Generative AI with AWS Training

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10 week

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.

 

  1. 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.

 

 Our Upcoming Batches

At Topskill.ai, we understand that today’s professionals navigate demanding schedules.
To support your continuous learning, we offer fully flexible session timings across all our trainings.

Below is the schedule for our Training. If these time slots don’t align with your availability, simply let us know—we’ll be happy to design a customized timetable that works for you.

Training Timetable

Batches Online/OfflineBatch Start DateSession DaysTime Slot (IST)Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri7:00 AM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri11:00 AM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri5:00 PM (Class 1-1.30 Hrs)View Fees
Week Days (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Mon-Fri7:00 PM (Class 1-1.30 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun7:00 AM (Class 3 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun10:00 AM (Class 3 Hrs)View Fees
Weekends (Virtual Online)Aug 28, 2025
Sept 4th, 2025
Sept 11th, 2025
Sat-Sun11:00 AM (Class 3 Hrs)View Fees

For any adjustments or bespoke scheduling requests, reach out to our admissions team at
support@topskill.ai or call +91-8431222743.
We’re committed to ensuring your training fits seamlessly into your professional life.

Note: Clicking “View Fees” will direct you to detailed fee structures, instalment options, and available discounts.

Don’t see a batch that fits your schedule? Click here to Request a Batch to design a bespoke training timetable.

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