AI/ML & Advanced AWS Services

The AI/ML & Advanced AWS Services course provides foundational and intermediate knowledge of Generative AI, AWS AI services, machine learning workflows, and MLOps practices used to build intelligent cloud applications. Learners will explore advanced Generative AI concepts, AWS AI/ML services, foundation models, prompt engineering, intelligent search, conversational AI, computer vision, and machine learning operations on AWS. The course covers advanced Generative AI techniques including prompt engineering, fine-tuning, RAG architecture, foundation models, Amazon Bedrock, Guardrails, Bedrock Agents, and AI-powered application workflows. Learners will also explore AWS AI services such as Amazon Rekognition, Amazon Lex, Amazon Kendra, Amazon Polly, Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Textract, Amazon Personalize, and other intelligent AWS services. In addition, the course introduces machine learning and MLOps concepts using Amazon SageMaker, SageMaker Feature Store, SageMaker Data Wrangler, SageMaker Model Monitor, SageMaker JumpStart, and AWS MLOps services to help learners understand end-to-end ML lifecycle management and operational AI workflows. This course is structured into three modules with approximately 7–9 hours of video content and quizzes to reinforce learning. Course Modules: Module 1: Advanced GenAI Techniques Module 2: AWS AI Services Module 3: Machine Learning & MLOps By the end of this course, learners will be able to: Understand advanced Generative AI concepts and foundation models Explore prompt engineering, fine-tuning, and RAG architectures Understand Amazon Bedrock, Guardrails, Agents, and AI integrations Explore AWS AI services for speech, vision, search, translation, and conversational AI Understand machine learning workflows using Amazon SageMaker Explore MLOps concepts, monitoring, feature stores, and ML lifecycle management Identify appropriate AWS AI/ML services for different business and application requireme