Chapter 1: Overview of AI as a contemporary Discipline
Faculty Introduction & Areas of Expertise
Learning Objective & Skill Outcomes
Deciphering Artificial Intelligence
Transformational Impact of AI on Human Lifes
Additional Learning Resources
Chapter 2: Enabling Role of AI across Decision Contexts
Application of AI & Robotics Role of Big Data as an enabler of AI Navigating the AI Maturity Framework Chapter Quiz Additional Learning Resources
Chapter 3: The Interdisciplinary interlocks of AI, ML & Deep Learning
Unravelling Machine Learning as a Discipline Differentiating Artificial Intelligence, Machine Learning and Deep Learning Varied types of Machine Learning Chapter Quiz Additional Learning Resources
Chapter 4: Relevance & Roles of Data Science, AI & ML
Disciplines of Data Science Drivers and Roles of AI & ML Artificial Intelligence & Machine Learning derived roles & skills Sample Tech Stack of AI & ML Chapter Quiz Additional Learning Resources
Chapter 5: Leveraging Data Science AI & Analytics as Value Drivers
The Process Approach to Data Science Challenges in the realm of AI Traits & Compof Data Professional Exploring and familiarizing with the Discipline of Analytics Chapter Quiz Additional Learning Resources
IPL Resource Library
Recommended Readings and Books
and Data Analysts.
Common Scenarios to Enroll
Technology AcumenAs a business professional, you want to be at the forefront of understanding transformational technology and its applications
Data-Driven Decision MakerYou want to ensure that data-enabled insights are leveraged to make strategic business decisions
Contemporary KnowledgeYou are keen on updating your knowledge regarding contemporary practices and applications in the arena of Data Science
Enterprises in 2019 and beyond will continue to focus on advanced solutions and adopt technologies like artificial intelligence and machine learning to deliver a better customer experience.
Institute of Product Leadership is Asia’s First Business School providing accredited degree programs and certification courses exclusively in Product Management and Marketing, Data Science and Technology Management.