How long does it take to complete this course?

The course is self-paced and can typically be completed in 4–6 weeks with 2–3 hours per week.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Unlocking AI and ML : Your Path to Smart Business Solutions

Unlocking AI and ML : Your Path to Smart Business Solutions

Instructor: Fractal Analytics Academy

Included with

Learn more

6 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

6 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

Evaluate business scenarios to apply AI, ML, or analytics effectively
Prepare and manage data for AI and Generative AI use cases
Analyze data to support confident decision-making
Understand ethical AI practices and future skill demands

Skills you'll gain

Tools you'll learn

Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

14 assignments

Taught in English

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

Learn more about Coursera for Business

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There are 6 modules in this course

Step into the transformative world of Artificial Intelligence (AI) and Machine Learning (ML) with this beginner-friendly course. You’ll start by discovering how to identify the right data, prepare it for AI applications, and extract insights that create strategic impact.

You’ll also explore foundational AI and ML concepts, including Generative AI, neural networks, and responsible AI practices, all explained in a practical, business-focused context. No coding experience is required, just curiosity and a desire to understand how AI can shape smarter decisions and future-ready strategies. By the end of this course, you’ll be equipped to evaluate real-world challenges, assess opportunities, and apply AI/ML solutions responsibly to drive meaningful outcomes.

Learn to identify business problems suitable for AI and translate them into actionable problem statements with measurable outcomes.

What's included

6 videos2 readings3 assignments2 discussion prompts

6 videos Total 26 minutes

Course Introduction 2 minutes
What Business Problems can AI Solve? 5 minutes
Converting a Business Problem into an AI Problem 5 minutes
Formulating a Solution Approach 5 minutes
Formulating Hypotheses and Defining Success 4 minutes
Journey of an AI Problem 5 minutes

2 readings Total 8 minutes

Course Syllabus 5 minutes
Disclaimer 3 minutes

3 assignments Total 20 minutes

From Problems to Solutions: Powered by AI 10 minutes
Discovering AI-Solvable Problems 5 minutes
Problems AI can Solve 5 minutes

2 discussion prompts Total 15 minutes

Meet and Greet 5 minutes
From Problem to Solution 10 minutes

Understand data types, quality, privacy, and preparation techniques essential for AI and GenAI readiness.

What's included

5 videos2 readings2 assignments1 discussion prompt1 ungraded lab

5 videos Total 26 minutes

What is Data? 4 minutes
Types of Data 5 minutes
Importance of Data 6 minutes
Challenges with Data 5 minutes
Principles of Preparing Data for AI/Gen AI 6 minutes

2 readings Total 20 minutes

Big Data and AI - The Fourth revolution 10 minutes
What is Synthetic Data? 10 minutes

2 assignments Total 20 minutes

Fundamentals of Data 10 minutes
Data: Driving AI Innovation 10 minutes

1 discussion prompt Total 10 minutes

Rise of Synthetic data 10 minutes

1 ungraded lab Total 60 minutes

Creating Synthetic Data 60 minutes

Explore data analytics techniques and how to use them for insight-driven decisions without always relying on ML.

What's included

4 videos1 reading2 assignments1 ungraded lab

4 videos Total 19 minutes

Introduction to Data Analytics 5 minutes
Exploratory Data Analysis 5 minutes
Different Types of Analytical Techniques 5 minutes
Translating Insights into Business Decisions 4 minutes

1 reading Total 15 minutes

Not All Problems Require ML: A Sales Data Case Study 15 minutes

2 assignments Total 20 minutes

From Data to Insights 10 minutes
Insight Over Instinct 10 minutes

1 ungraded lab Total 45 minutes

Visualization 101 45 minutes

Get introduced to AI and ML fundamentals, algorithms, and real-world applications shaping today’s digital economy.

What's included

9 videos3 readings3 assignments1 discussion prompt2 ungraded labs

9 videos Total 37 minutes

What is AI? 4 minutes
Types of AI 5 minutes
Why AI Matters? 4 minutes
Current Trends in AI 5 minutes
What is Machine Learning? 4 minutes
Understanding ML Algorithms 5 minutes
Supervised Learning 3 minutes
Unsupervised Learning 4 minutes
Reinforcement Learning 4 minutes

3 readings Total 30 minutes

How are AI and ML related? 10 minutes
Birth of Machine Learning 10 minutes
Types of Machine Learning: A Comparision 10 minutes

3 assignments Total 20 minutes

AI-ML Essentials 10 minutes
AI Unboxed 5 minutes
ML Unboxed 5 minutes

1 discussion prompt Total 10 minutes

Living With AI 10 minutes

2 ungraded labs Total 120 minutes

Build your first Linear Regression Model 60 minutes
Build your first Logistic Regression Model 60 minutes

Dive into Generative AI, neural networks, and transformers to understand the technologies powering modern AI.

What's included

6 videos2 assignments

6 videos Total 31 minutes

Introduction to Generative AI 5 minutes
Introduction to Neural Networks 4 minutes
Introduction to Deep Learning 5 minutes
Types of Gen AI 6 minutes
Agentic AI 6 minutes
Introduction to Transformer and Foundational Model 5 minutes

2 assignments Total 20 minutes

Exploring AI: Deep Learning, Transformers, and Agentic Intelligence 10 minutes
Unlocking AI: From Generative to Agentic Models 10 minutes

Explore career paths, industry applications, and the importance of ethical AI in shaping a responsible future.

What's included

3 videos4 readings2 assignments1 discussion prompt

3 videos Total 18 minutes

Career opportunities in AI 7 minutes
AI and Industries 5 minutes
The need for responsible and Ethical AI 6 minutes

4 readings Total 27 minutes

Skills to Succeed in an AI-Driven World 10 minutes
How to work with AI Teams 10 minutes
Acknowledgments 2 minutes
Congratulations 5 minutes

2 assignments Total 15 minutes

Navigating AI: Careers, Impact, Ethics 10 minutes
Unlocking the Future with AIML 5 minutes

1 discussion prompt Total 10 minutes

Jobs in the Age of AI 10 minutes

Instructor

Fractal Analytics Academy

Fractal Analytics

23 Courses 128,108 learners

Offered by

Fractal Analytics

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Frequently asked questions

It’s a beginner-friendly course that helps you understand and apply AI/ML to real-world business problems—no coding required.

Business professionals, students, and anyone curious about AI/ML and its impact on decision-making.

You’ll be able to identify AI opportunities, prepare data, analyze insights, and apply ethical AI practices in business.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

Unlocking AI and ML : Your Path to Smart Business Solutions

Unlocking AI and ML : Your Path to Smart Business Solutions

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

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

There are 6 modules in this course

What is the Problem?

What's included

Data - The Fuel of AI

What's included

Not Every AI Problem Needs an ML Model

What's included

AI-ML Primer

What's included

The Generative AI Revolution

What's included

AI-ML and the Future

What's included

Instructor

Offered by

Explore more from Machine Learning

AI Strategy for Business Leaders with ChatGPT, ML & DL

Solve Business Problems with AI and Machine Learning

Artificial Intelligence

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Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

What is this course and why is it important?

Who is this course for?

What will I be able to do after completing this course?

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