AWS Managed AI Services

AWS: Managed AI Services is the fifth course in the Exam Prep (MLA-C01): AWS Certified Machine Learning Engineer – Associate Specialization. This course is designed to help learners leverage powerful pre-trained AI services Through a practical, service-based approach, learners will explore AWS offerings for natural language understanding, speech processing, computer vision, personalized recommendations, intelligent search, and human-in-the-loop workflows. These services allow developers, data engineers, and ML practitioners to embed intelligence into applications at scale with minimal ML expertise. With real-world examples, this course demonstrates how to use services like Amazon Comprehend, Rekognition, Polly, Textract, Transcribe, Personalize, Kendra, and A2I (Augmented AI) to deliver business value through managed AI capabilities. This course is structured into two major modules, each containing focused lessons and guided walkthroughs. Learners will gain approximately 2.5 to 3 hours of hands-on video content, supported by Graded and Ungraded Quizzes to assess conceptual understanding and real-world application. Module 1: Natural Language, Speech & Vision AI Services on AWS Module 2: Intelligent Search, Personalization & Human-in-the-Loop AI By the end of this course, learners will be able to: Understand how AWS Managed AI Services solve common AI use cases without custom model development Integrate services for NLP, speech, and computer vision into applications Build personalized experiences and intelligent search solutions using Amazon Personalize and Kendra Incorporate human review using Amazon A2I for critical workflows requiring oversight This course is ideal for cloud developers, solution architects, data engineers, and ML beginners who want to integrate powerful AI capabilities without training models. It’s also tailored for learners preparing for the MLA-C01 certification, especially those aiming to master the application of AWS’s fully managed AI services in real-world use cases

• Implement intelligent search and document extraction with Amazon Kendra and Textract
• Create personalized experiences and human review workflows using Personalize, A2I, and Mechanical Turk
• Leverage AWS AI services like Comprehend, Translate, Transcribe, and Polly for language and speech processing tasks
• Apply Amazon Rekognition and Amazon Lex to build intelligent image analysis and conversational AI solutions

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work