The Generative AI Essentials on AWS course is designed to provide learners with a foundational understanding of generative artificial intelligence and its implementation using Amazon Web Services. This beginner-friendly course introduces essential AI concepts such as neural networks, generative models, and the tools and services AWS provides to develop, train, and deploy generative AI solutions.

Whether you’re seeking to innovate in content creation, streamline business processes, or simply expand your technical skills, this course offers the knowledge and practical experience necessary to harness the potential of generative AI on the cloud.

The course covers key areas such as:

• Foundations of Generative AI: Learn core principles, including how generative models such as GANs and VAEs function.
• AWS Environment Setup: Configure AWS accounts and prepare the environment for building and training generative models.
• AWS AI and ML Services: Work with services like Amazon SageMaker, Rekognition, and Bedrock to build generative AI pipelines.
• Model Development and Training: Learn how to build, fine-tune, and evaluate generative AI models on AWS.
• Security and Compliance: Implement best practices for securing AI models and maintaining compliance with regulations.
• Model Deployment: Deploy trained generative models into production environments for content generation or automation use cases.
• Ethical AI and Bias Mitigation: Explore ethical implications, fairness, and bias detection in generative models.
• Real-World Applications: Understand how generative AI is used in different industries such as media, e-commerce, education, and healthcare.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

• Basic understanding of cloud computing and AWS core services
• Familiarity with concepts of machine learning and artificial intelligence
• Comfort with web-based user interfaces (AWS Console)
• Introductory experience with Python programming (recommended but not mandatory)
• Curiosity and interest in AI-powered content generation and automation

These prerequisites enable learners from both technical and non-technical backgrounds to confidently engage with the course materials.

Target Audience

The Generative AI Essentials on AWS course is ideal for professionals and learners aiming to gain practical knowledge of implementing generative AI using AWS, including:

• Data Scientists
• Machine Learning Engineers
• AI Developers
• Cloud Engineers
• IT Managers
• Software Engineers
• Business Analysts
• Product Managers
• Digital Transformation Specialists
• DevOps Engineers
• Technical Sales Professionals
• Students in IT or AI disciplines
• Researchers and Academics
• Tech Entrepreneurs

Why Choose us

⭢ Live Online Training (Duration : 8 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the Generative AI Essentials on AWS course, learners will be able to:

• Understand the core concepts of generative AI and its applications.
• Set up and configure AWS resources for running generative AI workloads.
• Identify and utilize appropriate AWS services such as SageMaker and Rekognition for model development.
• Build, train, and evaluate generative AI models using real datasets.
• Apply ethical AI principles and address bias in model training.
• Deploy generative models for real-time or batch content generation tasks.
• Integrate generative AI into practical business solutions across different domains.
• Secure AI environments and ensure compliance with industry standards.
• Monitor and fine-tune deployed models for optimal performance.
• Gain confidence in using AWS to lead AI-driven innovation in their organizations.