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Master AI & AWS Cloud Skills: Analyze, Build, Deploy

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Master AI & AWS Cloud Skills: Analyze, Build, Deploy

This course is part of AI Technologies, Tools & Cloud Certification Specialization Specialization

Instructor: EDUCBA

Included with

Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

11 reviews

Beginner level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

11 reviews

Beginner level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Explain core AI and machine learning concepts and differentiate common ML techniques.
Use AWS AI services to build, train, and deploy intelligent applications.
Design end-to-end AI solutions and prepare for the AWS Certified AI Practitioner exam.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Build your subject-matter expertise

This course is part of the AI Technologies, Tools & Cloud Certification Specialization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Learners will be able to explain core AI concepts, differentiate machine learning techniques, analyze AWS AI services, apply model training workflows, and evaluate end-to-end AI solutions using real-world examples. This course equips participants with a complete understanding of Artificial Intelligence fundamentals while developing practical cloud skills using AWS tools such as SageMaker, Comprehend, Rekognition, Lex, and Polly.

Through clear video-based instruction and structured module progression, learners gain the ability to design conversational agents, build computer vision pipelines, prepare datasets, train and optimize ML models, implement foundation models, and deploy intelligent cloud applications. By completing hands-on demonstrations and graded assessments, learners strengthen their technical confidence and prepare for the AWS Certified AI Practitioner exam. What makes this course unique is its step-by-step learning path, AWS-focused practical guidance, and real-world case studies that connect AI theory with cloud implementation. The course blends foundational knowledge with applied AWS workflows, making it ideal for beginners, aspiring cloud practitioners, and professionals seeking to expand their AI and ML capabilities.

Module details

This module introduces the fundamental principles of Artificial Intelligence and Machine Learning, covering key concepts such as NLP, Computer Vision, learning paradigms, and essential analytical techniques. Learners develop a strong conceptual foundation to support deeper exploration of AI applications and AWS-based ML workflows.

What's included

9 videos4 assignments

9 videosTotal 15 minutes

Introduction2 minutes
Understanding AI and ML3 minutes
Natural Language Processing (NLP)1 minute
Computer Vison (CV)2 minutes
Applications of AI in Various Industries2 minutes
Supervised vs Unsupervised Machine Learning1 minute
Algorithms of Supervised and Unsupervised Machine Learning2 minutes
Reinforcement Learning (RL)1 minute
Principal Component Analysis (PCA)1 minute

4 assignmentsTotal 60 minutes

Graded - Foundations of AI & Machine Learning30 minutes
AI Fundamentals & Core Concepts10 minutes
Machine Learning Essentials10 minutes
Advanced ML Techniques10 minutes

This module explores the AWS AI ecosystem, introducing essential cloud-based AI services such as SageMaker, Comprehend, DeepLens, and foundational implementation patterns. Learners gain hands-on understanding of how AWS accelerates AI development through managed services, automation, and real-world case studies.

What's included

9 videos4 assignments

9 videosTotal 48 minutes

Basic Questions9 minutes
Introduction to AWS AI Services0 minutes
Amazon SageMaker4 minutes
Aws DeepLens3 minutes
Amazon Comprehend3 minutes
Case Studies2 minutes
Intermediate Questions15 minutes
Implementing AI Solutions with AWS4 minutes
Woring with Amazon SageMaker6 minutes

4 assignmentsTotal 60 minutes

Graded - AWS AI & ML Services Deep Dive30 minutes
Introduction to AWS AI Ecosystem10 minutes
Applied AWS AI Tools10 minutes
Working with AWS Machine Learning Services10 minutes

This module focuses on building conversational, vision-based, and multi-service AI solutions using AWS. Learners gain experience integrating Lex, Polly, Rekognition, and other services to design intelligent, end-to-end cloud applications while exploring foundation models and model engineering best practices.

What's included

7 videos4 assignments

7 videosTotal 10 minutes

Using AWS Lex2 minutes
Using AWS Polly1 minute
AWS Rekognition1 minute
Combining AWS Services2 minutes
Understanding Foundation Models1 minute
Model Selection and Architecture1 minute
Data Preperation and Preprocessing1 minute

4 assignmentsTotal 60 minutes

Graded - Building Intelligent Solutions with AWS30 minutes
Conversational & Voice AI Services10 minutes
Vision & Multi-Service AI Integration10 minutes
Foundation Models & Model Engineering10 minutes

This module covers the complete ML lifecycle, including model training, optimization, evaluation, deployment, ethical AI practices, prompt engineering, and continuous improvement strategies. Learners also prepare for certification through exam-focused insights and advanced scenario-based analysis.