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Master AI Skills: Analyze, Build & Deploy Systems

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

Instructor: EDUCBA

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Analyze language and vision data using NLP, Computer Vision, and Generative AI models.
Build and evaluate GenAI workflows, including hallucination handling and output optimization.
Deploy scalable AI solutions using modern platforms and real-world deployment strategies.

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 5 modules in this course

Learners will analyze language and vision data, apply AI models, evaluate generative outputs, and implement scalable deployment strategies across real-world environments. This comprehensive course empowers learners to understand how NLP, Computer Vision, Robotics, and Generative AI work together to drive modern intelligent systems.

Through hands-on examples, practical labs, and real case studies, learners gain the ability to interpret text and image data, automate workflows, detect and mitigate AI hallucinations, and deploy GenAI applications using platforms like AWS Bedrock, Anthropic, and VLLM. They also explore cutting-edge AI tools that accelerate creativity, productivity, and innovation across professional domains. What makes this course unique is its end-to-end approach—from foundational AI concepts to advanced deployment techniques—combined with clear, scenario-based learning and industry-aligned assessments. By mastering both theory and practice, learners leave equipped with job-ready skills to build, optimize, and responsibly deploy AI-powered solutions in diverse sectors.

Module details

This module introduces learners to the core concepts of Natural Language Processing (NLP) and Computer Vision, exploring how machines process, interpret, and generate human language and visual information. Learners gain foundational skills in text preprocessing, classification, language models, image analysis, and feature extraction, setting the stage for more advanced AI applications.

What's included

11 videos4 assignments

11 videosTotal 79 minutes

Basics of NLP4 minutes
Text Preprocessing2 minutes
Text Classification7 minutes
Named Entity Recognition (NER)10 minutes
Sentiment Analysis7 minutes
Language Generation Models (BERT, GPT)16 minutes
Image Processing Basics9 minutes
Feature Extraction4 minutes
Object Detection6 minutes
Image Segmentation8 minutes
Image Generation6 minutes

4 assignmentsTotal 60 minutes

Foundations of NLP & Computer Vision30 minutes
Understanding Natural Language Processing10 minutes
Advanced NLP Tasks10 minutes
Visual Intelligence Essentials10 minutes

This module explores how Artificial Intelligence powers modern robotics, focusing on perception, decision-making, and autonomous control. Learners examine sensor systems, AI-driven robotic reasoning, and reinforcement learning, gaining insight into how intelligent robots operate in dynamic environments.

What's included

5 videos3 assignments

This module examines the capabilities and limitations of Generative AI models, including how they produce creative outputs and why hallucinations occur. Learners investigate types of hallucinations, their causes, detection techniques, and mitigation strategies supported by real-world case studies and assessment activities.

What's included

9 videos4 assignments

9 videosTotal 31 minutes

Examples of Generative AI1 minute
Examples of Hallucinations4 minutes
Causes of Hallucination in GenAI2 minutes
Types of Hallucination2 minutes
Detection and Evaluation of Hallucinations4 minutes
Mitigation Strategies3 minutes
Advanced Techniques4 minutes
Case Studies and Practical Applications3 minutes
Quiz8 minutes

4 assignmentsTotal 60 minutes

Generative AI & Hallucinations30 minutes
Exploring Generative AI10 minutes
Understanding Hallucinations in Depth10 minutes
Managing and Evaluating AI Outputs10 minutes

This module guides learners through the practical integration and deployment of Generative AI systems across various platforms and workflows. Topics include deployment planning, vendor evaluation, security considerations, scalability, hands-on implementation, and scenario-based decision-making for enterprise environments.

What's included

11 videos4 assignments

11 videosTotal 56 minutes

Introduction to Integration and Deployment of GenAI3 minutes
Understanding the Development Landscape3 minutes
Key Considerations for Development3 minutes
Evaluating Deployment Method and Vendors5 minutes
Case Studies and Best Practices3 minutes
AWS Bedrock9 minutes
Anthropic4 minutes
VLLM3 minutes
Practical Examples and Best Practices6 minutes
Hands on Labs and Projects2 minutes
Think You Know AI Deployments16 minutes

4 assignmentsTotal 60 minutes

GenAI Integration & Deployment30 minutes
Deployment Foundations10 minutes
Deployment Strategies & Best Practices10 minutes
Platforms for GenAI Deployment10 minutes

This module introduces a broad ecosystem of modern AI tools that enhance creativity, productivity, automation, and professional workflows. Learners explore multimodal tools, automation platforms, refinement techniques, and professional AI solutions that support advanced content creation and digital innovation.