Artificial Intelligence

What is this course about?

Unlike other technologies Artificial Intelligence app development is real time and will always fetch job in quick time if you are hunting for job. Artificial Intelligence is already rulling mobiles ,So the job opurtunity for Artificial Intelligence is always in high demand.

What are the course objectives?

Artificial Intelligence is one of the well settled field yet to mark some astonishing achievements. In the dynamical ear of digitalization, Artificial intelligence had become one the live essence of all the digital platform and application. Focusing Mostly on Mathematical and Logical Concepts with programming applications, this course will help people in understanding and modelling AI concepts both theoretically and practically.

Who should do this course?

This Foundation course is designed for people having some primary knowledge on both computer science and High School Mathematics. This will help Business people, Project managers, Developers who plan to invest, guide or develop AI based platform with very basics of Artificial Intelligence.

Job Opportunity for Artificial Intelligence ?

With getting hands on experience with one of the most disrupting technology of the 21st century, you will be provided with tons of opportunity in numerous companies both MNCs and Startup.

Course Duration Information

Program Schedule

• Mode: Face to face training in batches with a maximum batch size of 5
• Total number of hours: 60 hours; Weekday Classes; 2 hours/ Day; 5days/Week

Part 1: Basics

• Introduction to Artificial Intelligence
• History of AI
• Philosophical foundation of AI.
• Python Fundamentals.
• Course Logistics and Course Plan.

Part 2: Problem Solving using Intelligence Search

• General Problem-solving Approach.
• Classical Searching Techniques.
  • Breadth First Search.
  • Depth First Search.
  • Hill Climbing.
• Heuristic Searches
  • ID
  • ID A*
  • Heuristic Search
• Adversary Search
  • Intro
  • MiniMax

Part 3: Imprecision and Uncertainty:

• Probabilistic Reasoning.
• Fuzzy Logics & Reasoning.
• Simple & Complex Decisions

Part 4: Learning:

• Symbol Based learning.
• Connectionist Based Learning.
• Genetic Bases Learning.
• Probabilistic Based Learning.

Part 5: Application:

• Expert System
• Computer Vision.
• Natural Language.

Part 6: Conclusion:

• AI on Future.
• How to proceed Further.

At end of our course, you will be assigned to work a real-time project. Once you completed assigned project with expected results we (Experts Team from Relearn Pro) will verify and issue information Certificate. If you are not able to deliver expected results in project we will support you by clarifying doubts and help you to re-attempt the project.