English | MP4 | AVC 1920×1080 | AAC 44KHz 2ch | 44 Lessons (2h 9m) | 691 MB
Build AI fluency and unlock superhuman speed, scale and creativity with gen AI and LLMs like ChatGPT, Gemini & Claude
Generative AI is transforming the way the world works. From writing and coding to analytics and design, large language models and tools like ChatGPT, Gemini and Claude are redefining what’s possible.
In this course, we’ll explore what it means to develop an AI-first mindset. We’ll talk about the risks and realities of using large language models, and how to combine the unique strengths of humans and machines to drive better results.
We’ll also confront some of the complex ethical realities of this new world – from bias and ownership to privacy and fraud – and break down the exact skills you need to become an AI-ready professional.
Next we’ll lay the foundation and demystify terms like generative AI, deep learning, LLMs and GPTs, and explain how this technology actually works (and why it feels like magic). We’ll also compare common types of AI, including standalone apps, embedded models and autonomous agents.
From there we’ll explore the fast-moving AI landscape, help you get up and running with some of the most common generative AI tools, and share unique, practical frameworks for selecting the best options based on your budget and goals.
Finally, we’ll roll up our sleeves and put these tools to use. We’ll demonstrate how to craft effective prompts to produce accurate and consistent results, then explore powerful real-world use cases like generating and translating code, debugging errors, building datasets and documentation, conducting research, and working with AI agents.
What you’ll learn
- Learn how GPTs and LLMs actually work, and how to combine the unique strengths of humans and machines to unlock superhuman productivity
- Understand the complex ethical implications of AI, including bias, ownership, privacy and fraud
- Review the landscape of AI apps, embedded models and agents, and get up and running with tools like ChatGPT, Gemini and Claude
- Explore powerful real-world use-cases for coding, data analysis, documentation, deep research, agent mode, and more
Who this course is for:
- Individuals who want to understand how generative AI and LLMs work, and learn practical ways to apply them to their own work
- Leaders looking to stay ahead of emerging trends, and foster responsible, effective AI adoption in their organizations
- Anyone who wants to build confidence using tools like ChatGPT and Gemini to save time, spark creativity, and make smarter, faster decisions
Table of Contents
Getting Started
1 Course Introduction
2 Course Structure Outline
3 READ ME Important Notes for New Students
4 DOWNLOAD Course Resources
5 Setting Expectations
The AI Mindset
6 Why AI and Why Now
7 AI vs Human Strengths
8 AI Risks Realities
9 Data Literacy AI Literacy
10 Ethics in the Age of AI
11 Thought Experiments AI Ethics
12 The AIReady Professional
13 The AI Mindset
Intro to Gen AI LLMs
14 Section Intro
15 The AI Space
16 Generative AI LLMs
17 Generative Pretrained Transformers
18 Types of AI
The AI Landscape
19 Section Intro
20 Common AI Tools
21 Accessing Free AI Tools
22 Model Options Tools
23 AI Benchmarks
24 PRO TIP Using Multiple Tools
25 Choosing The Right Tools
Getting Started with AI
26 Section Intro
27 Basic Prompting
28 DEMO Prompting Tips
29 Conversational AI
30 DEMO Conversational AI
31 Common Data Use Cases
32 DEMO Writing Code
33 DEMO Code Translation in Canvas
34 DEMO Fixing Errors
35 DEMO Generating Practice Data
36 DEMO Documenting Data
37 DEMO Deep Research
38 DEMO Guided Learning
39 DEMO Agent Mode Slide Deck Build
Looking Forward
40 Section Intro
41 Tips for Individuals
42 Tips for Leaders
43 Key Course Takeaways
Bonus Lesson
44 Bonus Lesson
Resolve the captcha to access the links!
