Generative AI for Research & Development with AWS, Python
Generative AI for Research & Development with AWS, Python Udemy Coupon Code by Shikhar Verma with 12.5 hours on-demand video course and free 21 downloadable resources. Learn to build AI apps and chatbots using Bedrock, LLMs, LangChain, RAG, Python, Streamlit, and Generative AI for RD.
Generative AI for Research Course Overview
Course Description
In this course, you will learn how to build generative AI applications and chatbots using Bedrock, LLMs, LangChain, RAG, Python, Streamlit, and various foundation models, with a focus on their application in research and development for real-world projects.
Generative AI for Research & Development
Here are the key use cases and projects featured in the course:
- Text-to-Image Generation: Learn how to use AWS Lambda and Amazon AI models to generate images from text, with a full setup guide.
- Text-to-Image Generation with Stable Diffusion: Explore how to integrate Stable Diffusion models for generating images based on text input.
- Text Summarization: Understand how to use Cohere Command and Text Foundation Models for efficient text summarization.
- Python-Based Chatbot: Build a chatbot using AWS Bedrock and Anthropic Claude FM.
- Streamlit-Based Python Chatbot: Create a dynamic, Streamlit-powered Python chatbot with AWS Bedrock and Anthropic Claude.
- LangChain-Driven Chatbot: Build a LangChain-powered Streamlit chatbot using Python, AWS Bedrock, and Anthropic Claude.
- RAG for Health Chatbot: Implement Retrieval Augmented Generation (RAG) to develop a health-related chatbot.
- Project: Text2Speech Player – A hands-on project where students will develop a Text-to-Speech (TTS) player using Python libraries like gTTS, os, and pygame.
What you’ll learn
- Introduction to AI, ML, and Neural Networks
- Students will gain insight into real-world applications of AI.
- Students will gain an understanding of the foundations of Deep Learning.
- Learn how Generative AI works and deep dive into Foundation Models.
- Students will learn about Foundation Models, LLMs, Text-to-Image generation, and Multimodal AI, and their real-world applications.
- Students will learn to use Amazon Bedrock Console, Playgrounds, Builder Tools, Safeguard, and models.
- Use Case 1: Text-to-image generation with AWS Lambda and Amazon AI models, including setup.
- Use Case 2: Text-to-image generation with AWS Lambda and Stable Diffusion AI models.
- Use Case 3: Text summarization using Cohere Command and Text Foundation Models.
- Use Case 4: Python-Based Chatbot with AWS Bedrock and Anthropic Claude FM
- Use Case 5: Streamlit-Based Python Chatbot with AWS Bedrock and Anthropic Claude
- Use Case 6: LangChain-Driven Streamlit Chatbot Using Python, AWS Bedrock, Anthropic Claude
- Use Case 7: Retrieval Augmented Generation (RAG) – Build a Health Chatbot
- Project – Text2Speech Player, students will develop a Text-to-Speech (TTS) player using Python libraries such as gTTS, os, and pygame.
- Python coding practice
- Regular Expression (regex) in Python
- Mastering Keywords in Python
- How to declare and assign values to variables.
- Python Functions: Definition and Usage
- How to Begin Practicing Python Coding
- Return Statement in Python
Recommended Courses
Generative AI: OpenAI API, DeepSeek, and ChatGPT in Python Best seller
The Complete Python Programming and Generative AI Bootcamp Featured
Course Reviews
This Generative AI for Research & Development with AWS, Python course offers a comprehensive and well-structured introduction to Generative AI, the instructor, brings a wealth of expertise in Business, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Amazon Bedrock Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, The Instructors explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the Generative AI for Research & Development with AWS, Python to anyone looking to learn Generative AI This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
Course Rating
![SAP DWC Datasphere Masterclass Hands on Training [Updated]](https://couponos.me/wp-content/uploads/SAP-DWC-Datasphere-Masterclass-Hands-on-Training-Updated.jpg)
