No-code Machine Learning and Generative AI on AWS Course Overview

No-code Machine Learning and Generative AI on AWS Course Overview

Unlock the potential of No-code Machine Learning and Generative AI with our comprehensive course on AWS. Designed for both beginners and seasoned professionals, this course provides a practical understanding of how to harness AI without extensive programming skills. You'll learn key concepts such as building machine learning models, utilizing robust AWS tools, and implementing generative AI processes efficiently. By the end of this course, you will confidently apply these concepts to solve real-world problems, enhancing your organization's capabilities. Join us to explore the innovative landscape of AI and machine learning, elevating your career and driving impactful solutions in your projects.

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575

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Course Fee 575
Total Fees
575 (USD)
  • Live Training (Duration : 8 Hours)
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  • Classroom Training fee on request
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for No-code Machine Learning and Generative AI on AWS

The No-code Machine Learning and Generative AI on AWS course empowers professionals to leverage AI technologies without extensive coding knowledge, ideal for those seeking to enhance their skills in artificial intelligence.


  • Data Analysts
  • Business Analysts
  • Product Managers
  • Marketing Professionals
  • IT Professionals
  • Software Developers
  • Entrepreneurs
  • Researchers
  • Educators
  • Technical Project Managers
  • Decision Makers in Technology-oriented Businesses


Learning Objectives - What you will Learn in this No-code Machine Learning and Generative AI on AWS?

Course Overview

The No-code Machine Learning and Generative AI on AWS course equips students with essential skills to leverage AWS tools for machine learning and AI without coding, enabling them to create intelligent applications efficiently.

Learning Objectives and Outcomes

  • Understand the fundamentals of machine learning and generative AI concepts.
  • Explore AWS services that facilitate no-code machine learning projects.
  • Build and deploy machine learning models using AWS SageMaker without programming.
  • Integrate pre-built AI functionalities into applications using AWS tools.
  • Gain hands-on experience with data preprocessing and exploratory data analysis.
  • Learn to evaluate model performance and interpret results effectively.
  • Understand ethical considerations and best practices in AI implementation.
  • Develop proficiency in using AWS to automate machine learning workflows.
  • Create generative AI applications using tools available on AWS.
  • Collaborate on team-based projects to implement no-code AI solutions.

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