problem to Working AI Product
Lesson 20: the full journey of an AI product — problem, data, prototype, test, launch, improve.
Build, Buy, Fine Tune or Train — Choosing the Right AI Strategy
Lesson 21: the four ways to get AI capability — and how to choose between them.
How to Choose the Right AI Model — Capability, Speed, Cost, Privacy & Security
Lesson 22: a practical checklist for picking the model that fits your task and budget.
Databases for AI Applications — SQL, NoSQL & Vector Databases Explained
Lesson 23: where an AI product keeps its data — and how to choose between SQL, NoSQL and vector databases.
Backend Architecture for AI Applications — Servers, Queues, Caches & Scaling
Lesson 24: the invisible machinery — servers, queues and caches — that keeps an AI app fast under real traffic.
Frontend & User Experience for AI Applications — Chat, Voice, Forms & Dashboards
Lesson 25: designing the part people actually touch — chat windows, voice, forms and dashboards.
Security for AI Applications — Identity, Permissions, Secrets & Data Protection
Lesson 26: keeping an AI product safe — who can log in, what they may do, and how secrets and data stay protected.
AI Performance & Cost Optimization — Make AI Faster, Smarter & Cheaper
Lesson 27: the practical tricks that make an AI product answer faster and cost less without losing quality.
Build a Complete AI Application — From Business Problem to Production AI System
Lesson 28: the capstone — every earlier lesson combined into one real, working AI product.
AI Agents — Software That Plans and Acts
Lesson 29: how agents chain models, tools and memory to complete multi-step jobs on their own.
Your First AI Project — A Guided Walkthrough
Lesson 30: from idea to working assistant — the beginner-friendly path for a first real build.
AI Ethics, Bias & Responsible Use
Lesson 31: building AI that is fair, honest and worthy of people's trust.
The Business of AI — Careers, Products & Opportunities
Lesson 32: where the real opportunities are in the AI economy — and how to position yourself.
Develop AI Certificate
Finish all 33 Develop AI lessons and pass the Develop AI exam with 70% or higher to earn your own Develop AI certificate.
Take the Develop AI Exam