AI – The World of Prediction Machines
About Course
Computer-enhanced artificial intelligence (AI) has been around since the 1950s, but recent hardware innovations and technological disruptions have reinvigorated the field. New sensors help machines to be more accurate in seeing, hearing sounds, and understanding location. Powerful processors can help computers make complex decisions, sort through possibilities, plan outcomes, and learn from mistakes. The possibilities are thrilling; the implications are vast.
This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between “strong” and “weak” AI. You will see how AI has created questions around what it means to be intelligent and how much trust we should put in machines.
Objective of the program
- Implementation of AI
- Practical Applications of AI-enhanced technologies
Topics Covered
- Introduction to Artificial Intelligence
- World of Machine Learning
- Machine Learning Approaches
- Machine Learning Algorithms
- AI- Creating a Paradigm shift
- How AI is implemented?
- Progression of AI
- Practical Application of AI
Why choose this program?
- Certification Program
- Self paced, with tons of additional learning materials to refer
- No prior knowledge needed
- A dedicated mail id for query support and guidance, unlike other online courses
- 8 modules – Step by step approach to guide you from basics
- 4 Assignments for practice
- Quiz for every module to test your understanding
Key Takeaways
- Learn about AI
- Understand how AI is implemented
Course Content
Introduction to Intelligence
-
Introduction to Intelligence
16:27 -
Let’s define AI
11:06 -
Understanding Artificial Intelligence
07:01 -
Philosophy of AI
11:32 -
Evolution of AI
10:41 -
Why AI is popular today?
09:12 -
Areas explored under AI
15:15 -
How Industry views AI?
10:00 -
Real world Applications of AI
18:00 -
Reference Material
00:00 -
Module Quiz – Introduction to Artificial Intelligence
Machine Learning – The World of Prediction Machines
AI – Creating a Paradigm Shift
Machine Learning Approaches
Machine Learning Algorithms
How is AI implemented?
Progression of AI
Practical Applications of AI-ML
Certification Exam
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