AWS Certified Generative AI Developer Professional Exam Prep

Pass the NEW AWS Certified Generative AI Developer Professional (AIP-C01) Exam on Your First Try!
What you'll learn
Ace the Exam: Master all domains of the AWS Certified Generative AI Developer Professional exam and gain the confidence to pass on your first attempt.
Master Core GenAI Services: Gain advanced, practical skills in designing, developing, and deploying solutions using Amazon Bedrock and Amazon SageMaker.
Build the Full Ecosystem: Learn to integrate supporting AWS services for data processing, feature engineering, vector storage, and databases essential for GenAI
Implement Secure & Automated Pipelines: Confidently apply best practices for securing GenAI workloads (IAM, KMS, VPC) and automating the MLOps lifecycle .
Requirements
IT Professionals with AWS experience who want to specialize in Generative AI and validate their professional-level skills.
Description
[Course Description]Welcome to the most comprehensive prep course for the NEW AWS Certified Generative AI Developer - Professional exam.This course is meticulously designed for experienced developers who want to validate their advanced skills in designing, developing, deploying, managing, and securing Generative AI applications on the AWS cloud. This is a new, challenging, and highly in-demand certification, and this course will give you the knowledge and confidence you need to pass.We go far beyond just theory. This course provides a deep dive into the critical services and concepts you must know for this professional-level certification.[What You Will Master]In this course, you will gain hands-on expertise and deep technical knowledge across all exam domains:Core Generative AI Services: Master Amazon Bedrock, including foundational model selection, advanced prompt engineering, Retrieval Augmented Generation (RAG), agents, and fine-tuning. We also cover Amazon SageMaker in-depth, including SageMaker JumpStart, training, inference, and endpoints.Data Lifecycle & Pipelines: Learn to integrate essential data processing services (like AWS Lambda, AWS Glue), feature stores (Amazon SageMaker Feature Store), and specialized databases (like vector stores for OpenSearch or Amazon Aurora) to build robust data pipelines for your GenAI models.Security & Governance: Implement rock-solid security using IAM roles and policies, network isolation with VPCs, and data encryption with AWS KMS, ensuring your GenAI applications are secure and compliant.DevOps & Automation: Master the automation of your GenAI workflows using AWS CI/CD tools (like AWS CodePipeline and AWS CodeBuild) for seamless integration, deployment, and monitoring.[Course Agenda]This course is logically structured to build your knowledge from the ground up:Section 1: AWS Certification and Exam PreparationGet a complete overview of the AWS certification landscape, the specifics of the Generative AI Professional exam, and how to set up your AWS account for hands-on learning.Section 2: Fundamentals of AI and Machine LearningBuild a solid foundation by reviewing the basic terminology and core concepts of AI, ML, and Generative AI, including the complete ML pipeline.Section 3: Deep Dive into AWS ServicesThis is the core of the course. We will review all essential AWS services, category by category, as they relate to the exam.1. AI/ML: SageMaker, Bedrock, and other fully-managed services.2. Management & Governance: Organizations, Systems Manager, CloudWatch, Config, CloudTrail, CloudFormation.3. Security, Identity, Compliance: IAM, KMS, Secrets Manager, Macie.4. Storage: S3, EFS, EBS, Storage Gateway.5. Compute & Container: EC2, AutoScaling, ECS, EKS, Lambda, AWS Batch.6. Networking & Content Delivery: VPC, Firewall, CloudFront, DirectConnect.7. Database: RDS, Aurora, Redshift, DynamoDB, ElastiCache.8. Application Integration: API Gateway, SQS, SNS, EventBridge, StepFunctions, MWSS.9. Analysis: Lake Formation, Glue, Kinesis, Data Firehose, Apache Flink, Athena, EMR, OpenSearch, QuickSight.10. Developer: CodeBuild, CodeDeploy, CodePipeline.Section 4: Full-Length Practice TestTest your knowledge with a complete, original 75-question practice exam designed to simulate the real test environment.Section 5: SummaryWe'll wrap up the course with key takeaways and final tips for exam day.[Meet Your Instructor]Hello, I am Maruchin Tech.With a background spanning over a decade in technology, I've been working in major firms, including the Renault-Nissan-Mitsubishi Alliance, Accenture, and NTT Data.I have created +40 courses covering Cloud Computing, Programming, Python, and Machine Learning, which have reached +80,000 students on Udemy. As an IT consultant, I specialize in cloud computing solutions for leading corporations.I hold all currently available AWS certifications (12x AWS Certified), and I am passionate about sharing my knowledge with you.Join me in exploring the dynamic world of IT, where continuous learning and innovation open the door to endless possibilities. Let's embark on this journey together.This course is your complete guide to mastering the exam domains and earning one of the industry's most in-demand certifications.I look forward to seeing you in the course!
Who this course is for
Software Engineers and AI/ML Engineers responsible for designing, building, and maintaining Generative AI solutions on AWS.
Developers preparing to take and pass the new AWS Certified Generative AI Developer Professional exam.
Homepage