Rahul Trisal

    AWS Certified Generative AI Developer Professional (AIP-C01)

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    Generative AI · Online Course

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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.

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    Rahul Trisal

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    AI

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    Rahul Trisal is a dedicated cloud computing and artificial intelligence educator who specializes in bridging the gap between complex AWS architecture and practical, production-grade generative AI implementation. With a sharp focus on modern engineering paradigms, Rahul creates comprehensive technical curricula designed to empower developers to transition from theoretical understanding to hands-on deployment. His teaching philosophy centers on the integration of cutting-edge tools, such as Amazon Bedrock, LangChain, and CrewAI, into scalable workflows that solve real-world business challenges. By emphasizing architectural best practices, including the use of the AWS Cloud Development Kit (CDK), Rahul ensures his students do not just write…Show more

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    Program Overview

    Online Course

    Learning format

    Generative AI

    Subcategory

    $24.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Design and implement high-performing Retrieval-Augmented Generation (RAG) pipelines using Amazon Bedrock and vector databases.
    • Architect autonomous AI Agents on AWS utilizing Amazon Bedrock Agents, LangChain, and AWS Lambda functions.
    • Evaluate and optimize trade-offs between model latency, context length, response accuracy, and operational cost across different Foundation Models.
    • Apply fine-tuning, instruction tuning, and prompt engineering best practices safely inside secure AWS VPC environments.
    • Secure generative AI applications using AWS IAM, Amazon Guardrails for Bedrock, and data encryption methodologies.
    • Analyze over 60 real-world exam scenarios to master the AWS decision-making framework required for the AIP-C01 certification.

    Best For

    • AWS cloud architects and software engineers preparing for the AIP-C01 certification exam.
    • Developers looking to integrate Amazon Bedrock and LangChain into production-grade AI solutions.
    • Cloud professionals seeking hands-on experience in building secure, scalable RAG architectures on AWS.
    • Technical leads tasked with managing cost, latency, and performance trade-offs in generative AI pipelines.

    Not For

    • Complete beginners with no prior knowledge of cloud computing or AWS infrastructure fundamentals.
    • Non-technical stakeholders or managers who require a high-level overview rather than hands-on engineering skills.
    • Developers focused exclusively on proprietary non-AWS AI platforms or local, non-cloud deployment models.

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