AWS Generative AI Developer Professional
capability building,
designed for your organisation.
A custom-built corporate programme for AWS-certified developers, ML engineers, cloud engineers, solution architects, and senior software engineers (3+ years on AWS) pursuing a career as an AWS generative AI developer building production GenAI applications on Amazon Bedrock and the broader AWS AI portfolio. We design the curriculum around your tech stack, project archetypes, and target business outcomes — delivered by domain-expert trainers and reinforced through AI-evaluated assessments.
A modular syllabus, built to be tailored.
Below is our reference curriculum. Every syllabus we deliver is tailored to your customer-specific requirements module depth, sequencing, lab environments, and capstone projects are adapted to your team's starting point, tech stack, and target outcomes.
- AWS AI services portfolio: SageMaker, Bedrock, Q, Comprehend, Textract, Transcribe, Polly, Translate, Rekognition
- Amazon Bedrock training foundations Bedrock vs SageMaker for GenAI: when to use which
- AIF-C01 certification training: domains, weights, and question patterns
- AWS GenAI specialty (where launched): exam map and preparation strategy
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Enterprise learning solutions built for corporate teams.
Go beyond standard classroom delivery with enterprise-ready learning infrastructure, managed execution, capability insights, and production-like practice environments designed for corporate scale.
Enterprise Command Center (LMS+)
Managed Batches (End-to-End Execution)
Capability Audits (Pre-Training Intel)
Custom Chaos Sandboxes
Demonstrable skills your team will apply on live projects.
Architect production GenAI on AWS
Amazon Bedrock training mastery covering Knowledge Bases, Agents, IAM, VPC, observability, and cost governance for enterprise-grade deployments.
Build agents on Amazon Bedrock Agents course deliverables
Multi-step Bedrock Agents with action groups, AWS Knowledge Bases training integration, guardrails, and session management.
Implement enterprise RAG via AWS Knowledge Bases training
Bedrock Knowledge Bases with OpenSearch Serverless, Aurora pgvector, or Pinecone production-grade hybrid search and re-ranking included.
Pass AIF-C01 certification training exam
Cohort first-attempt pass rate of 87% on AIF-C01 certification training; eligible for AWS GenAI specialty when live.
Ship AWS GenAI capstone
Production-grade AWS generative AI developer project with full observability, cost governance, and panel sign-off.
Move into AWS GenAI engineer role competitive salary
Equipped for AWS generative AI developer roles at AWS partners, IT services, and enterprise cloud teams AWS GenAI engineer salary India ranges from ₹18 LPA to ₹45 LPA at this skill level.
Where your team is now vs where they'll be after the programme.
Where most teams start
- ·AWS-certified at Solutions Architect or Developer Associate level but no Amazon Bedrock training experience
- ·Limited fluency with AWS GenAI-specific services: Bedrock, AWS Knowledge Bases training, Amazon Bedrock Agents course content, Amazon Q Developer course concepts
- ·Cannot architect production GenAI on AWS with IAM, VPC, or observability controls in place
- ·No AIF-C01 certification training or AWS GenAI specialty exam preparation
- ·Unfamiliar with AWS-specific patterns: PartyRock, Bedrock Studio, and Bedrock Guardrails
- ·Limited fluency with the AWS LLM model catalog: Anthropic Claude, AI21, Cohere, Meta Llama, Amazon Titan/Nova across Bedrock
Where they'll arrive
- ✓AWS Bedrock training mastery model deployment, fine-tuning, custom models, Amazon Bedrock Agents course skills, and AWS Knowledge Bases training
- ✓AWS GenAI fluency Amazon Q Developer course, Q Business, Q Apps, PartyRock, and Bedrock Studio
- ✓Production architecture VPC, IAM, KMS, CloudWatch, and CloudTrail integration for GenAI workloads as a qualified AWS generative AI developer
- ✓Multi-model selection Anthropic Claude, AI21, Cohere, Meta Llama, Amazon Titan/Nova via AWS Bedrock training environments
- ✓Cost and latency optimisation Bedrock prompt caching, batch inference, and provisioned throughput decisions
- ✓AIF-C01 certification training complete passes AWS Certified AI Practitioner; eligible for AWS GenAI specialty when launched
Built for L&D outcomes, not seat counts.
AWS Bedrock training depth, not demos
Learners move from console exploration to production-grade AWS Bedrock training deploying models, configuring VPCs, wiring IAM, and governing cost.
Reusable enterprise-grade assets
The programme produces Bedrock Agent definitions, AWS Knowledge Bases training configurations, and prompt templates teams can govern and scale immediately.
Amazon Bedrock Agents course labs
The Amazon Bedrock Agents course labs focus on real enterprise scenarios document Q&A, operations automation, and multi-agent orchestration not toy examples.
AWS GenAI engineer salary justified by output
Learners leave as a credentialled AWS generative AI developer with capstone evidence that justifies the AWS GenAI engineer salary India market commands.
AIF-C01 certification training built in
Every module maps to AIF-C01 certification training domains. Exam prep is woven throughout, not bolted on 87% first-attempt pass rate confirms the approach.
AWS GenAI specialty readiness
Programme content maps to the AWS GenAI specialty exam where live, giving enterprise teams a structured pathway from AIF-C01 certification training to advanced specialty credentials.
A four-milestone path from skill gap to client-ready.
AWS GenAI landscape & Bedrock foundation
Establish a working mental model of the AWS AI portfolio, Amazon Bedrock training concepts, AIF-C01 certification training domains, model selection trade-offs, and the AWS generative AI developer role in enterprise teams.
AWS Knowledge Bases training & Amazon Bedrock Agents course labs
Learners complete hands-on AWS Knowledge Bases training with hybrid RAG pipelines, and progress through the Amazon Bedrock Agents course building multi-step agents with real action groups.
Amazon Q Developer course, custom models & production ops
Each learner completes the Amazon Q Developer course modules, fine-tunes a model on Bedrock, and hardens their application with IAM, VPC, CloudWatch observability, and cost governance.
AIF-C01 certification training sprint & capstone
Targeted AIF-C01 certification training sprint with scored practice exams, AWS GenAI specialty readiness review, and capstone demonstration to a panel of AWS Practice leads and an invited AWS Partner architect.
Want this curriculum aligned to your tech stack and project archetypes?
Why enterprise teams choose the B2B engagement model.
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to discuss the future of AI, digital transformation, and workforce readiness.
- Exclusive AI leadership summits featuring enterprise decision-makers and technology experts
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- Trusted by organizations to build future-ready teams with practical, industry-focused learning
- Real conversations, real business challenges, and actionable AI transformation insights from industry leaders
Learn from domain experts with 15+ years of experience.
"AI transformation is not just about adopting new tools it’s about helping organizations build intelligent systems, scalable workflows, and future-ready teams that can innovate with confidence."
Taught by people who've actually shipped the work.
Built for L&D leaders and their learners.
Who this is for
- ·AWS-certified developers and cloud engineers seeking structured Amazon Bedrock training to build production GenAI applications
- ·ML engineers and solution architects who want hands-on Amazon Bedrock Agents course and AWS Knowledge Bases training experience
- ·Software engineers targeting the AWS generative AI developer career path and the associated AWS GenAI engineer salary India market offers
- ·Enterprise teams that need AIF-C01 certification training and AWS GenAI specialty readiness delivered as a cohort programme
- ·Organisations seeking a benchmark-validated AWS Bedrock training partner for enterprise-wide capability building
Pre-requisites
- ·AWS-certified at Solutions Architect Associate or Developer Associate level foundational AWS Bedrock training builds directly on this
- ·3+ years hands-on AWS experience with IAM, VPC, Lambda, and S3 prerequisites for Amazon Bedrock Agents course labs
- ·Basic Python or SDK familiarity required for AWS Knowledge Bases training ingestion and Bedrock API labs
- ·Enterprise cohorts should align on AIF-C01 certification training exam scheduling before programme kick-off to optimise the preparation sprint
Trusted by L&D leaders across the world.
Questions L&D teams ask before signing.
Amazon Bedrock provides managed access to foundation models and GenAI APIs, while Amazon SageMaker is a full ML platform for building, training, tuning, and deploying custom machine learning models.