Course Overview
About Course
Generative AI with AWS Training equips learners with essential and advanced skills to leverage AWS services for developing and deploying generative AI solutions. Designed for developers, data scientists, and business professionals, this course combines theoretical knowledge with practical hands-on labs, certification guidance, and comprehensive project work, enabling participants to harness AWS’s full potential for innovative AI applications.
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Course Syllabus
Module 1: Introduction to Generative AI (4 Hours)
- Basics of AI and Machine Learning
- Overview of Generative AI
- Types and applications of generative models
- Ethical implications and responsible AI practices
Module 2: AWS AI and ML Foundations (4 Hours)
- Overview of AWS infrastructure for AI
- Key AWS services: Amazon SageMaker, Rekognition, Polly, Lex
- Understanding AWS IAM for AI security and compliance
Module 3: Amazon Bedrock Essentials (4 Hours)
- Introduction to Amazon Bedrock
- Setting up and managing Bedrock environments
- Deploying foundation models in Bedrock
- Integration with AWS ecosystem
Module 4: Building Generative AI Models with AWS SageMaker (6 Hours)
- SageMaker Studio overview
- Model training and tuning
- Deployment and monitoring
- SageMaker pipelines and automation
Module 5: AWS CodeWhisperer and AI-Assisted Development (4 Hours)
- Introduction to AWS CodeWhisperer
- Integration with IDEs
- Real-time code generation and debugging
- Best practices and ethical coding
Module 6: Advanced Generative AI Techniques (6 Hours)
- Transformers and large language models
- Fine-tuning models for domain-specific tasks
- Handling bias, fairness, and transparency
Module 7: Generative AI Project Implementation (8 Hours)
- Project ideation and planning
- End-to-end AI solution development
- Deployment strategies on AWS
- Performance optimization and monitoring
Module 8: Certification Preparation and Exam Guidance (4 Hours)
- Overview of relevant AWS AI certifications
- Exam structure and preparation strategies
- Mock exams and review sessions
Key Features
- Hands-on Labs: Practical sessions using Amazon Bedrock, SageMaker, and other AWS AI services.
- Comprehensive Curriculum: Beginner to advanced content covering foundational models, transformers, ethical AI, and more.
- Project-Based Learning: Real-world scenario-driven projects.
- Certification Preparation: Aligned with AWS AI-related certifications.
- Interactive Delivery: Instructor-led online sessions and self-paced materials.
- Expert Trainers: Sessions conducted by certified AWS and AI experts.



