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:
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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.
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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.
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This course doesn’t cut any corners, there are beautiful detailed presentations, assignments, projects, downloadable resources, articles, and so much more.
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The curriculum was developed over years while the instructor taught at the university level, with comprehensive student testing and feedback.
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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.
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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:
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Prompt design and its importance in generating desired outputs
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Foundation Models and their impact on Generative AI development
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Building apps with AppSheet and integrating Generative AI
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Different types of Generative AI models (text to text, text to image, etc.)
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Code generation using Generative AI models like Bard, ChatGPT 3.5, and GPT-4
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Large Language Models (LLMs) and their advantages
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Prompt Engineering techniques in LLMs
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Building conversational AI engines
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Deep Learning and its significance in AI
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Task-specific Models available in the Model Garden
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Model training and deployment with Gen AI Studio and Maker Suit
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Creating custom Gen AI apps
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And SO much more!
With the knowledge gained throughout the course, you’ll be ready to leverage Generative AI techniques to bring your creative visions to life and develop innovative solutions in various domains.
Sign up today, and look forward to:
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Animated Video Lectures
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5+ Hours of University Professor Instruction
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Generative AI Assignments and Projects
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Quizzes & Opportunities to Practice
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Downloadable Programming Resources and Cheatsheets
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Tailor-made Generative AI Articles
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$1000+ worth of Generative AI course materials and course curriculum
We’re excited to have you as part of Evergreen Programming. So what are you waiting for? Click the buy now button and join this world class Generative AI course.
See you inside.
Traditional Artificial Intelligence
Generative Artificial Intelligence
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4Overview of Traditional Artificial Intelligence
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5Overview of Traditional Artificial Intelligence
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6Demystifying Machine Learning
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7Demystifying Machine Learning
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8Unraveling Deep Learning
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9Unraveling Deep Learning
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10Distinguish Discriminative and Generative Models
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11Distinguish Discriminative and Generative Models
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12Overview of Traditional Artificial Intelligence
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13Demystifying Machine Learning
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14Unraveling Deep Learning
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15Distinguish Discriminative and Generative Models
Large Language Models
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16Introduction to Generative Artificial Intelligence
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17Introduction to Generative Artificial Intelligence
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18What are Transformers
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19What are Transformers
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20Prompt Engineering
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21Prompt Engineering
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22What are Foundation Models
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23What are Foundation Models
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24Types and Applications of Gen AI
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25Types and Applications of Gen AI
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26Introduction to Generative Artificial Intelligence
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27What are Transformers
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28Prompt Engineering
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29What are Foundation Models
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30Types and Applications of Gen AI
Google Cloud Gen AI Tools
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31Introduction to Large Language Models
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32Introduction to Large Language Models
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33Benefits of Using LLMs
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34Benefits of Using LLMs
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35Examples of LLMs
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36Examples of LLMs
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37LLM Development
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38LLM Development
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39Importance of Tuning LLMs
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40Importance of Tuning LLMs
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41Introduction to Large Language Models
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42Benefits of Using LLMs
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43Examples of LLMs
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44Development of LLMs
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45Importance of Tuning LLMs
Demo: Building a no-code Gen AI App with AppSheet
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46Generative AI Studio
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47Generative AI Studio
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48MakerSuite & PaLM API
Let's navigate the exciting world of Google's generative AI tools, mainly focusing on the highly intuitive MakerSuite and the dynamic PaLM API. This video showcases how these state-of-the-art tools make the process of building AI-driven applications straightforward and accessible.
We begin with an introduction to MakerSuite, an uncomplicated, browser-based tool that accelerates prototyping with the PaLM 2 model. MakerSuite, combined with the PaLM API, provides access to Google's large language models, enabling developers to experiment with various prompts in a user-friendly environment.
We then dive into the powerful features of the PaLM API. This API allows you to speedily experiment with models, fine-tune custom models, generate top-tier embeddings, and even convert your progress into Python code. Whether you're thinking of building a travel itinerary generator, a passage summarizer, or any unique application, the PaLM API facilitates your creative journey.
The video offers an in-depth demonstration of MakerSuite, illustrating how simple it is to start prototyping with large language models. From selecting and entering prompts to testing model outputs, we guide you through each step, ensuring you gain maximum benefit from these tools.
Further, we explore these tools' practicalities, including saving, sharing, and exporting your work. We highlight the convenience of storing your prompts for future reference using MakerSuite's prompt library feature and how sharing your innovative creations is just a click away.
We have you covered for those planning to shift your work into a different development environment! We explain the process of exporting your work in the coding language that suits you best and the available formats for export.
To wrap things up, we delve into the harmonious pairing of PaLM API and MakerSuite, illustrating how they simplify prototyping with large language models. Through these tools, the powerful potential of generative AI becomes accessible to anyone interested in creating unique, AI-powered applications.
Join us in this journey of AI exploration and see how Google's tools are powering the next generation of AI features and applications!
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49MakerSuite & PaLM API
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50Gen App Builder
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51Gen App Builder
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52AppSheet
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53AppSheet
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54Generative AI Studio
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55MakerSuite & PaLM API
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56Gen App Builder
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57AppSheet