Gen AI Literacy for Employees and Managers

KNOWING EVERYTHING ABOUT GEN AI

Generative AI is here, it's disruptive, and it's transforming most - if not all - positions in organizations.

We need to understand it, but also understand how it changes work, and what we must do to adapt.

In this course, we'll go over all the foundational information related to Gen AI.

What it is. What it can do in work. What it can't do. Types of tasks it does well. Types of tasks it's not good at. Problems when adopting it (related to people, tech, processes, others). Basic technical aspects. And a lot more.

This is the definitive course on understanding Gen AI, and working with Gen AI, for any employee of any organization.

LET ME TELL YOU... EVERYTHING.

Some people - including me - love to know what they're getting in a package.

And by this, I mean, EVERYTHING that is in the package.

So, here is a list of everything that this course covers:

• You'll learn about where we are right now, in the world, with Gen AI. What it can do, the effects it has on people, how it's being adopted, and how it's revolutionizing various industries;

• You'll learn about what Gen AI can do. The three tiers of tasks (Tier 1: Very useful; Tier 2: somewhat useful; Tier 3: dangerous!), what are the characteristics of tasks that Gen AI is good/bad at, and also what is hype versus what is true capability;

• You'll learn about how Gen AI changes work, including big shifts such as most employees going from focusing on the work itself to focusing on the design of workflows (to break down tasks so some can be automated), and going from "executor" to automator (instead of actually "doing" work, focusing on the automation of tasks in the same style/format as you previously did work);

• You'll learn about various technical aspects of Gen AI models. What do characteristics such as the number of parameters or the size of the context window mean, what are models for text/image/audio/video, as well as models such as multimodals or MoEs (mixtures of experts), as well as what are processes such as tokenization and vectorization for creating embeddings, why hallucinations occur, as well as an overview of what is training, fine-tuning, the creation of LoRAs, and the usage of RAG;

• You'll learn about the most common pain points when adopting Gen AI in an organization, including elements such as unrealistic expectations, premature optimizations, having insufficient/unfit tools, having problems with output quality/trustability, misalignment between Gen AI and workflows, disorganization issues, various anxieties and stigmas by employees, or stochastic degration (small widespread mistakes due to hallucinations, bad Gen AI adoption, or others);

MY INVITATION TO YOU

Remember that you always have a 30-day money-back guarantee, so there is no risk for you.

Also, I suggest you make use of the free preview videos to make sure the course really is a fit. I don't want you to waste your money.

If you think this course is a fit, and can take your knowledge of dealing with change to the next level... it would be a pleasure to have you as a student.

See on the other side!