Overview
Hello! Welcome to Unlocking AI and ML :
Your Path to Smart Business Solutions!
In this course, you'll learn how to evaluate business problems and determine when to apply AI, machine learning, or data analytics to solve them. You'll explore what kind of data is needed, why it matters, and how to prepare it for AI and Generative AI applications.
The course covers how to analyze data and extract insights that support better decision-making, while also introducing the fundamentals of AI, its connection to machine learning, and key ML techniques and algorithms. You'll gain a foundational understanding of Generative AI, deep learning, and neural networks, and explore responsible AI practices, the evolving job market, and the essential skills needed to thrive in an AI-driven world.
Syllabus
- What is the Problem?
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.
- Data - The Fuel of AI
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.
- Not Every AI Problem Needs an ML Model
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.
- AI-ML Primer
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.
- The Generative AI Revolution
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.
- AI-ML and the Future
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.
Taught by
Fractal Analytics Academy
Subjects
Computer Science
