Developing Generative AI Applications on AWS Advanced
Developing Generative AI Applications on AWS equips software developers with practical skills to build, deploy, and optimize generative AI applications using Amazon Bedrock and LangChain. Designed for developers leveraging large language models without fine-tuning, it addresses the growing demand for AI-driven solutions, with AWS reporting over 1 million certified practitioners globally. Learners gain hands-on experience in prompt engineering, retrieval-augmented generation, and secure application architectures.
This course prepares candidates for the AWS Certified AI Practitioner certification, validating foundational AI/ML expertise. Koenig Solutions enhances learning with official vendor-authorized courseware and Guaranteed-to-Run dates, ensuring flexibility and exam readiness. Graduates are positioned to lead AI initiatives, driving innovation and career advancement in cloud AI development.
Training Formats & Pricing
100% Happiness Guarantee · Free Rescheduling · Secure Payment
Course Overview
The AWS course Developing Generative AI Applications on AWS is designed for software developers and engineers who want to build production-grade generative AI applications using large language models without fine-tuning. While not tied to a specific certification exam, this training aligns closely with the skills measured in the AWS Certified Generative AI Developer - Professional (AIP-C01) exam. Ideal for software developers, machine learning engineers, and application architects, this course equips professionals with the practical knowledge to integrate foundation models into real-world applications. With over 100,000 organizations already leveraging Amazon Bedrock for generative AI, demand for skilled developers who can securely deploy and manage AI solutions on AWS is rapidly growing across industries.
Participants in Developing Generative AI Applications on AWS gain hands-on experience with core AWS services including Amazon Bedrock, LangChain, Amazon SageMaker JumpStart, Bedrock Knowledge Bases, Retrieval Augmented Generation (RAG), and the Converse API. Through guided labs in the AWS Management Console, learners configure foundation models, implement prompt engineering techniques, and build functional AI applications such as chatbots and code generators. A key lab component involves constructing a conversational AI agent using LangChain and the Converse API, where students integrate prompt templates, chains, and retrievers to create intelligent workflows. The course also emphasizes responsible AI practices, teaching students to mitigate bias, secure applications, and optimize for cost and performance using real-world scenarios.
Completing Developing Generative AI Applications on AWS prepares learners for the AWS Certified Generative AI Developer - Professional certification, a credential recognized for validating advanced skills in building secure, scalable AI solutions on AWS. Professionals with this expertise report average salary increases of 20-30% in AI engineering roles, with positions like Generative AI Developer and ML Solutions Architect seeing strong market demand. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official AWS courseware, and 1-on-1 instructor support, ensuring deep mastery of the material. Graduates are positioned to lead AI initiatives that drive innovation, improve operational efficiency, and deliver measurable business value in production environments.
What You'll Learn
Prerequisites
- AWS Technical Essentials or equivalent foundational AWS cloud experience is recommended to grasp core cloud concepts essential for developing Generative AI applications on AWS.
- Intermediate proficiency in Python programming is necessary, as it is the primary language used in building and deploying generative AI solutions on AWS.
- Familiarity with key AWS services and the AWS Cloud platform helps streamline the development of Generative AI applications on AWS by leveraging scalable cloud resources.
- An understanding of generative AI concepts and use cases is vital for designing effective AI solutions using AWS services.
- Experience with large language models (LLMs) and prompt engineering fundamentals enhances your ability to create sophisticated generative AI applications on AWS.
- Basic knowledge of Amazon Bedrock and the LangChain framework supports efficient integration and deployment of generative AI models on AWS.
Certification Exam
Everything you need to know about the Developing Generative AI Applications on AWS certification exam
Course Curriculum
Structured learning with hands-on labs and real-world scenarios
1
Day 1– Mastering Generative AI with Amazon Bedrock
2
Day 2– Prompt Engineering and AWS Architecture
3
Day 3– Amazon Bedrock Models and Inference
4
Day 4– LangChain Integration and App Development
5
Day 5– Architecture Patterns and Hands-On Labs
What's Included in Your Training
Every enrollment comes packed with resources to maximise your learning and exam success
Official Courseware
Hands-On Lab Environment (30 days)
Exam Preparation Materials
Practice Test Questions (200+)
Certificate of Completion
Post-Training Support (30 days)
Session Recording Access
Free Rescheduling (7+ days notice)
Hands-On Lab
Live Lab Sandbox
Real EnvironmentPractice 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 GuideComprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.
Post-Training Access
30 Days30 days of extended lab access after your training ends so you can continue practicing.
Career Outcomes
of Developing Generative AI Applications on AWS certified professionals report career advancement within 6 months
Salary Impact
Average salary increase reported after obtaining the Developing Generative AI Applications on AWS certification
*Source: Glassdoor / LinkedIn 2025
Job Roles
- Generative AI Engineer
- AWS AI/ML Solutions Architect
- Machine Learning Engineer - Generative AI
- Generative AI Developer
- AI Application Architect
- Cloud Generative AI Specialist
Companies Hiring
and 5,000+ organizations worldwide seeking Developing Generative AI Applications on AWS certified professionals
Meet Your Instructor
Associated with Koenig since March-2006.
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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“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified -
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
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.”
SC-300 Certified ✓ Verified
-
★★★★★
“AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
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.”
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.”
DP-600 Certified ✓ Verified -
★★★★★
“Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”
AZ-400 Team Training ✓ Verified
Frequently Asked Questions
Everything you need to know about the Developing Generative AI Applications on AWS training course
Is the certification exam included in the Developing Generative AI Applications on AWS course, and what is the exam fee if separate?
What training formats does Koenig offer for Developing Generative AI Applications on AWS, and is Guaranteed-to-Run scheduling available?
How long is lab access provided for Developing Generative AI Applications on AWS, and what environment is used?
What is Koenig's rescheduling and cancellation policy for this AWS course?
What is the format, number of questions, time limit, and passing score for the AWS Certified Generative AI Developer - Professional exam?
How long is the AWS Certified Generative AI Developer - Professional certification valid, and what is the renewal process and cost?
What post-training support does Koenig provide after completing the Developing Generative AI Applications on AWS course?
What are the prerequisites or prior experience needed for the Developing Generative AI Applications on AWS course?
What salary increase or career advancement can one expect after completing the Developing Generative AI Applications on AWS course?
How does instructor-led training for Developing Generative AI Applications on AWS compare to self-study in terms of certification success rates?
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