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What's Covered in this Course?
The "Generative AI Essentials - Practical Use Cases" course is tailored for learners of all levels, from beginners to seasoned professionals eager to explore the world of Generative AI through effective Prompt Engineering. This course serves as your gateway to mastering generative AI, offering essential concepts and practical, hands-on experience.
We'll begin with an overview of Generative AI, tracing its evolution within the broader AI ecosystem, and then cover essential GenAI terminologies. Following this, we'll examine the fundamental concepts of prompt engineering and its best practices. The core of this course is practical use cases—domain-specific scenarios designed to streamline and enhance your daily workflows. We will also address the potential risks and challenges of using Generative AI. Finally, we'll conclude with an exciting capstone project utilizing AWS Bedrock.
Whether you're new to AI or have some experience, this course will guide you through foundational concepts and each stage of learning.
What is Generative AI?
Generative AI is a subset of artificial intelligence capable of creating new content, including images, videos, music, text, code, and more. It achieves this by learning from extensive datasets of existing information and leveraging that knowledge to produce fresh, clean, and precise outputs.
Legal Notice:
ChatGPT is an open-source, community-driven software managed by the OpenAI. ChatGPT/OpenAI and the ChatGPT/OpenAI logo are trademarks or registered trademarks of The OpenAI in one or many countries. The OpenAI and other parties may also have trademark rights in other terms used herein. This course is not certified, accredited, affiliated with, nor endorsed by The OpenAI.
Course Structure:
Lectures
Demos
Quizzes
Assignments
Course Contents:
Getting Started with GenAI
GenAI Terminologies:
- Generative adversarial networks (GANs)
- Variational Autoencoder (VAEs)
- Foundational Models (FMs)
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
Prompt Engineering
Hands-On Use Cases on GenAI Tools & Platforms:
- Email Composition
- Summarization
- Pdf Reader | Chat with PDF
- Content Creation: blogs, YouTube video etc
- Text to Image
- Text to Video
- Creating Presentations
- Product & Fashion Photo Shoots
- Design Your Brand logo
- Capture and Share Insights from Virtual Meetings
- Coding and Development
- Data Analysis
- Building Website with Generative AI
- Deploying Website with Generative AI
Responsible Generative AI
Potential Risks
Ethical Considerations
Best Practices
Capstone Project using AWS Bedrock
All sections of this course are demonstrated live, providing step-by-step guidance to help you set up your local environment, perform all exercises, and learn through hands-on practice.
Everything You Need to Know About Generative AI Essentials - Practical Use Cases
This course is a comprehensive and well-structured introduction to Generative AI Essentials - Practical Use Cases. The instructor, Yogesh Raheja, is a leading expert in the field with a wealth of experience in IT & Software to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Other IT & Software. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Generative AI Essentials - Practical Use Cases. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
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