Step into the transformative world of artificial intelligence and machine learning with Unlocking AI and ML: Your Path to Smart Business Solutions. This engaging and practical course is designed for anyone eager to make smarter, data-driven decisions and confidently navigate today’s digital landscape.
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 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Evaluate complex business scenarios to determine the appropriate application of AI, machine learning, or data analytics solutions.
Formulate a comprehensive data preparation strategy to effectively support AI and Generative AI applications.
Synthesize data analysis outcomes to drive informed business decision-making processes.
Critically analyze the ethical practices and future skill requirements in the ever-evolving landscape of Responsible AI.
Skills you'll gain
- Machine Learning
- Regression Analysis
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Business Analytics
- Predictive Modeling
- Data-Driven Decision-Making
- Artificial Neural Networks
- Business Ethics
- Exploratory Data Analysis
- Unsupervised Learning
- Ethical Standards And Conduct
- Supervised Learning
- Python Programming
- Data Analysis
- Artificial Intelligence
- Data Processing
- Business Intelligence
- Generative AI
- Data Science
Details to know
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Recently updated!
July 2025
Assessments
14 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 6 modules in this course
In this module, you'll learn how to identify business problems suitable for AI solutions and translate them into well-defined AI problem statements. You'll explore how to pinpoint specific pain points, select appropriate techniques based on the problem type, and formulate hypotheses with clear success criteria. You'll also gain an understanding of the end-to-end journey of solving a business problem with AI—from initial analysis to deployment.
What's included
6 videos2 readings3 assignments2 discussion prompts1 plugin
In this module you will get introduced to the concept of data, exploring its various types, including structured, unstructured, and semi-structured data. You will learn the importance of data in driving insights, decision-making, and AI/GenAI applications, while addressing common challenges such as data quality, privacy, and integration. You will also look at key principles for preparing data effectively for AI and GenAI, ensuring readiness for analysis, modeling, and deployment.
What's included
5 videos2 readings2 assignments1 discussion prompt1 ungraded lab
In this module, you'll learn the fundamentals of data analytics and how it enables data-driven decision-making. You'll explore how to perform exploratory data analysis to uncover patterns and trends, apply different analytical techniques based on the problem context, and translate insights into meaningful business decisions.
What's included
4 videos1 reading2 assignments1 ungraded lab
In this module, you'll learn what artificial intelligence is and explore its different types and real-world relevance. You'll understand how AI relates to machine learning and why these technologies matter in today’s world. You'll also explore current trends shaping the AI landscape. The module also introduces the fundamentals of machine learning, including common algorithms and the different types of machine learning techniques used to build intelligent systems.
What's included
9 videos3 readings3 assignments1 discussion prompt2 ungraded labs
In this module you will be introduced to Generative AI, Neural Networks, and Deep Learning, exploring their foundational principles and applications. You will learn about the different types of Generative AI, including Agentic AI, and introduces Transformers and Foundational Models, key architectures driving modern AI advancements.
What's included
6 videos2 assignments1 plugin
In this module you will learn about career opportunities in AI across various industries and the essential skills required to work with AI teams effectively. You will also learn about the role AI plays across sectors and the need for ethical considerations in AI development and deployment.
What's included
3 videos4 readings2 assignments1 discussion prompt
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Status: Free TrialUniversity of Pennsylvania
Coursera Instructor Network
Coursera Instructor Network
University of Illinois Urbana-Champaign
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