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Developing Generative AI Applications 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
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Overview

Developing Generative AI Applications on AWS  is a two-day advanced course designed for software developers interested in leveraging large language models without fine-tuning. This course provides an in-depth understanding of generative AI, project planning, prompt engineering, and building generative AI applications using Amazon Bedrock and LangChain.

Objectives

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

  • Describe generative AI and its alignment with machine learning.
  • Identify business value and use cases for generative AI.
  • Plan a generative AI project, understanding its steps, risks, and mitigations.
  • Implement and demonstrate Amazon Bedrock in the AWS Management Console.
  • Apply advanced prompt engineering techniques to specific models and use cases.

Prerequisites

AWS Technical Essentials. Intermediate-level proficiency in Python. Basic understanding of machine learning concepts. Familiarity with cloud computing fundamentals. Previous experience with AWS services.

Course Outline

  • Overview of ML and basics of generative AI
  • Generative AI use cases and practical applications
  • Risks and benefits

  • Fundamentals, context, and steps
  • Risk management and mitigation strategies

  • Introduction, architecture, and use cases
  • Demonstration: Setting up Bedrock access and using playgrounds

  • Basics and advanced techniques
  • Model-specific prompt techniques and bias mitigation
  • Demonstration: Fine-tuning a basic text prompt

  • Overview of application components, RAG, and model fine-tuning
  • Securing generative AI applications
  • Demonstration: Word embeddings

  • Introduction, inference methods, data protection, and auditability
  • Demonstration: Zero-shot text generation

  • Integrating AWS and LangChain
  • Optimizing LLM performance and constructing prompts
  • Demonstration: Bedrock with LangChain using contextual prompts

  • Text summarization, question answering, chatbots, and code generation
  • Demonstration: Various generative AI applications with Amazon Bedrock and LangChain

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.