ATC-GENAILLMPRO - Building Intelligent Applications with Generative AI

This advanced course is tailored to enhance your expertise in generative AI. Gain insights into the engineering principles behind optimizing generative models for your applications. Learn the intricacies of fine-tuning models for specific use cases and master the deployment and scaling of models for real-time applications.

Upon completion of this advanced course, participants will possess the knowledge and skills necessary to excel in optimizing, fine-tuning, deploying, and scaling generative AI models for a variety of real-world applications.

Duration: 5.0 days

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Objectives

  • Elevate your knowledge and skills in generative AI, going beyond the basics to achieve advanced proficiency.
  • Gain a deep understanding of the engineering principles essential for optimizing generative models, ensuring they align seamlessly with the requirements of your applications.
  • Learn the art of fine-tuning generative models, tailoring them precisely to meet the unique demands of specific use cases and applications.
  • Master the deployment of generative AI models, acquiring the skills to seamlessly integrate them into practical applications.
  • Acquire expertise in scaling generative models for real-time applications, ensuring optimal performance and responsiveness in dynamic environments.
  • Gain practical insights into the application of generative AI principles, allowing you to implement advanced strategies and techniques in real-world scenarios.
  • Develop the ability to apply generative AI concepts to solve complex challenges, enhancing your problem-solving skills in diverse and dynamic contexts.
  • Understand how to engineer optimized generative model architectures, ensuring efficiency and effectiveness in generating desired outputs.
  • Engage in hands-on exercises focusing on fine-tuning generative models, providing practical experience in adapting models to specific requirements.
  • Tackle real-world deployment challenges and complexities, preparing you to navigate the intricacies of deploying generative AI models in diverse applications.

Content

Module 1. Introduction to Course

  • Welcome
  • Overview: AI/ ML/ DL/ GenerativeAI
  • Overview: Types of GenAI Models

Module 2. Foundational Model & LLM

  • Foundational Model in Depth
  • Large Language Model in depth
  • Building your own Foundational Models
  • Prompt Engineering
  • Limitation & Intuitions behind prompt engineering

Lab- Building Text to Image using AWS Foundational Model

Module 3. Fine Tuning Foundational Model

  • Fine Tuning Foundational Model
  • Integrating LLM into business workflow
  • Text-generation with GPT
  • Azure Copilot with OpenAI Studio

  Lab - Building Text Summarization using AWS Foundational Model service.

Module 4: Prompt Engineering

  • Prompt Writing
  • Creating Effective Prompt
  • Crafting Conversational Flow
  • ChatGPT Prompts
  • Ethics and Consideration in Prompt Engineering

Lab - Building Question Answering system with OpenAI service.

Module 5: Generating Code using GenAI

  • Code Generation from instruction
  • Prompt Engineering with Code
  • Amazon Code Whisperer

Lab – CodeWisperer

Module 6: Generating Images using GenAI

  • Text to image
  • Image to image
  • Text+Image to image
  • Fine tuning image models

Lab - Bedrock

Module 7: Generating Text using GenAI

  • Token
  • Prompt Engineering in Text Generation

Lab - ChatGPT, Bedrock

Module 8: Scaling & Deploying

  • Scaling & deploying GenAI models on Cloud
  • Designing Secure solutions on Cloud

Lab - SageMaker Inference & deployment

Audience

N/A

Prerequisites

  • Introduction to Generative AI course
  • Building & Deploying Generative AI Models Course

Certification

product-certification

Course Benefits

product-benefits
  • Career growth
  • Broad Career opportunities
  • Worldwide recognition from leaders
  • Up-to Date technical skills
  • Popular Certification Badges

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