Generative AI with AWS

Unlock the power of Generative AI by building real-world applications using Amazon Bedrock, SageMaker, and modern prompt engineering techniques. This hands-on program covers everything from foundation models and RAG systems to secure deployments, fine-tuning, and API integrations — all designed to make you job-ready for GenAI roles.

Type: Skillpeak
Duration: 6 Months
Students: Undergraduate
Mode: Online
Prerequisites
  • You got this! Nomadskills makes it possible - all it takes is your brain commitment, a problem-solving superpower, and a thirst for knowledge. No coding experience required!
What to expect
  • Project-Based Learning: Every module includes hands-on AWS labs, real-world use-cases, and capstone projects.
  • Industry-Ready Curriculum: Based on AWS best practices and aligned with the Generative AI lifecycle: ideation → prototyping → fine-tuning → scaling.
  • Soft Skills + Tech Mastery: Focus on documentation, team collaboration, presentation, and community engagement.
  • Career Prep Built-In: Resume reviews, mock interviews, and direct support in building a GenAI job profile.
  • Fully Cloud-Based: Everything runs on AWS: Cloud9, Bedrock, SageMaker, CodePipeline, OpenSearch, etc.
Outcomes
  • Design and deploy enterprise-grade Generative AI solutions using Amazon Bedrock and SageMaker
  • Engineer effective prompts and RAG workflows to solve real-world use cases
  • Fine-tune and optimi Engineer effective prompts and RAG workflows to solve real-world use casesze foundation models using PEFT and JumpStart
  • Secure, monitor, and scale GenAI apps in production across regions
  • Integrate GenAI into business tools and APIs with confidence
  • Prepare a GenAI career portfolio with project demos and hands-on labs
  • Collaborate, communicate and contribute to the GenAI developer ecosystem

Contents

Module 1. Self-Study Prerequisite Refresh
Module 2. Foundations
Module 3. Prompt Engineering
Module 4. RAG (Retrieval-Augmented Generation) on AWS
Module 5. Conversational AI & Agents
  • Build multistep reasoning agents connected to enterprise data systems.
Module 6. Fine-Tuning, Guardrails & Operations
  • Concepts of configuration management
  • Introduction to Ansible and its architecture
  • Installation and setup of Ansible
  • Understanding Ansible playbooks and YAML syntax
  • Ansible modules and ad-hoc commands
  • Inventory management
  • Roles and playbook organization
  • Ansible Vault for secret management
  • Ansible Galaxy and custom modules
  • Fine-tune and optimize GenAI models while ensuring safety and operational efficiency.
Module 7. Production Deployment & Capstone
  • VPC, subnets, and route tables
  • Security groups and network ACLs
  • Direct Connect and VPN
  • RDS, DynamoDB, and Aurora
  • Database backups, snapshots, and restores
  • Database migration service
  • Deploy production-grade GenAI solutions following AWS Well-Architected guidance.
Module 8. Advanced Prompt Techniques
  • Solve complex reasoning and multi-modal problems with advanced prompt engineering.
Module 9. Security & Compliance
Module 10. Scalability & Performance
Module 11. Cost Management
Module 12. Multi-Region Deployment
Module 13. API Development & Integration
Module 14. Advanced AI/ML Concepts
Module 15. Project Planning & Management
Module 16. Presentation & Communication
  • Present GenAI projects confidently to technical and business audiences.
Module 17. Community & Collaboration
  • Build a professional network and enhance collaborative development skills.
Module 18. Career Development
Module 19. Review & Feedbac
Module 20. Finalization & Wrap-Up
Course Overview
  • 20 Modules
  • 45+ Core Skills
  • 160+ Hrs Live Sessions
  • 5+ Projects
The Course Includes
  • 1:1 Mentorship
  • Networking Sessions
  • Nomadskills Certificate
Hands-on Learning
  • Quizzes and Assessments
  • Discussions and Forums
  • Case Studies and Simulations
  • Labs and Projects
Additional Benefits
  • 1:1 Mock Interview
  • Placement Support
  • Communication Skills
Tools Covered
  • 1. Core AWS Services: Amazon Bedrock
  • SageMaker
  • Cloud9
  • OpenSearch
  • S3
  • CodePipeline
  • QuickSight
  • 2. AI/ML & Prompting Frameworks :LangChain
  • Titan Models
  • Claude (Anthropic)
  • Hugging Face
  • LoRA
  • Chain of Thought (CoT)
  • Tree of Thoughts (ToT)
  • Graph Prompting
  • Prompt Guardrails
  • 3. Developer & API Tools : Boto3
  • REST API
  • Postman
  • GitHub
  • FastAPI
  • Flask
  • Jupyter Notebooks
  • Swagger
  • JSON Schemas
  • 4. Data & BI Integration
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • QuickSight
  • 5. Security & Compliance Tools :
  • Guardrails
  • Threat Modeling
  • IAM Policies
  • S3 Encryption
  • AWS Billing Analyzer
  • 6. Infrastructure, DevOps & Monitoring:
  • AWS CodePipeline
  • Artifacts
  • Throttling
  • A/B Testing
  • Multi-Region Deployment
  • CICD Workflows
  • Evaluation Scorecards
  • Monitoring Dashboards
  • Project & Agile Tools :
  • VS Code
  • Trello
  • Jira
  • Discord / Slack
  • LinkedIn