• AI & Machine Learning Short Course

    AI & Machine Learning Short Course

    Why is AI & Machine Learning getting popular?

    What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumour detection have in common?

    Learn the fundamentals of Artificial Intelligence (AI) & Machine Learning, and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.+

    They are all complex real-world problems being solved with applications of intelligence (AI) & Machine Learning. This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems. You will learn about the history of AI, intelligent

    agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems. You will also be able to understand the concept of Machine Learning along with the advance Models, Perceptron, Decision trees & Markov Decision Processes.

    The modern labs at our technology centres ensure that all students get in depth practical hands on training for their chosen career paths. The experienced lecturers create further professional exposure through industry visits and networking with peers. At the end of your course, you hold an IPMC AI & Machine Learning Certificate which adds value to your profile and makes you stand out in any competitive environment.

    .Course Content –

    • Introduction to AI
    • History of AI
    • Course Logistics
    • Intelligent Agents
    • Uninformed Search
    • Heuristic Search
    • Algorithm
    • Adversarial Search
    • Games
    • Constraint Satisfaction Problems
    • Machine Learning : Basic Concepts
    • Linear Models
    • Perceptron
    • Machine Learning: Advanced Models
    • Neural Networks
    • SVM’s
    • Decision Trees & Unsupervised Learning
    • Markov Decision Processes & Reinforcement Learning
    • Logical Agent, Propositional Logic & First Order Logic
    • AI Applications (NLP)
    • AI Applications (Version/ Robotics)

    Admission Requirement –

    • Basic Knowledge in Computer Science Fundamentals Programming
    • Basic Knowledge in Probability & Statistics
    • Basic Knowledge in Data Modelling & Evaluation

    Course Duration: 6 Weeks

    Career Progression:

    • Robotics Programmer
    • Work in the Military
    • Software Engineer
    • Machine Learning Researcher
    • Data Mining Analyst

     

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