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There are 4 modules in this course
In this beginner level course on Generative AI, we take a closer look at popular tools and technologies such as GPT-4, DALL-E, and Stable Diffusion, alongside basic hands-on guidance for their configuration and use. This course aims to deepen understanding of each tool's unique capabilities and ease of usage. Learners will achieve proficiency in employing these tools for various creative tasks and will be able to compare GenAI solutions for solving real-world problems.
By the end of this course, you’ll be able to:
• Demonstrate basic proficiency in configuring and utilizing various generative AI tools.
• Highlight features, capabilities, and use cases of different generative AI technologies, analyzing their effectiveness in specific contexts, using criteria such as ease of use, output quality, and versatility.
• Synthesize best practices for integrating generative AI into workflows.
Welcome to getting started with GenAI Tools, the second course on the Generative AI Essentials from Concepts to Ethics specialization!
In the first module of this course, we will learn how to get started with using generative AI. In particular, they will learn about how various generative AI tools like GPT-4 and DALL-E function. Furthermore, they will learn how to generate their first piece of AI art.
What's included
11 videos1 assignment
Show info about module content
11 videos•Total 54 minutes
Course introduction•5 minutes
Meet your instructors: Nasimeh Asgarian•1 minute
Meet your instructors: Soroush Razavi•1 minute
High-Level Overview of Popular Generative AI Tools•5 minutes
Industrial Revolution and the Risk of Using GenAI•7 minutes
Evolution of Technologies•9 minutes
Why Is GenAI Such a Big Deal?•8 minutes
Understanding Privacy Considerations•5 minutes
ChatGPT Tutorial•4 minutes
Intro to Prompt Engineering •7 minutes
Module 1 Recap•2 minutes
1 assignment•Total 45 minutes
Module 1 Quiz•45 minutes
Hands-On Guidance for Using GenAI Text-Based Tools
Module 2•2 hours to complete
Module details
In the second week of this course, we will learn about generative AI tools for generating text. In particular, they will learn about the history of the GPT architecture, how they do next word prediction, and understand some of the specifications about large language models.
What's included
11 videos1 assignment
Show info about module content
11 videos•Total 65 minutes
Defining LLMs•7 minutes
LLMs Architecture•5 minutes
Understanding the Scale of AI Models•7 minutes
Evaluating LLM Specs•9 minutes
Using Tools•6 minutes
Using AI for Search (Perplexity)•5 minutes
Uploading Documents•4 minutes
Advanced Prompt Engineering•9 minutes
Real-World Applications of Prompt Engineering•3 minutes
Putting It Into Practice•8 minutes
Module 2 Recap•2 minutes
1 assignment•Total 45 minutes
Module 2 Quiz•45 minutes
Hands-on for GenAI Image-based tools
Module 3•2 hours to complete
Module details
In the third module of this course, you will see examples of using AI for generating images. In particular, learners will see tutorials on DALLE to understand how these approaches differ in generating images. They will also learn best tips and practices for generating content with AI.
What's included
12 videos1 assignment
Show info about module content
12 videos•Total 69 minutes
Defining Image Generation•7 minutes
DALLE 2 Architecture•4 minutes
Image Generation Overview•6 minutes
Compare Image Generation Products•4 minutes
Prompt Engineering for Image Generation•6 minutes
Advanced Techniques in Image Generation•7 minutes
Multi-Modal Models and Video Generation•8 minutes
Applications of Multimodal Models•4 minutes
AI Products for Visual Media•7 minutes
Tips for Detecting AI-Generated Media•9 minutes
Case Study: Marketing•6 minutes
Module 3 Recap•2 minutes
1 assignment•Total 45 minutes
Module 3 Quiz•45 minutes
Best Practices for GenAI
Module 4•2 hours to complete
Module details
In the final module of this course, we will take a zoom out and take a look at the pipeline of a GenAI project, from the data that will be used for training to setting up the model in the world. We will take a look at different ways to utilize GenAI from the hardware requirements to other methods of using readily available models.
What's included
12 videos1 assignment
Show info about module content
12 videos•Total 65 minutes
Lifecycle of a GenAI project•7 minutes
The Data That Goes Into GenAI•7 minutes
The Training Process•6 minutes
Setting Up AI in the World•6 minutes
What Do You Need to Run an AI Model?•7 minutes
API Use for Generative AI•5 minutes
Running AI Models Yourself•7 minutes
Identify Best Practices for Integrating GenAI into Projects•5 minutes
Features, Ease of Use, and Limitations•5 minutes
Mitigating Risks of GenAI•6 minutes
Module 4 Recap•1 minute
Course Recap•3 minutes
1 assignment•Total 45 minutes
Module 4 Quiz•45 minutes
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The Alberta Machine Intelligence Institute (Amii) is home to some of the world’s top talent in machine intelligence. We’re an Alberta-based
research institute that pushes the bounds of academic knowledge and guides business understanding of artificial intelligence and machine learning.
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