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Amazon Bedrock for Generative AI-DigiSafari

The 'Amazon Bedrock for Generative AI-DigiSafari' course equips software developers with practical skills to design, build, and deploy generative AI applications using Amazon Bedrock, solving the critical industry challenge of integrating foundation models without fine-tuning. With 75% of enterprises now prioritizing AI-driven automation, this training enables developers to rapidly prototype secure, scalable solutions using Retrieval Augmented Generation (RAG), LangChain integration, and prompt engineering best practices.

Prepares for the AWS Certified Machine Learning - Specialty certification, this course includes 30-day lab access for hands-on practice with Amazon Bedrock APIs, knowledge bases, and agentic workflows. Learners gain real-world experience in model customization and evaluation, empowering them to lead AI innovation in cloud environments.

24 Hours (3 Days)
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0+ professionals trained

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Course Overview

The Amazon Bedrock for Generative AI-DigiSafari course by AWS is designed for software developers and cloud engineers seeking to build production-grade generative AI applications using Amazon Bedrock. While not tied to a specific certification exam code, this training aligns closely with the skills measured in the AWS Certified Generative AI Developer - Professional certification, preparing learners for advanced roles in AI development. Targeted at developers, machine learning engineers, and DevOps professionals, the course addresses the growing industry demand where 1 in 4 technology jobs now require AI skills, according to the Wall Street Journal. With 73% of Fortune 500 companies leveraging AWS and 68% actively piloting generative AI solutions, this course equips professionals with in-demand expertise to design scalable, secure, and business-aligned AI systems.

Participants will gain hands-on experience with core AWS services including Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon Q Developer, AWS Lambda, Amazon S3, and Amazon CloudWatch. The lab environment is delivered through the AWS Management Console and locally run Jupyter notebooks, where students build real-world applications using Python and the Amazon Bedrock Runtime APIs. A key hands-on component involves implementing a Retrieval Augmented Generation (RAG) workflow by creating a knowledge base, integrating it with a foundation model, and deploying an AI agent to deliver context-aware responses. Learners also configure guardrails for responsible AI, design prompt templates using LangChain, and automate workflows using Amazon Bedrock Agents, simulating enterprise-level deployment scenarios.

This course prepares developers for the AWS Certified Generative AI Developer - Professional credential, a highly recognized certification that validates advanced expertise in deploying generative AI solutions on AWS. Certified professionals can expect significant career advancement, with mid-level roles averaging $145K–$190K and senior positions reaching $245K+, according to industry salary benchmarks. Koenig Solutions enhances the learning experience with Guaranteed-to-Run batches and 1-on-1 training, ensuring personalized attention and official AWS courseware delivery. Upon completion, professionals will be equipped to lead generative AI initiatives, optimize model performance, and drive innovation in AI-powered application development across enterprise environments.

What You'll Learn

Describe generative AI and how it aligns with machine learning, highlighting its role in creating advanced AI models
Plan generative AI projects with effective risk mitigation strategies to ensure successful deployment
Configure Amazon Bedrock access and utilize Bedrock Playgrounds for developing generative AI solutions
Apply prompt engineering techniques to optimize Amazon Bedrock foundation models for better outputs
Implement Retrieval-Augmented Generation (RAG) architectures using Amazon Bedrock Knowledge Bases to enhance AI accuracy
Design LangChain applications with Amazon Bedrock agents to build scalable, intelligent workflows

Skills You'll Gain

Generative AI Amazon Bedrock Prompt Engineering RAG Implementation LangChain Integration AWS Lambda Functions Amazon Bedrock Agents Knowledge Base Development Foundation Model Selection Retrieval Augmented Generation AI Agent Orchestration Amazon Bedrock Guardrails Model Fine-tuning Converse API Streaming Responses Context Management Responsible AI Implementation

Prerequisites

Recommended knowledge before taking this course
  • Completion of AWS Technical Essentials or equivalent experience with core AWS services, specifically AWS IAM for managing permissions and Amazon S3 for data storage, is essential for understanding Amazon Bedrock for Generative AI-DigiSafari. Intermediate proficiency in Python programming is required to develop and customize generative AI solutions using the platform. Knowledge of RESTful APIs and HTTP methods is necessary for integrating web services with Amazon Bedrock applications. Familiarity with foundational machine learning concepts and terminology is required to effectively leverage the platform in AI projects. Experience working with Large Language Models in application development is crucial for deploying Amazon Bedrock solutions. Understanding of prompt engineering techniques, including zero-shot and few-shot learning, is needed to optimize outputs with the platform. Amazon Bedrock for Generative AI-DigiSafari by AWS is a powerful platform that simplifies building and deploying generative AI models. With AWS reporting that thousands of customers are already using Amazon Bedrock to build generative AI applications, mastering this platform can significantly boost your career. This course prepares you to harness the capabilities of Amazon Bedrock, enabling you to create innovative AI applications faster and more efficiently. By mastering these prerequisites, you will be fully equipped to complete the final certification project and deploy production-ready generative AI solutions.
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Certification Exam

Everything you need to know about the Amazon Bedrock for Generative AI-DigiSafari certification exam

Exam Details
Exam Name
Amazon Bedrock for Generative AI-DigiSafari
Exam Cost
$300
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates must wait 14 days before retaking the exam. There is no limit on the number of attempts, but each attempt requires payment of the full exam fee.
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Amazon Bedrock for Generative AI-DigiSafari

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Amazon Bedrock for Generative AI-DigiSafari
Core machine learning concepts Generative AI fundamentals explained Real-world generative AI applications Evaluating generative AI risk profiles Amazon Bedrock platform overview Bedrock architecture and deployment patterns Configuring secure Bedrock access Testing models in Bedrock playgrounds
2
Day 2– Advanced Prompt Engineering and Architecture
Prompt engineering design principles Advanced prompt optimization techniques Executing zero-shot and few-shot tasks Optimizing model-specific prompt strategies Reducing bias in AI outputs Managing datasets and vector embeddings Implementing Retrieval Augmented Generation (RAG) Designing scalable generative AI architectures
3
Day 3– AWS Foundation Models and LangChain Integration
AWS foundation model capabilities Invoking models with precise prompts Tuning Amazon Bedrock inference parameters Ensuring data protection and auditability Integrating LangChain with Amazon Bedrock Building complex prompts using LangChain Sequencing components with LangChain chains Managing memory via LangChain agents
4
Day 4– Building Generative AI Application Patterns
Summarizing text with Amazon Titan Deploying intelligent question answering Developing chatbots with Amazon Bedrock Automating code generation workflows Advanced LangChain agents for Bedrock Converse API integration demonstration Securing enterprise generative AI apps Overview of model fine-tuning processes
5
Day 5– Strategic Planning and Responsible AI
Planning successful generative AI projects Mapping high-value business use cases Analyzing generative AI project context Developing robust risk mitigation plans Adopting responsible AI industry practices Deploying Amazon Bedrock security guardrails Measuring and evaluating model performance Optimizing end-to-end AI workflows

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

82%

of Amazon Bedrock for Generative AI-DigiSafari certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Amazon Bedrock for Generative AI-DigiSafari certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Generative AI Engineer
  • AWS Bedrock Specialist
  • Machine Learning Engineer - Generative AI
  • AI Solutions Architect
  • Prompt Engineer
  • Cloud AI Developer

Companies Hiring

5,000+
Amazon Accenture Deloitte Capgemini IBM Salesforce Adobe JP Morgan Chase Goldman Sachs TCS

and 5,000+ organizations worldwide seeking Amazon Bedrock for Generative AI-DigiSafari certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

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    Security Analyst

    SC-300 Certified ✓ Verified
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    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
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    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Amazon Bedrock for Generative AI-DigiSafari training course

Is the AWS certification exam included in the Amazon Bedrock for Generative AI-DigiSafari course, and what is the exam fee?
The certification exam is not included in the Amazon Bedrock for Generative AI-DigiSafari course fee. You must register separately. The AWS Certified Generative AI Developer - Professional (AIP-C01) exam costs $300 USD. This is the standard AWS pricing for professional-level certifications with no additional discounts provided for course enrollment.
What training formats are available for the Amazon Bedrock for Generative AI-DigiSafari course, and is there a Guaranteed-to-Run schedule?
Koenig offers live online instructor-led training, 1-on-1 sessions, and classroom-based formats for Amazon Bedrock for Generative AI-DigiSafari. Our Guaranteed-to-Run scheduling ensures your session proceeds as planned even with minimal enrollment. This provides you with the flexibility and reliability needed to plan your professional development schedule effectively.
How long is lab access provided, and what type of environment is used for hands-on practice?
Lab access for Amazon Bedrock for Generative AI-DigiSafari is provided for 4 hours per session. We use a secure cloud-based sandbox environment hosted on AWS Academy Learner Labs. This environment allows access to restricted AWS services while preserving your resources between sessions, ensuring a cost-controlled, hands-on learning experience.
What is Koenig's rescheduling and cancellation policy for the Amazon Bedrock for Generative AI-DigiSafari course?
Koenig allows rescheduling of your Amazon Bedrock for Generative AI-DigiSafari course with no penalty if requested 7 days before the start. Cancellations within 7 days incur a 25% fee, while earlier requests receive a full refund. We advise confirming your dates early under our reliable Guaranteed-to-Run policy.
What is the format and difficulty level of the AWS Certified Generative AI Developer - Professional exam?
The exam features 75 questions including multiple choice and response types to be completed in 180 minutes. A passing score is 750 out of 1000. It covers advanced topics like foundation model integration, RAG, and security, reflecting a professional difficulty level essential for mastering Amazon Bedrock for Generative AI-DigiSafari.
How long is the AWS Certified Generative AI Developer - Professional certification valid, and what is the renewal process?
The certification is valid for three years. To renew, you must pass the same or a higher-level AWS exam before expiration. There is no continuing education requirement, but AWS recommends staying current. The renewal exam fee is $300, consistent with initial pricing for the Amazon Bedrock for Generative AI-DigiSafari path.
What post-training support does Koenig provide after completing the Amazon Bedrock for Generative AI-DigiSafari course?
Koenig provides 30 days of expert mentor support and access to a community forum after your Amazon Bedrock for Generative AI-DigiSafari training. You receive one free retake within 6 months, plus study guides and lab recordings. These resources reinforce your technical skills and significantly support your path toward certification success.
What are the recommended prerequisites and experience needed for the Amazon Bedrock for Generative AI-DigiSafari course?
AWS recommends 2+ years of experience building applications on AWS and 1 year of hands-on work with generative AI. Familiarity with Python, AWS services, and prompt engineering is essential. These prerequisites ensure you gain the maximum technical benefit from the advanced Amazon Bedrock for Generative AI-DigiSafari curriculum.
What is the average salary impact for professionals certified in AWS Generative AI Developer - Professional?
Professionals with the AWS Certified Generative AI Developer - Professional certification report a 20-30% salary increase. Certified roles like AI Developer or Cloud Architect earn $120,000–$160,000 annually in the U.S. This data highlights the high market value of completing the Amazon Bedrock for Generative AI-DigiSafari training and certification.
How does instructor-led Amazon Bedrock for Generative AI-DigiSafari training compare to self-study for exam preparation?
Instructor-led Amazon Bedrock for Generative AI-DigiSafari training increases first-attempt pass rates by up to 40% compared to self-study. Our course covers 100% of exam objectives with real-time labs and mentorship. While self-study requires disciplined use of AWS Skill Builder, our structured approach provides the hands-on practice required for professional certification.
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