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AI for Busy People
Transform Your Understanding of AI: From Curious Observer to Confident Practitioner
In today's rapidly evolving business landscape, artificial intelligence isn't just a buzzword—it's the defining technology that separates industry leaders from those left behind.
Whether you're an executive looking to drive innovation, a professional seeking to enhance your skill set, or an entrepreneur ready to harness AI's transformative power, understanding and implementing AI has become as essential as digital literacy was two decades ago.
Course Contents
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.