Course Highlights
Duration | 16 hours |
Delivery Format | Online Mode (Personalised Mentor Driven) |
Cities/ Centers | available in Online only mode |
Tools Covered | Tableau,Hadoop,SQL |
Experiential Learning | Industry faculty, Case studies and Assignments, Career Support |
Prequisite Skill | Statistics,Linear Algebra,Calculus ,Probability ,Programming Languages and MS-Excel |
Certification | Certificate from IemLearning |
Course curriculum
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1
An Introduction to Artificial Intelligence
- What is Artificial Intelligence (AI) ?
- History of AI
- When to apply AI ?
- What AI can and can’t do?
- AI vs Humans
- Case studies
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2
Natural Language Processing in Business
- Introduction to Natural Language Processing (NLP)
- Introduction to Python Language
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3
Artificial Intelligence in Business and Society and the Future of Artificial Intelligence
- Recent AI uprising
- How is the world changing?
- Building blocks of AI
- Common tools used for creating AI
- Application of AI & ML in various industries
- Building AI & ML practice in your association
- Ethics of AI & ML
What you'll learn
Course Description
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Statistical concepts - basics to advanced levels.
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Model Planning, Data Modelling and Model Evaluation using real-time case studies.
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Problems and case study driven training