MODULES INCLUDED

  • What is Artificial Intelligence?                               
  • Intelligent Agents 
  • Advantages and Disadvantages of AI 
  • Challenges of AI
  • What is Searching?
  • Uninformed Search Algorithm 
  • Informed Search Algorithm 
  • Adversarial Search 
  • Constraint satisfaction problems
  • Knowledge Representation 
  • Knowledge Representation Techniques 
  • Propositional Logic 
  • First Order Logic 
  • Rule-Based System
  • Basic Probability Concepts 
  • Markov and Hidden Markov Model 
  • Association rules 
  • Dimensionality reduction 
  • Feature selection and Feature Extraction
    • What is Machine Learning? 
    • Types of Learning 
    • Clustering 
    • Classification 
    • Decision Tree 
    • Regression 
    • Support Vector Machine 
    • What is Reinforcement learning?
  • Natural Language Processing 
  • Perception
  • What is a Neural Network? 
  • Types of Neural Network 
  • Neural Network Components
  • Rapid Miner 
  • Weka 
  • Orange 
  • KNIME
  • Installing Prerequisites
  • Clustering using K-means in Python
  • There will be a multiple choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Certification Benefits

  • Prove your skills as an AI developer.
  • Start a lucrative career as an AI Developer.
  • Grasp the in-deep understanding of AI Developer.
  • Gain a competitive advantage over others.
  • A highly rewarding career.

What you get?

  • Global Tech Council Certification.
  • Lifetime validity of the certification.
  • 24*7 Support for all your queries.
  • Hands-on industry project experience.

CAREER FACTS

Top job functions

  • Software Developers
  • Education
  • Technical Researchers
  • AI Evangelist
  • Programmers


What is the role of an AI developer?

An AI developer is one who develops software for systems and robots. He is responsible for developing operating software, and artificial intelligence applications and programs.

The Growth Curve ahead:

  • Data Mining Analyst 
  • Machine Learning Engineer & Researcher
  • Data Scientist
  • Data Engineer
  • Robotics Programmer

Final Outcome

After completing this certification, you would have mastered the core concepts of Artificial Intelligence.

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Success Stories