Welcome to the Comprehensive Generative AI Course, your gateway to mastering the exciting world of Generative Artificial Intelligence. With this course, you'll gain the knowledge and skills needed to excel in this rapidly growing field which is expected to be valued at $100 billion over the next years.

With multiple hours of content, world class slides and resources, this course is the most detailed Generative AI course you will find. Even if you have zero programming experience, this course will take you from beginner to mastery. Here's why:

• The course is taught by a PhD in computer science with multiple publications who has taught in multiple universities all over the world for years.

• The course has been created to be 2023 ready and you'll be learning the latest tools and technologies used at large companies such as OpenAI.

• This course doesn't cut any corners, there are beautiful detailed presentations, assignments, projects, downloadable resources, articles, and so much more.

• The curriculum was developed over years while the instructor taught at the university level, with comprehensive student testing and feedback.

• We've taught thousands of students how to code and many have gone on to change their lives by becoming professional developers or starting their own tech startup.

• The course is constantly updated with new content, with new projects and modules determined by students - that's you!

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to understand Generative AI and succeed in the industry.

The course includes multiple hours of HD video tutorials and builds your knowledge while working on actual assignments.

In this comprehensive Generative AI course, you'll explore a variety of tools and technologies, including:

• Prompt design and its importance in generating desired outputs

• Foundation Models and their impact on Generative AI development

• Building apps with AppSheet and integrating Generative AI

• Different types of Generative AI models (text to text, text to image, etc.)

• Code generation using Generative AI models like Bard, ChatGPT 3.5, and GPT-4

• Large Language Models (LLMs) and their advantages

• Prompt Engineering techniques in LLMs

• Building conversational AI engines

• Deep Learning and its significance in AI

• Task-specific Models available in the Model Garden

• Model training and deployment with Gen AI Studio and Maker Suit

• Creating custom Gen AI apps

• And SO much more!