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⇱ Unlocking AI and ML : Your Path to Smart Business Solutions | Coursera


Unlocking AI and ML : Your Path to Smart Business Solutions

Unlocking AI and ML : Your Path to Smart Business Solutions

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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

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

Details to know

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Assessments

14 assignments

Taught in English

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 videosβ€’Total 26 minutes
  • Course Introductionβ€’2 minutes
  • What Business Problems can AI Solve?β€’5 minutes
  • Converting a Business Problem into an AI Problemβ€’5 minutes
  • Formulating a Solution Approachβ€’5 minutes
  • Formulating Hypotheses and Defining Successβ€’4 minutes
  • Journey of an AI Problemβ€’5 minutes
2 readingsβ€’Total 8 minutes
  • Course Syllabusβ€’5 minutes
  • Disclaimerβ€’3 minutes
3 assignmentsβ€’Total 20 minutes
  • Discovering AI-Solvable Problemsβ€’5 minutes
  • Problems AI can Solveβ€’5 minutes
  • From Problems to Solutions: Powered by AIβ€’10 minutes
2 discussion promptsβ€’Total 15 minutes
  • Meet and Greetβ€’5 minutes
  • From Problem to Solutionβ€’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 videosβ€’Total 26 minutes
  • What is Data?β€’4 minutes
  • Types of Dataβ€’5 minutes
  • Importance of Dataβ€’6 minutes
  • Challenges with Dataβ€’5 minutes
  • Principles of Preparing Data for AI/Gen AIβ€’6 minutes
2 readingsβ€’Total 20 minutes
  • Big Data and AI - The Fourth revolution β€’10 minutes
  • What is Synthetic Data?β€’10 minutes
2 assignmentsβ€’Total 20 minutes
  • Data: Driving AI Innovationβ€’10 minutes
  • Fundamentals of Dataβ€’10 minutes
1 discussion promptβ€’Total 10 minutes
  • Rise of Synthetic dataβ€’10 minutes
1 ungraded labβ€’Total 60 minutes
  • Creating Synthetic Dataβ€’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 videosβ€’Total 19 minutes
  • Introduction to Data Analyticsβ€’5 minutes
  • Exploratory Data Analysis β€’5 minutes
  • Different Types of Analytical Techniques β€’5 minutes
  • Translating Insights into Business Decisionsβ€’4 minutes
1 readingβ€’Total 15 minutes
  • Not All Problems Require ML: A Sales Data Case Studyβ€’15 minutes
2 assignmentsβ€’Total 20 minutes
  • Insight Over Instinctβ€’10 minutes
  • From Data to Insightsβ€’10 minutes
1 ungraded labβ€’Total 45 minutes
  • Visualization 101β€’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 videosβ€’Total 37 minutes
  • What is AI?β€’4 minutes
  • Types of AI β€’5 minutes
  • Why AI Matters?β€’4 minutes
  • Current Trends in AIβ€’5 minutes
  • What is Machine Learning?β€’4 minutes
  • Understanding ML Algorithmsβ€’5 minutes
  • Supervised Learningβ€’3 minutes
  • Unsupervised Learningβ€’4 minutes
  • Reinforcement Learningβ€’4 minutes
3 readingsβ€’Total 30 minutes
  • How are AI and ML related?β€’10 minutes
  • Birth of Machine Learningβ€’10 minutes
  • Types of Machine Learning: A Comparisionβ€’10 minutes
3 assignmentsβ€’Total 20 minutes
  • AI Unboxedβ€’5 minutes
  • ML Unboxedβ€’5 minutes
  • AI-ML Essentialsβ€’10 minutes
1 discussion promptβ€’Total 10 minutes
  • Living With AIβ€’10 minutes
2 ungraded labsβ€’Total 120 minutes
  • Build your first Linear Regression Model β€’60 minutes
  • Build your first Logistic Regression Model β€’60 minutes

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

What's included

6 videos2 assignments

6 videosβ€’Total 31 minutes
  • Introduction to Generative AIβ€’5 minutes
  • Introduction to Neural Networksβ€’4 minutes
  • Introduction to Deep Learningβ€’5 minutes
  • Types of Gen AI β€’6 minutes
  • Agentic AIβ€’6 minutes
  • Introduction to Transformer and Foundational Modelβ€’5 minutes
2 assignmentsβ€’Total 20 minutes
  • Unlocking AI: From Generative to Agentic Modelsβ€’10 minutes
  • Exploring AI: Deep Learning, Transformers, and Agentic Intelligenceβ€’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 videosβ€’Total 18 minutes
  • Career opportunities in AIβ€’7 minutes
  • AI and Industriesβ€’5 minutes
  • The need for responsible and Ethical AIβ€’6 minutes
4 readingsβ€’Total 27 minutes
  • Skills to Succeed in an AI-Driven Worldβ€’10 minutes
  • How to work with AI Teamsβ€’10 minutes
  • Acknowledgmentsβ€’2 minutes
  • Congratulationsβ€’5 minutes
2 assignmentsβ€’Total 15 minutes
  • Unlocking the Future with AIMLβ€’5 minutes
  • Navigating AI: Careers, Impact, Ethicsβ€’10 minutes
1 discussion promptβ€’Total 10 minutes
  • Jobs in the Age of AIβ€’10 minutes

Instructor

Fractal Analytics
23 Coursesβ€’136,400 learners

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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 problemsβ€”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.

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

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.

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.

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.

Financial aid available,