Rahul Trisal

AWS Cloud Development Kit (CDK) - V2- Beginner to Advanced

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This comprehensive training program on AWS Cloud Development Kit (CDK) V2, designed by Rahul Trisal, offers cloud professionals and aspiring developers a clear path from beginner basics to advanced infrastructure deployment. By leveraging TypeScript, students learn how to provision robust serverless architectures including AWS Lambda, Amazon S3, DynamoDB, and API Gateway without needing extensive software engineering backgrounds. The curriculum uniquely incorporates cutting-edge generative AI capabilities through tools like AWS CodeWhisperer to accelerate CDK code generation. Participants will tackle real-world hands-on projects, such as building enterprise-grade banking and retail applications, setting up secure VPC networks, and executing multi-stack deployments. Additionally, the course delves into advanced concepts such as L1, L2, and L3 constructs, testing methodologies (including snapshot and fine-grained assertion tests), and creating fully automated CI/CD pipelines. This course is ideal for cloud architects, DevOps engineers, and system administrators looking to transition away from verbose JSON or YAML templates toward scalable, programmatic cloud infrastructure.

Generative AI on AWS - Amazon Bedrock, RAG & Langchain[2026]

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This comprehensive course offers a deep dive into building production-ready Generative AI solutions on AWS, making it highly valuable for developers, cloud architects, and tech enthusiasts. Led by Rahul Trisal, the curriculum guides learners through the core concepts of Artificial Neural Networks and Foundation Models before transitioning into practical, hands-on implementations. Students will explore Amazon Bedrock in detail, mastering its architecture, pricing models, and inference parameters. The course stands out for its practical approach, guiding you through over seven real-world use cases. These include text summarization using the Cohere foundation model, conversational chatbots built with Bedrock Converse API and Langchain, and sophisticated Retrieval Augmented Generation (RAG) applications using Claude and FAISS. Additionally, learners will gain hands-on experience deploying serverless applications using AWS Lambda, API Gateway, and Amazon Bedrock Agents. Perfect for both beginners and experienced professionals, this course bridges the gap between theoretical AI concepts and scalable cloud deployments, ensuring you can confidently design and implement cutting-edge GenAI architectures on AWS. With a dedicated focus on the latest tools like Amazon Q Business, Amazon Q CLI, and Langchain, this learning journey equips you with the in-demand skills required to build autonomous agents and secure knowledge bases, making you highly competitive in the modern tech landscape.

AWS Certified Generative AI Developer Professional (AIP-C01)

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Designed specifically for cloud architects and software engineers aiming to conquer the AWS Certified Generative AI Developer Professional (AIP-C01) certification, this comprehensive masterclass bridges the gap between theoretical artificial intelligence concepts and production-grade AWS implementations. Spearheaded by Rahul Trisal, this curriculum dives deep into the architecture, deployment, and optimization of generative AI solutions using Amazon Bedrock, AWS Lambda, and LangChain. Students will engage with over 40 hands-on labs and 60 realistic exam scenarios designed to mirror the actual certification testing environment. By exploring complex topics like Retrieval-Augmented Generation (RAG), fine-tuning foundation models, and orchestrating multi-agent AI systems, learners will master the vital trade-offs between system latency, operational cost, response accuracy, and scalability. This course is ideal for cloud professionals seeking to validate their expertise in designing secure, robust, and cost-effective generative AI applications on AWS. Whether you are seeking to elevate your technical career, master prompt engineering at scale, or secure a highly coveted industry credential, this guide provides the practical skills and architectural frameworks necessary to succeed.

Build Production Ready AI Agents on AWS-Bedrock,CrewAI & MCP

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This comprehensive course on building production-ready AI agents on AWS provides developers and cloud engineers with the practical skills needed to design, deploy, and scale advanced autonomous systems. Created by Rahul Trisal, this hands-on curriculum guides learners through the core concepts of agentic AI, including planning, tool integration, persistent memory, and multi-agent collaboration. By utilizing cutting-edge tools like Amazon Bedrock, CrewAI, and the Model Context Protocol (MCP), students will build four distinct real-world projects. These include a robust Hotel Booking Agent integrated with AWS Lambda, an Enterprise Travel Agent using multi-agent orchestration, a Vacation Planner powered by CrewAI, and an innovative Infrastructure Coding Agent utilizing the AWS CloudFormation MCP Server. This program is ideal for software engineers, AI developers, and cloud architects who want to transition from basic prompt engineering to orchestrating complex, multi-agent architectures in enterprise AWS environments. Whether you are looking to master Bedrock Knowledge Bases or integrate Python, Boto3, and Amazon Q CLI into your AI workflows, this course delivers the specialized expertise required to succeed in modern generative AI development.