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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
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Data-Driven Decision Maker
Data-Driven Decision MakerYou want to ensure that data-enabled insights are leveraged to make strategic business decisions
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Contemporary Knowledge
Contemporary KnowledgeYou are keen on updating your knowledge regarding contemporary practices and applications in the arena of Data Science
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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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