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

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Unlocking AI and ML : Your Path to Smart Business Solutions

Instructor: Fractal Analytics Academy

Included with

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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

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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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 videosTotal 26 minutes

Course Introduction2 minutes
What Business Problems can AI Solve?4 minutes
Converting a Business Problem into an AI Problem5 minutes
Formulating a Solution Approach5 minutes
Formulating Hypotheses and Defining Success4 minutes
Journey of an AI Problem4 minutes

2 readingsTotal 8 minutes

Course Syllabus5 minutes
Disclaimer3 minutes

3 assignmentsTotal 20 minutes

Discovering AI-Solvable Problems5 minutes
Problems AI can Solve5 minutes
From Problems to Solutions: Powered by AI10 minutes

2 discussion promptsTotal 15 minutes

Meet and Greet5 minutes
From Problem to Solution10 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 videosTotal 26 minutes

What is Data?3 minutes
Types of Data5 minutes
Importance of Data5 minutes
Challenges with Data5 minutes
Principles of Preparing Data for AI/Gen AI5 minutes

2 readingsTotal 20 minutes

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

2 assignmentsTotal 20 minutes

Data: Driving AI Innovation10 minutes
Fundamentals of Data10 minutes

1 discussion promptTotal 10 minutes

Rise of Synthetic data10 minutes

1 ungraded labTotal 60 minutes

Creating Synthetic Data60 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 videosTotal 18 minutes

Introduction to Data Analytics4 minutes
Exploratory Data Analysis 4 minutes
Different Types of Analytical Techniques 4 minutes
Translating Insights into Business Decisions4 minutes

1 readingTotal 15 minutes

Not All Problems Require ML: A Sales Data Case Study15 minutes

2 assignmentsTotal 20 minutes

Insight Over Instinct10 minutes
From Data to Insights10 minutes

1 ungraded labTotal 45 minutes

Visualization 10145 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 videosTotal 37 minutes

What is AI?3 minutes
Types of AI 4 minutes
Why AI Matters?3 minutes
Current Trends in AI5 minutes
What is Machine Learning?4 minutes
Understanding ML Algorithms4 minutes
Supervised Learning2 minutes
Unsupervised Learning4 minutes
Reinforcement Learning3 minutes

3 readingsTotal 30 minutes

How are AI and ML related?10 minutes
Birth of Machine Learning10 minutes
Types of Machine Learning: A Comparision10 minutes

3 assignmentsTotal 20 minutes

AI Unboxed5 minutes
ML Unboxed5 minutes
AI-ML Essentials10 minutes

1 discussion promptTotal 10 minutes

Living With AI10 minutes

2 ungraded labsTotal 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 videosTotal 30 minutes

Introduction to Generative AI4 minutes
Introduction to Neural Networks3 minutes
Introduction to Deep Learning4 minutes
Types of Gen AI 5 minutes
Agentic AI6 minutes
Introduction to Transformer and Foundational Model5 minutes

2 assignmentsTotal 20 minutes

Unlocking AI: From Generative to Agentic Models10 minutes
Exploring AI: Deep Learning, Transformers, and Agentic Intelligence10 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 videosTotal 17 minutes

Career opportunities in AI7 minutes
AI and Industries5 minutes
The need for responsible and Ethical AI5 minutes

4 readingsTotal 27 minutes

Skills to Succeed in an AI-Driven World10 minutes
How to work with AI Teams10 minutes
Acknowledgments2 minutes
Congratulations5 minutes

2 assignmentsTotal 15 minutes

Unlocking the Future with AIML5 minutes
Navigating AI: Careers, Impact, Ethics10 minutes

1 discussion promptTotal 10 minutes

Jobs in the Age of AI10 minutes

Instructor

Fractal Analytics Academy

Fractal Analytics

23 Courses114,741 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.