- Instructors Introduction
- Why take this course?
Online
₹ 449 3,499
Quick facts
particular | details | |
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 449 ₹3,499
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
About this course
What is Artificial Intelligence (AI) & Machine Learning (ML)?
- What is Artificial Intelligence (AI) & Machine Learning (ML)?
- What is AI & ML? - Exercise
- History of AI & ML
What AI can and can not do?
- Types of ML
- Types of ML - Exercise
- AI vs. Humans
- When to Apply AI & ML
- When to Apply AI & ML - Exercise
AI uprising
- ANI vs. AGI vs. ASI
- ANI v AGI v ASI - Exercise
- Recent AI uprising
- Recent AI Uprising - Exercise
- How is the world changing?
- Further Recommended Resources
Building blocks of AI
- Building blocks of AI
Common terminologies in real world
- Common Terminologies
- Common Terminologies
- Glossary of Machine Learning Terms
Common tools used for creating Artificial Intelligence
- Common Data Capturing Types and Tools
- Common Data Capturing Types and Tools
- Common Tools in the Data Science Spectrum
- Common Tools in the Data Science Spectrum
Common techniques in Artificial Intelligence
- Overview of Common Techniques
- Overview of Common Techniques
- Reinforcement Learning Reads
- Understanding ML Techniques (Part 1)
- Understanding ML Techniques (Part 2)
- Understanding ML Techniques
Applications of AI in various industries
- Introduction
- Banking
- E-Commerce
- Healthcare
- Telecom
Applications of AI in different functions
- Human Resources
- Sales
- Operations
- Marketing
- Supply Chain
- Applications of AI in different functions
What do you need to enable a AI / ML practice in your organization?
- Overview
- Level of Change
- Building your AI Strategy (Part 1)
- Timelines for Building AI Strategy
- Building AI Strategy (Part 2)
How to recruit a team for enabling AI / ML?
- Roles in AI
- Roles in AI
- Keys to recruit top AI & ML talent
- Keys to recruit top AI & ML talent
Common misconceptions about AI & ML
- Misconceptions about AI/ML
- Misconceptions about AI/ML
The Artificial Intelligence Creation Process
- Stages of Model Building and Problem Definition
- Stages of Model Building and Problem Definition
- Hypothesis Generation
- Hypothesis Generation
- Data Extraction or Collection
- Data Extraction or Collection
- Data Exploration
- Data Exploration
- Basics of Model Building
- Basics of Model Building
- ML Projects and Model Evaluation
Promises and Challenges of Artificial Intelligence
- Promises of Artificial Intelligence
- Challenges of Artificial Intelligence
- The Need for designing Safe AI
- Guidelines from OpenAI and Google for creating Safe AI