Generative AI Essentials: The AI-Ready Mindset

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.<div><br><div></div><div></div><div></div><div>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. </div><div><br></div><div>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. </div><div><br></div><div>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. </div><div><br></div><div>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. </div><div><br></div><div>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.</div><div> </div><div> </div><div> </div><div> </div><div> </div><div> </div><div> </div><div> </div><div> </div><div> </div><div> </div><div> </div></div>

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