Course Overveiw

This one-day training course offers a comprehensive introduction to generative AI using AWS services. Participants will explore key concepts, practical use cases, and hands-on labs to optimize AI model performance. The course emphasizes responsible AI principles, security, governance, and compliance, ensuring ethical AI practices. Through real-world demos and a capstone project, attendees will gain the skills needed to implement generative AI projects and integrate them into the development lifecycle. Ideal for career advancement in AI, the course provides networking opportunities and post-training support. 

After completing this course, students will be able to:

  • Summarize generative AI concepts, methods, and strategies
  • Discuss the appropriate use of generative AI and machine learning and their technologies
  • Describe how to use generative AI responsibly and safely
  • Recognize the types of generative AI solutions with specific use cases
  • Explain implementation and project planning of generative AI to your organization

Upcoming Batches

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Key features of Generative AI Essentials on AWS

  • Comprehensive Coverage: The course covers a wide range of topics, from introducing generative AI to integrating it into the development lifecycle and creating project plans. 

  • Hands-On Labs: Participants will engage in practical labs, including optimizing slogan generation and implementing responsible AI principles with Amazon Bedrock. 

  • Real-World Demos: The course includes demos of generative AI solutions and Amazon Q Business to provide real-world context and applications. 

  • Focus on Responsible AI: Emphasis on responsible AI principles, including fairness, transparency, and accountability, ensuring ethical AI practices. 

  • Security and Compliance: Detailed modules on security, governance, and compliance to help participants understand how to protect and manage AI systems effectively. 

  • Career Advancement: The training prepares participants for various job roles in generative AI, enhancing their career prospects and providing valuable skills. 

  • Expert Instructors: Led by experienced professionals in the field of AI and AWS, ensuring high-quality instruction and insights. 

Who Should Attend the training ?

  • Business analysts
  • IT supports
  • Marketing professionals
  • Product or project managers
  • Line-of-business or IT managers
  • Sales professionals

Prerequisites:

  • Anyone can join the training

    • Why choose CloudThat as your training partner?

    • Expert Instructors: CloudThat's courses are led by industry experts with extensive experience in AI and AWS, ensuring high-quality instruction.
    • Hands-On Learning: Emphasis on practical, hands-on labs and real-world demos to provide participants with valuable, applicable skills.
    • Comprehensive Curriculum: Courses cover a wide range of topics, from introductory concepts to advanced implementation, offering a well-rounded learning experience.
    • Focus on Responsible AI: Training includes responsible AI principles, ensuring ethical practices and compliance with industry standards.
    • Career Advancement: CloudThat's training programs are designed to enhance career prospects, preparing participants for various roles in AI and machine learning
    • Post-Training Support: CloudThat offers post-training support, additional resources, and forums for ongoing learning and development.

    Learning objective of course

    • Summarize generative AI concepts, methods, and strategies.
    • Discuss the appropriate use of generative AI and machine learning and their technologies.
    • Describe how to use generative AI responsibly and safely.
    • Recognize the types of generative AI solutions with specific use cases.
    • Explain implementation and project planning of generative AI to your organization

    Course Outline Download Course Outline

    Demo

    • Generative AI solution

    Lab 1

    • Optimizing Slogan Gneration with Amazon Bedrock

    Lab 2

    • Implementing Responsible AI Principles with Amazon Bedrock Guardrails

    Demo

    • Amazon Q Business

    Capstone

    • Creating a Project Plan with Generative AI

    Course Fee

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    Course ID: 23740

    Course Price at

    $799 + 0% TAX
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