Python for artificial intelligence

This Artificial Intelligence Certification is designed to help you gain proficiency and prepare you for a promising career in artificial intelligence and machine learning.

 

This program covers machine learning, natural language processing, reinforcement learning, and other cutting-edge AI approaches in-depth and entirely online. After completing the program, you’ll be equipped with the knowledge and self-assurance needed to debug your code, create your own models free from the limitations of pre-made tools, and develop original models, tools, and algorithms.

 

From entry-level to expert job profiles are available with artificial intelligence. If you aim for high-end technical professions, you can become an AI, ML, or data scientist. Alternatively, you may pursue a career as a business analyst, robotics engineer, or computer vision engineer, depending on your interests.

Course Instructor

Dr. Shehryar Najam

Qualification: Ph.D. Electrical Engineering 

Teaching Experience: 10 Years

Course Details

Learning Outcomes

After the completion of this certification, students would be able to:

  • Develop systems using AI
  • Work in Robotics

Requirements

  • Intermediate/O/A-levels
  • Basic Programming Skills
  • Basic Computer Skills

Coures Benefits

From entry-level to expert job profiles are available with artificial intelligence. If you aim for high-end technical professions, you can become an AI, ML, or data scientist. Alternatively, you may pursue a career as a business analyst, robotics engineer, or computer vision engineer, depending on your interests.

Duration & Start Date

  • On-site
  • Online

Mode of Classes

  • Duartion: 3 Months
  • Starting Date: 01-Feburary-2023

Fee

  • Fee: 15000/- Pkr

Course Outline

Sr No.Contents
1Introduction to AI, History and Types
2Intelligent Agent
3Problem Solving in AI, AI Algorithms
4Adversarial Search
5Knowledge Representation, Knowledge-Based Agent
6Propositional Logic
7Rules of Inference
8The Wumpus World
9Unification in FOL, Resolution in FOL
10Reasoning in AI
11Uncertain Knowledge Representation
12Bayes Theorem in AI
13Bayesian Belief Network
14Examples of AI
15AI in Education, Engineering, and Healthcare
16Engineering Applications in AI
17Robotics in AI
18AI Future, Approaches of AI Learning
19Subsets of AI
20Expert Systems, Machine Learning Basics
21NLB Basics
22Final Project

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