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Generative AI Essentials on AWS

Live Online (VILT) & Classroom Corporate Training Course

This advanced course introduces generative AI to software developers, covering Amazon Bedrock, prompt engineering, and application architecture. Learn to build and test generative AI applications using AWS and LangChain.

Expert-Led VILT & Classroom Hands-On CloudLabs Certification Voucher Available
AWS
CloudLabs
Projects
Assessments
24/7 Support
Lifetime Access

Overview

This foundational course introduces the core principles, technologies, and real-world applications of generative AI using AWS services. Learners will gain clarity on where generative AI fits into the modern business landscape and how to implement it responsibly and effectively across use cases.

Objectives

By the end of this course, leaner will be able to:

  • Summarize key generative AI concepts, methods, and strategies
  • Understand responsible and safe use of generative AI and ML technologies
  • Identify appropriate generative AI use cases and solutions
  • Discuss foundational model selection and prompt engineering best practices
  • Plan and evaluate generative AI project implementation within an organization

Prerequisites

No prior experience with generative AI is required. This course is suitable for beginners and non-technical professionals across: | Business analysis. IT support. Marketing. Sales. Product/project management. Line-of-business or IT management

Course Outline

  • Definition and foundations
  • AWS generative AI services
  • Demo: Generative AI solution

  • Identify suitable use cases
  • Generative AI applications and use cases
  • Explore generative AI use case scenarios
  • Use case for class

  • Introduction to prompt engineering
  • Prompt design best practices
  • Advanced prompting strategies
  • Model settings and parameters
  • Hands-on Lab: Optimizing Slogan Generation with Amazon Bedrock

  • Introduction to responsible AI
  • Core dimensions of responsible AI
  • Generative AI considerations
  • Hands-on Lab: Implementing Responsible AI Principles with Amazon Bedrock Guardrails

  • Security overview
  • Adverse prompts
  • Generative AI security services
  • Governance
  • Compliance

  • Introduction – Generative AI application
  • Define a use case
  • Select a foundational model
  • Improve performance
  • Evaluate results
  • Deploy the application
  • Demo: Amazon Q Business

  • Introduction
  • Hands-on Lab: Capstone – Creating a Project Plan with Generative AI

  • Next steps and additional resources
  • Course summary

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

Client Stories

What our clients say

Voices from L&D leaders, architects, and program managers who’ve trusted us with their upskilling.