AI for Busy People
Not sure where to start?
Lesson 1 – How Artificial Intelligence Works
Understand what AI really is, how it differs from ML, DL, and NLP, and explore its evolution with simple analogies and a live model demo.
Lesson 2 – Commercial AI Models: Adoption and Trade-offs
Explore the key AI models (GPT, Claude, Gemini, Mistral, etc.) with visual tours, comparison charts, and real business use cases.
Lesson 3 – Generative AI: Images, Texts, Video & SEO
Discover top platforms for generating content (Midjourney, Runway, Jasper, ElevenLabs) and their use in marketing and media.
Lesson 4 – Prompt Engineering: Maximize Your Output
Learn how to craft effective prompts with real-time comparisons, best practices, templates, and chaining techniques.
Lesson 5 – AI Automation in Action
See how to automate processes with tools like N8N, Make, or Zapier by building a live end-to-end workflow using AI.
Lesson 6 – Hugging Face: Choosing the Right Model
Dive into Hugging Face, explore the model hub, test industry-specific models, and understand model cards and APIs.
Lesson 7 – Ollama and Local AI Models
Run a model locally with Ollama, compare performance, monitor system usage, and assess privacy advantages.
Lesson 8 – LangChain: Building AI Pipelines
Connect models, APIs, memory, and data in a live LangChain demo that processes PDFs and returns structured outputs.
Lesson 9 – Retrieval-Augmented Generation (RAG)
Learn how to enrich AI responses by injecting data from your internal documents through a practical RAG example.
Lesson 10 – Fine-Tuning: When and Why
Understand what fine-tuning is, when it’s needed, and how it compares to prompt engineering and RAG.
Lesson 11 – Agents: Build Intelligent Assistants
Create your first AI agent with Flowise and see how it performs real tasks autonomously using the ReAct pattern.
Lesson 12 – Multi-Agent Systems & Google ADK
Orchestrate multiple AI agents with specific roles, coordinating them for complex workflows using Google’s Agent Framework.
Lesson 13 – Model Context Protocol: AI Memory
Explore how persistent memory works in AI by simulating a session that retains context across days or sessions.
Lesson 14 – Tool-Based Agents
Watch agents use tools like web browsers and files in real time, enabling AI to act beyond conversation.
Lesson 15 – Low-Code/No-Code AI
Prototype full AI apps without writing code using tools like Retool or Make. Build dashboards that think and act.
Lesson 16 – How to Approach an AI Project
Follow a clear, 7-step roadmap to run successful AI projects in business, from use case to MVP to governance.
Lesson 17 – Why You Can’t Ignore AI
A motivational conclusion showing the competitive gap between adopters and laggards, with visual storytelling.