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AWS Gen AI Engineer Certification Training

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★ 4.7/5
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12 Sessions
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2 Project(s)
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AWS Gen AI Certification Training Overview

AWS Generative AI Training is a comprehensive program designed to empower professionals to design, develop, and deploy advanced generative AI solutions using the AWS AI and Machine Learning ecosystem. This course emphasizes real-world implementation, scalability, and innovation, preparing participants to leverage AWS services like Amazon Bedrock, SageMaker, and AI Agents effectively in enterprise environments.

AWS Generative AI Course Objectives

After completing this course, participants will be able to:

✔ Hands-on Learning: Design and deploy generative AI workflows using Amazon Bedrock and SageMaker
✔ Real-world Projects: Implement Gen AI applications in text generation, image synthesis, and conversational AI
✔ Enterprise-Ready Skills: Build scalable, secure, and production-grade AI solutions using AWS AI services
✔ Live Support & Mentorship: Get expert guidance from AWS-certified AI professionals and connect with global peers
✔ AI-Integrated Development: Master building AI applications with Amazon Bedrock, Titan models, and AWS AI Agents
✔ Responsible AI Practices: Apply fairness, explainability, and accountability in generative AI design
✔ Career Advancement: Prepare for roles such as Generative AI Engineer, AI Solutions Architect, and AWS GenAI Specialist

Why Choose Our AWS Gen AI Training Course?

1.) High Demand:  Over 85% of global enterprises now use AWS AI and ML services (Gartner, 2024). With AWS powering 33% of the global cloud market, certified professionals with hands-on experience in Generative AI and Bedrock are in high demand across industries.

2.) Attractive Compensation:  AWS Gen AI Engineers and AI Specialists earn top-tier salaries:

  • US: $110,000 - $160,000 per year
  • India: INR 18,00,000 - INR 32,00,000 annually

3.) Career Growth Opportunities:  With the new AWS Certified Generative AI Engineer – Professional certification, professionals can advance into high-impact roles such as AI Solutions Architect, Machine Learning Engineer, and AI Product Lead in leading organizations like Amazon, Netflix, and Deloitte.

4.) Work on Cutting-Edge Technologies:  AWS Gen AI professionals build solutions using Amazon Bedrock, Titan Models, Claude, and Anthropic integrations—enabling enterprises to automate customer service, personalize recommendations, and accelerate content generation across domains like retail, fintech, and healthcare.

5.) Future-Proof Your Career:  The global AI market is projected to reach $407B by 2027. AWS AI-related roles are growing over 38% year-over-year, offering unmatched job stability, international opportunities, and long-term career growth.

No.1

Global Cloud Provider (33% Market Share)

1M+

Companies use AWS AI & ML Services

200+

AI & Cloud Services Offered

INR 22–38 LPA

AWS Solution Architect Salary (India)

245+

Global Regions & Availability Zones

~35%

Developers Use AWS for AI Workloads

AWS Gen AI Career Scope

AWS AI Engineer
Gen AI Architect
AWS Gen AI Engineer
AWS Agentic AI Engineer
LLM Engineer
₹25 LPA
Avg package
35%
Avg hike
3,200+
Transitions
78%
Demand
Annual Salaries (₹)
₹55 LPA
Avg package
40%
Avg hike
3,200+
Transitions
75%
Demand
Annual Salaries (₹)
₹52 LPA
Avg package
38%
Avg hike
3,200+
Transitions
80%
Demand
Annual Salaries (₹)
₹27 LPA
Avg package
35%
Avg hike
3,200+
Transitions
72%
Demand
Annual Salaries (₹)
₹32 LPA
Avg package
80%
Avg hike
6,000+
Transitions
99%
Demand
Annual Salaries (₹)

Tools and Technologies Covered

Bedrock
Open Search
Kendra
LLMs
MCP Server
LLama Model
Claude
Langchain
AI Agents
Bedrock AgentCore
Github
CI/CD

AWS Gen AI Certification Training Key Features

6 Weeks of Intensive Live Training

Interactive sessions with real-time problem solving

Learn from AWS Experts

Training by globally recognized experts

Build AWS Gen AI Applications

Hands-on project for your portfolio

Career Coaching

Personalized career guidance from mentors

Resume & Portfolio Building

Expert review and portfolio enhancement

Job Assistance

Placement support with top companies

Book FREE LIVE DEMO

Course Curriculum

AWS Gen AI Foundations

Setting Up AWS Gen AI Environment

  1. Introduction to AWS Generative AI Stack
  2. Understanding Amazon Bedrock and AWS AI Services
  3. Environment Setup: AWS CLI, SDKs, VS Code extensions, Docker Desktop prerequisites

AWS Gen AI Fundamentals

  1. Strategic Role: How Bedrock powers AWS Generative AI ecosystem
  2. Core Components: Foundation Models, Agents, Guardrails, Knowledge Bases
  3. Account Management: IAM roles, permissions, and workspace setup
  4. Enterprise Readiness: Governance, compliance, cost control, and identity federation
Models & Hybrid AI

Foundation Models in Amazon Bedrock

  1. Model Catalog: Claude, Titan, Mistral, LLaMA, Command R+, Cohere, and Stability AI
  2. Model Evaluation: Latency, token pricing, context limits, and accuracy metrics
  3. Model Deployment: Provisioned vs On-Demand inference
  4. Model Lifecycle: Fine-tuning, evaluation, version control, and optimization

Hybrid AI with OSS Models

  1. Local AI Setup: Running LLaMA, Mistral, and Falcon with Docker & Hugging Face
  2. Hybrid Workflows: Combining Bedrock-hosted and self-managed OSS models
  3. Enterprise Patterns: Security, cost optimization, and data residency compliance
Intelligent Agents and Orchestration

Building Gen AI Applications

  1. SDKs & Templates: Deep dive into AWS SDKs (Python, Node.js, .NET)
  2. Amazon Bedrock Agents: Orchestrating multi-step workflows
  3. LangChain & Semantic Memory with Bedrock
  4. External Integrations: REST APIs, streaming, and error handling

Enterprise Copilot Development

  1. Copilot Design: Use cases with Amazon Bedrock Agents
  2. Retrieval-Augmented Generation (RAG): Amazon Kendra, OpenSearch, or S3-based indexes
  3. Document Pipelines: Data ingestion, embeddings, and vector storage
  4. Optimization: Context management, latency tuning, and prompt templates
Multi Agents and MCP-style Integrations

Multi-Agent Systems

  1. Agents 101: Role-based collaboration, orchestration patterns, and emerging trends
  2. Working with Amazon Bedrock Agents Framework
  3. Task Orchestration and Sub-agent Collaboration
  4. Error Recovery: Exception flows and validation agents
  5. Build a multi-agent workflow with Bedrock

Enterprise System Integration

  1. Enterprise Connectors: Integrating with AWS services (S3, RDS, DynamoDB, Redshift, QuickSight)
  2. API Gateway + Lambda: Secure extensions for Bedrock Agents
  3. Performance & Security: IAM, caching, and scaling considerations
  4. Workflow: Connect Bedrock agents with enterprise systems and APIs
Responsible AI & MLOps

Responsible AI & Monitoring

  1. Ethical AI: Bias detection, content filtering, and AWS Responsible AI guidelines
  2. LLMOps: Prompt evaluation, groundedness testing, and explainability
  3. Monitoring: CloudWatch, X-Ray, and Bedrock metrics
  4. Evaluate & Monitor: RAG-enabled enterprise copilot with metrics

Integration & DevOps for AI

  1. CI/CD Pipelines: AWS CodePipeline, CodeBuild, and GitHub Actions
  2. Automated Testing: LLM validation, regression, and integration testing
  3. Enterprise Integrations: Amazon QuickSight, Chime, or Slack
  4. Ops & Governance: Cost management, policies, and business continuity
DOWNLOAD DETAILED CURRICULUM
Project #1: Multi-Agent RAG Workflow on AWS

Designing Intelligent Workflows

  1. Introduction to Multi-Agent RAG using Amazon Bedrock
  2. Combining Retrieval and Summarization with LangChain & LangGraph
  3. Agent Collaboration for Knowledge-Driven Workflows
  4. Enhancing Contextual Reasoning using Multiple Agents
  5. Secure Integration using AWS Bedrock Agents and IAM Roles
  6. Connecting with Enterprise Systems (S3, RDS, DynamoDB, Redshift)

Deployment & Monitoring in AWS

  1. Deploying the Workflow using Amazon Bedrock & Lambda
  2. Configuring Secure Data Access and IAM Policies
  3. Setting Up Monitoring with Amazon CloudWatch and X-Ray
  4. Tracking Workflow Metrics, Logs, and Performance
  5. Optimizing Agent Coordination for Scalability and Cost Efficiency
  6. Enterprise Use Cases of Multi-Agent RAG (Support, Analytics, Insights)
Project #2: Intelligent Workplace Copilot

Enterprise Copilot Development

  1. Introduction to Generative AI Copilots on AWS
  2. Leveraging Amazon Bedrock for Enterprise-Grade Solutions
  3. Integrating Hosted Models (Claude, Titan, Command R+, Mistral)
  4. Incorporating Open-Source Models (LLaMA, Falcon in Docker)
  5. Designing Advanced RAG Workflows using Amazon Kendra or OpenSearch
  6. Multi-Agent Orchestration for Complex Enterprise Tasks

Deployment & Real-World Integration

  1. Integrating Bedrock Agents with Enterprise APIs via API Gateway & Lambda
  2. Deploying the Copilot into Slack or Amazon Chime
  3. Configuring Secure Data Access and Governance (IAM, CloudTrail, GuardDuty)
  4. Enabling Real-World Collaboration Scenarios
  5. Monitoring Performance, Latency, and User Engagement with CloudWatch
  6. Scaling the Copilot Across Multiple Business Units using ECS or EKS

Choose Training Options

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23.22 % OFF
₹36,875 ₹28,324
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5-Day Money-Back Guarantee: Our training programs are empowering thousands with expert knowledge - they will you too. If you're disappointed for whatever reason, you'll get your 100% refund. We won't make you beg or invoke any silly rules or conditions – if you're not satisfied within your first 5 days then we'll refund you without any fuss. For full details, please refer to our Refund Policy.

Course Mentors

Shailendra Chauhan
10X MICROSOFT MVP AI ARCHITECT

Shailendra Chauhan

Microsoft MVP, Founder & CEO at ScholarHat

15+ Years at Microsoft Technologies
Expert in .NET, Angular, React, Node.js
Azure Cloud & AI/ML Specialist
View Profile
Bhawna Gunwani

Bhawna Gunwani

Corporate Trainer

8+ Years Technical & Corporate Training
Expert in Microsoft Tech, React, Angular & Node
Global Training: TCS, Infosys, Accenture & More
View Profile
Vishwanathan Narayanan (VNN)

Vishwanathan Narayanan (VNN)

Mentor & Solution Architect

20 Years Solution Architecture Excellence
Expert in Java, Spring Boot & AWS Cloud
Cloud-Native Microservices Architect
View Profile

Frequently Asked Questions

Q1. Can I Attend a Demo Session before Enrolment?
Yes, you can Attend a Demo Session before Enrolment in angular certification course. It gives you the opportunity to assess whether the training program aligns with your learning objectives. So, don't hesitate! Take advantage of this opportunity and attend a demo session before making your decision.
Q2. Can I request for a support session if I need to better understand the topics?
Yes, of course you can request for a support session if you need to better understand the topics. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
Q3. Who are your mentors?
All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by ScholarHat to deliver interactive training to the participants.
Q4. What If I miss my online training class?
All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.
Q5. Can I share my course with someone else?
In short, no. Check our licensing that you agree to by using ScholarHat LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.
Q6. Do you provide any course material or live session videos?
Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.
Q7. Do you provide training on latest technology version?
Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.
Q8. Do you prepare me for the job interview?
Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.
Q9. Will I get placement assistance after receiving my course completion certificate?
Yes, you’ll get placement assistance after receiving your course completion certificate. The placement assistance provided by the US will guide you through the job search process, help you polish your resume, and connect you with potential employers. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com
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