aws

Generative AI for
Business with AWS

This program is designed for professionals to gain a competitive edge, whether you're a decision-making executive, a product manager, or an entrepreneur. This beginner-friendly program requires no technical background, providing hands-on experience with real-world applications on the AWS cloud platform and mastering Generative AI to harness its transformative potential for your business.

Download Brochure
Next cohort starts: 23rd Nov 2024

Enquire: +1 512 855 2685

  • icon

    14-week online program

  • icon

    8+ hands-on case studies,
    2 hands-on projects

  • icon

    Hands-on AWS lab access

  • icon

    Learn Prompt Engineering without and with code

  • icon

    Learn tools like AWS Comprehend, AWS Rekognition, AWS Bedrock, Python, and more

  • icon

    Certificate of Completion by Great Learning and AWS

1,200 USD
ENROLL NOW

Curriculum

Module-1: Introduction to Generative AI

This module serves as an introduction to the rapidly evolving field of Generative Artificial Intelligence (AI). The primary focus for this module is to gain a comprehensive understanding of the Generative AI landscape, including its foundational concepts and the potential it holds for businesses in problem-solving and product creation.

Week-1: ML Foundations for GENAI

Develop proficiency in applying mathematical foundations to Generative AI, effectively understanding and connecting Machine Learning principles to its core, and bridging NLP fundamentals with advanced Generative AI applications.

  • Mathematical Foundations of Generative AI
  • Understanding Machine Learning with respect to Generative AI
  • Connect NLP fundamentals with advanced Generative AI applications
Week-2: Generative AI: Business Landscape & Overview

Understand the Generative AI Landscape, fundamentals, and possibilities for businesses to solve problems and create products.

  • Defining AI, ML, DL, LLM, and Generative Models
  • Learning supervised and unsupervised ML tasks
  • Understanding Generative and Discriminative AI
  • A brief timeline of Generative AI
  • A peek into generative models
  • Deconstructing the behavior of a large language models
  • ML, DL, and GenAI applications in business
  • Hands-on Demonstration of popular tools 
Module-2: Leveraging Generative AI for Business Applications

The module revolves around three core pillars - understanding Generative AI, exploring  AWS services related to GEN AI, and mastering Prompt Engineering. In this enriching journey, you will delve into foundational concepts of AI, Machine Learning (ML), Deep Learning (DL), Large Language Models (LLMs), and their applications across various industries. You will gain hands-on experience with cutting-edge generative tools and explore the vast capabilities of AWS services. Lastly, you will learn the intricate art of Prompt Engineering, mastering the design and implementation of effective prompts without the need for coding. 

Week-3: Prompt Engineering w/o Code

Gain practical knowledge of Prompt Engineering and the ability to do it without code for various business use-cases.

  • LLMs and the genesis of Prompting
  • How does the Attention mechanism work? 
  • A brief history of the GPT model series
  • Accessing GPT through AWS
  • Designing prompts for business use-cases using playground templates
  • Prompting techniques (Prompt templates, precise instructions, chain of thought prompting)
  • Ideating for prompts (prompt generation by induction, prompt paraphrasing)
Week-4: Project: Product Feedback Review & Sentiment Analysis

Create a prompt template that performs sentiment analysis on product reviews. The model should extract relevant information, such as product names, reviewer names, review ratings, review descriptions, and sentiment (positive or negative), to assist the company in understanding customer feedback better.

Module-3: Python for Generative AI

In this course, you’ll have a solid understanding of Python programming needed for Generative AI, and be equipped with the skills to start creating your own generative AI projects. Whether you’re a seasoned programmer looking to expand your AI knowledge or a complete beginner interested in the field, this module will set you up with the programming skills you need.

Week-5: Python for learning Prompt Engineering - 1

Strengthen Python proficiency by deepening understanding and expertise in fundamental concepts including variables, data types, data structures, conditions, loops, and functions.

  • Deepen grasp and expertise in the basics of Python.
  • Developing a deeper understanding of Variables, Data types, Data Structures, Conditions and Loops, and Functions.
Week-6: Python for learning Prompt Engineering - 2

Learn text manipulation in Python by learning to store, edit, and delete text efficiently, comprehend file handling techniques, employ database operations, and skillfully manipulate string columns for enhanced data management.

  • Store, Edit, and delete text in python
  • How to read files in Python
  • How to work with a database
  • Manipulate string columns
Module-4: Designing Generative AI Solutions with AWS

This advanced module plunges deeper into the workings of LLMs, teaching you how to automate prompt engineering and other Generative AI applications at scale using Python. Learn to set up AWS for the generative AI solutions, using AWS Bedrock API key and import the Python library/SDK to work with various Generative AI models. 

Master the Completions API, ChatCompletions API, and Embeddings API, understanding their rates, limits, and pricing. The course then moves to practical applications of Generative AI in text classification and summarization, with hands-on exercises such as classifying medical records and assigning themes to finance news articles.

Week-07: Learning Break
Week-08: Prompt Engineering at Scale

Learn how to use the AWS API key and the python SDK to leverage generative AI at scale for solving business problems.

  • Setting up your AWS API key and Python SDK
  • Completions and Chat API
  • Kinds of APIs, Models, Token, Rate Limits and Pricing
  • Evaluating Generative AI Outputs

 

Week-09: Classification Tasks with Generative AI

Learn how to use Prompt Engineering to solve classification type problems.

  • Framing text classification tasks as Generative AI problem
  • Sentiment classification
  • Assigning themes to a body of text 
  • Aspect-based sentiment analysis
Week-10: Content Generation and Summarization with Generative AI

Learn how to use Generative AI for content generation tasks across various business problem spaces.

  • Content generation using Generative AI 
  • Abstractive summarization
  • Text generation 
  • Image generation
Week-11: Information Retrieval and Synthesis workflow with Gen AI

Learn how to setup an information retrieval and synthesis workflow on AWS or a local environment for a business use-case.

  • Overview of advanced application of Generative AI 
  • Critical components of architecting conversational agents
  • Demonstration of a conversational agent implementation

 

Week-12: Final Project: Aspect-based Classification for Sentiment Analysis

Use aspect-based classification for sentiment analysis to identify the aspects of a product or service that customers are most satisfied with and those that need improvement. This will help businesses understand their customers better and make data-driven decisions to improve their products or services. By improving customer satisfaction and loyalty, businesses can increase customer retention rates, reduce churn rates, and ultimately increase revenue.

Self-paced Modules
Week-13: Natural Language AI workloads on AWS

Identify features of typical NLP workload scenarios and explore AWS tools and services applicable to NLP workloads.

  • Identify features of common NLP Workload Scenarios
  • Identify AWS tools and services for NLP workloads
Week-14: Computer Vision AI workloads on AWS

Recognize various computer vision solution types and discover AWS tools for handling computer vision tasks. 

  • Identify common types of computer vision solution
  • Identify AWS tools and services for computer vision tasks

 

Earn Your Certificate

Enhance your resume with a certificate in Generative AI for Business with AWS & share it with your professional network.

Certificate

Note: The image is for illustrative purposes only. The actual certificate may be subject to change at the discretion of Great Learning.

Still have queries?
Contact Us

Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at learningforlife@mygreatlearning.com or +1 512 855 2685.

Application Closes 19th Nov 2024

Download Brochure

Check out the program and fee details in our brochure

Oops!! Something went wrong, Please try again.
Name
Email
Mobile Number

By submitting this form, you consent to our Terms of Use & Privacy Policy and to be contacted by us via Email/Call/Whatsapp/SMS.

Phone Icon

We are allocating a suitable domain expert to help you out with your queries. Expect to receive a call in the next 4 hours.

1,200 USD
Download Brochure