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Self-paced · learn on your own schedule

AWS AI & Agents Development Course

Build and deploy GenAI applications and AI agents with AWS, Amazon Bedrock, RAG, MCP, and agentic workflows.

Google 4.6/5 on Google ScholarHat 4.7/5 from learners 12 learners enrolled

Tools and Technologies Covered

AWSAWS
SageMakerSageMaker
BedrockBedrock
OpenSearchOpenSearch
RekognitionRekognition
TextractTextract
PollyPolly
PersonalizePersonalize
OpenAIOpenAI
GPTGPT
LLMsLLMs
LlamaLlama Model
LangChainLangChain
Bedrock AgentCoreBedrock AgentCore
AI AgentsAI Agents
MCP ServerMCP Server
DockerDocker
KubernetesKubernetes
GitHub CopilotGitHub Copilot
CI/CDCI/CD

Where this takes your career

Companies hiring AWS AI & Agents developers

Microsoft Amazon IBM Accenture Cognizant Google
0-1 yr

Junior AWS AI Developer

Building AI applications with AWS AI services, foundation models and APIs for real-world solutions.

1-3 yr

AWS AI Developer

Developing generative AI applications, RAG solutions and intelligent agents using AWS AI services.

3-5 yr

Senior AI Engineer

Designing scalable AI architectures, RAG pipelines, agent workflows and production-ready AWS solutions.

5+ yr

AWS AI Solutions Architect

Leading enterprise AI architecture, agentic solutions, cloud integration and scalable AWS AI implementations.

Why AWS AI & Agents Development matters?

Build intelligent AI applications and agents with AWS AI services.

AWS AI Services

Build intelligent applications using AWS AI services, foundation models and APIs for real-world solutions.

AWS AI · APIs · Models
In demand

AI Agent Development

Create intelligent AI agents using AWS services, tools, knowledge and reasoning to automate real-world tasks.

AI Agents · Tools · Automation

Generative AI & RAG

Build generative AI solutions with Amazon Bedrock, foundation models, RAG and enterprise data.

Bedrock · RAG · LLMs

Production-Ready AI Apps

Develop scalable AI applications with AWS APIs, prompt engineering, agents and secure cloud deployment.

APIs · Prompts · Deployment

Who this course is for

  • Students Starting a career in AWS AI Final-year students and fresh graduates
  • AWS developers Adding AI and agent capabilities AWS and cloud developers
  • AI developers Building GenAI, RAG and AI agents Developers exploring Generative AI
  • Career growth Preparing for AWS AI & Agent roles Working developers and career switchers

See what learning looks like on ScholarHat

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lab brief screen on ScholarHat
lab steps screen on ScholarHat
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notes screen on ScholarHat
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Curriculum — 5 Modules

AWS AI & Agents Development Course · Open a module to explore lessons, labs & tests.

113 videos 5 labs 13 notes 16 Q&A Guides

Introduction
AWS SDK 0:05:36
AWS Account Setup 0:09:41
AWS SDK 0:05:36
AWS Account Setup 0:09:41
NLP
Amazon Comprehend UI 0:03:58
Amazon Comprehend Pricing 0:05:14
Sentiment Analysis 0:04:43
DEMO: Sentiment Analysis (Python) 0:17:35
Demo-Sentiment Analysis (.NET) 0:23:03
Named Entities 0:02:26
DEMO: Named Entities (Python) 0:07:30
Demo-Named Entities (.NET) 0:06:28
DEMO: PII (Python) 0:07:11
Demo-PII (.NET) 0:05:31
Multilingual Support 0:03:11
DEMO: Translation (Python) 0:06:13
Demo-Translation (.NET) 0:11:16
Demo-Text Moderation (.NET) 0:09:48
Comprehend Custom Classifier 0:10:28
Demo-Comprehend Custom Classifier (Python) 0:00:00
Demo-Comprehend Custom Classifier (Net) 0:17:13
Demo-Cleaning Custom Resources 0:01:48
Amazon Comprehend UI 0:03:58
Amazon Comprehend Pricing 0:05:14
Sentiment Analysis 0:04:43
DEMO: Sentiment Analysis (Python) 0:17:35
Demo-Sentiment Analysis (.NET) 0:23:03
Named Entities 0:02:26
DEMO: Named Entities (Python) 0:07:30
Demo-Named Entities (.NET) 0:06:28
DEMO: PII (Python) 0:07:11
Demo-PII (.NET) 0:05:31
Multilingual Support 0:03:11
DEMO: Translation (Python) 0:06:13
Demo-Translation (.NET) 0:11:16
Demo-Text Moderation (.NET) 0:09:48
Comprehend Custom Classifier 0:10:28
Demo-Comprehend Custom Classifier (Python) 0:00:00
Demo-Comprehend Custom Classifier (Net) 0:17:13
Demo-Cleaning Custom Resources 0:01:48
Amazon Transcribe
Amazon Speech 0:03:58
Amazon Transcribe 0:04:07
Demo-Amazon Transcribe (Python) 0:13:06
Amazon Speech 0:03:58
Amazon Transcribe 0:04:07
Demo-Amazon Transcribe (Python) 0:13:06
Amazon Polly
Amazon Polly 0:02:46
Amazon Polly UI 0:02:43
Demo-Amazon Polly (Python) 0:08:02
Demo-Amazon Polly Realtime (Python) 0:13:09
Demo-Amazon Polly Realtime (.NET) 0:19:54
Demo-Amazon Polly Translation (Python) 0:06:53
Demo-Amazon Polly Translation (.NET) 0:11:26
Amazon Polly 0:02:46
Amazon Polly UI 0:02:43
Demo-Amazon Polly (Python) 0:08:02
Demo-Amazon Polly Realtime (Python) 0:13:09
Demo-Amazon Polly Realtime (.NET) 0:19:54
Demo-Amazon Polly Translation (Python) 0:06:53
Demo-Amazon Polly Translation (.NET) 0:11:26

Computer Vision: Image Analysis
Amazon Recognition Pricing 0:02:33
Amazon Rekognition Built-In Features 0:04:38
Image Analysis 0:01:23
DEMO: Image Analysis (Python) 0:21:04
Demo-Image Analysis (.NET) 0:23:10
Object Detection 0:02:04
DEMO: Object & Person Detection (Python) 0:13:30
OCR 0:02:34
DEMO: OCR (Python) 0:08:23
DEMO: OCR (.NET) 0:08:56
Computer Vision: Faces, Video & Celebrity
Face Analysis 0:03:39
DEMO: Face Analysis (Python) 0:11:29
Demo-Face Analysis (.NET) 0:09:06
Video Analysis 0:04:43
DEMO: Video Analysis (Python) 0:11:34
Demo-Video Analysis (.NET) 0:08:36
Celebrity Recognition 0:01:44
DEMO: Celebrity Recognition (Python) 0:06:46
Demo-Celebrity Recognition (.NET) 0:05:45
Content Safety-Moderation 0:03:03
Demo-Image Moderation (Python) 0:09:07
Demo-Image Moderation (.Net) 0:08:28
Rekognition Custom Labels 0:13:14
Demo-Rekognition Custom Labels (Python) 0:10:44
Demo-Rekognition Custom Labels (Net) 0:14:57
Resource Cleanup 0:02:14

Amazon Bedrock & Models
Types of AI Models 0:03:58
Browsing Amazon Bedrock Models 0:09:17
Foundational Models APIs 0:02:49
Bedrock API Demos
Demo-Converse API (Python) 0:14:09
Demo-InvokeAPI (python) 0:08:38
Amazon Bedrock Mantle & SDK Demos
Demo- OpenAI SDK with Mantle 0:11:21
Demo- Anthropic SDK with Mantle 0:04:47
Agent Core & Architecture
Agent Core Architecture 0:03:39
Agent Core Dashboard 0:04:04
Harness vs AgentCore 0:06:02
Demo-Creating Harness 0:06:31
AgentCore SDK, Deployment & Access
Demo-Creating Agent Using CLI 0:09:51
Demo-Creating Your Own Agent 0:24:12
Deploying Agent to AWS AgentCore 0:08:23
Accessing Deployed Agent 0:06:17

OUR ALUMNI WORK AT

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24 Months access · one-time payment

  • Videos
  • Quick Notes
  • Q&A Guides
  • Labs
5-day money-back guarantee
Most popular

Pro

50% off
₹3,499 ₹6,998

24 Months access · one-time payment

  • Videos
  • Quick Notes
  • Q&A Guides
  • Labs
5-day money-back guarantee
Trusted by 2,00,000+ developers, tech leads and architects Taught by Microsoft MVPs and solution architects
Self-paced membership

Learn at your own pace, everything in one membership

Videos, labs, skill tests and Q&A guides across the self-paced courses.

Explore self-paced membership

5-day money-back guarantee

.NET AI + Cloud Pro Membership
Starting at
₹9,999 ₹19,998 50% off

6 Months access · about ₹1,666 a month

  • Recorded video lessons for every course
  • Real hands-on labs and real-world projects
  • Skill tests, quick notes and interview Q&A guides
  • Certificate on completion
Why learners choose ScholarHat

ScholarHat Self-Paced vs. scattered free tutorials

The videos are free everywhere. What you're actually paying for is the structure, the practice, and the proof that you finished.

5 Guided Modules Not scattered videos
5 Hands-on Labs Not watch-only
0 Skill Tests Certificate on completion
16 Interview Q&A Guides Not on your own

Hear it from our learners

Real stories from people who trained with ScholarHat.

Watch all reviews

Frequently asked questions

Online Self Paced Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs, and Assignments designed to enhance learning outcomes, all at times that are most convenient for you.

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.

As soon as you enroll in the course, you will get access to the course content through LMS (The Learning Management System) in the form of a complete set of Videos, PPTs, PDFs, and Assignments. You can start learning right away.

You can enroll in the course by doing payment. Payment can be made using any of the following options.
  1. Visa debit/credit card
  2. Net banking
  3. Through PayPal

Yes, Dot Net Tricks provides student discount to learners who cannot afford the fee. Email us from your student account, or attach your student ID.

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.

Please drop us an email with a list of user details like name, email you’d like to enroll and have access, we'll create your team accounts.

Yes, we do. As the technology upgrades your content gets updated at no cost.

You can give us a CALL at +91 113 303 4100 OR email us at enquiry@dotnettricks.com

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