Course Goals

Be able to understand and analyse AI/ML opportunities, have balanced conversations, with your clients on AI/ML topics.

  • Develop foundation background in Python and tools for Data analytics and ML.
  • Perform data analytics with a graphical representation using Python.
  • Handle data analytics with a graphical development environment, which makes advanced tools easily accessible without coding.
  • Conduct and interpret some basic data science activities.
  • Develop understanding of what is Machine Learning using basic machine learning experiment and how to interpret its output.
  • Understand ML Techniques and their applicability in business via case studies.
  • Learn how computing systems take decisions with minimal human intervention.
  • Learn how AI systems change behaviours without being explicitly programmed.
  • Discuss major drivers for the growth of AI in verticals such as automotive, finance, Insurance, Real estate, Media and advertisement etc.
  • Detailed discussion on major case studies in different verticals such as automotive, Finance, Media, Insurance, Sales with deployment approach.

 

Course Content

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Course Includes

  • 13 Lessons
  • 78 Topics

Online Classroom preferred

  • Everything in self-paced, plus
  • 322 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
215,403 115,026 10% OFF Expires in 00d 23h 59m 43s
No Interest Financing start at ₹ 5000 / month Learn more

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