Institute of Product Leadership

Artificial Intelligence and Machine Learning Foundations for Business Leaders

WIELD THE SCIENCE OF DATA TO GENERATE INSIGHTS AND MAKE BUSINESS DECISIONS

Lead business practices by leveraging the power of AI & ML

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Key Highlights

Course Length

2 Weeks

100% Online

With Continuous Learning Community support + Monthly Live Webinars

Effort

4 Hours/ Week

Learning Access

Resource Toolkit + Unlimited Networking Events + Practice Session with Coach (Optional)

“This course taught me new ideas, techniques that I can apply to real-world scenarios”
Kavitha
TechM
“A very comprehensive course. I am now more confident in applying statistical techniques in my role as a Data Analyst”
Karmarkar
Wintech Solutions

What will you Learn?

  • Understand the difference between AI, ML & Deep Learning
  • Learn the principles and application of Machine Learning
  • Decipher the role of Big Data and capitalize as an enabler of AI
  • Derive value with analytics through applications of AI & ML
  • Apply the science of Robotics to technology-enabled business context

Top skills you will learn

  • Difference between AI & ML
  • Interlocks of AI, ML and Deep Learning
  • AI Maturity Framework
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Course Curriculum

  • Faculty Introduction & Areas of Expertise
  • Learning Objective & Skill Outcomes
  • Deciphering Artificial Intelligence
  • Transformational Impact of AI on Human Lifes
  • Chapter Quiz
  • Additional Learning Resources
   Application of AI & Robotics
   Role of Big Data as an enabler of AI
   Navigating the AI Maturity Framework
    Chapter Quiz
   Additional Learning Resources
   Unravelling Machine Learning as a Discipline
   Differentiating Artificial Intelligence, Machine Learning and Deep Learning
   Varied types of Machine Learning
    Chapter Quiz
   Additional Learning Resources
   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
   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 Books

Ideal For

  • Software Developers
  • Project Managers
  • Product Managers
  • and Data Analysts.

Common Scenarios to Enroll

Technology Acumen
Technology AcumenAs a business professional, you want to be at the forefront of understanding transformational technology and its applications
Data-Driven Decision Maker
Data-Driven Decision MakerYou want to ensure that data-enabled insights are leveraged to make strategic business decisions
Contemporary Knowledge
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.

Data Science - AI Trends by Analytics India
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