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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.

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What You'll Learn

  • 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.

Who Should Attend

N/A

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Prerequisites

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

Learning Journey

Coming Soon...

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

Frequently Asked Questions (FAQs)

  • Why should I pick up this course and get certified?

    Career Advancement: Boost your earning potential and unlock new job opportunities.

    Stay Relevant: Keep your skills current in the ever-changing tech landscape.

    Problem-Solving Prowess: Hone your critical thinking and problem-solving abilities.

    Hands-On Experience: Apply your knowledge through practical labs and projects.

    Expand Your Network: Connect with industry experts and like-minded professionals.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

Keep Exploring

Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

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Improve yourself and your career by taking this course.

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