Introduction to AI & ML

Live Online (VILT) & Classroom Corporate Training Course

This course is an introduction to the modern AI and ML with equal emphasis on foundational concepts and practice on real world problems.

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Introduction to AI & ML

Overview

This course is an introduction to the modern AI and ML with equal emphasis on foundational concepts and practice on real world problems and will expose foundations of modern AI along with enough attention to the recent explosion of machine learning techniques.

Objectives

At the end of Intro to AI & ML training course, participants will be able to

  • Apply AI/ML methods, techniques and tools to the applications

  • Explore the practical components of developing AI apps and platforms

Prerequisites

Basic Programming knowledge.

Course Outline

Problem Formulation and Solving2021-11-12T13:46:07+05:30
  • Formulating real world problems as AI and ML problems
  • Classification and Regression Problems
  • Intuitive and Simple Algorithms: KNN, Decsion Tree and Simple Linear Classifier
  • Representation of the world and real data: Emphasis on Text, Image, Speech and Sequences
  • Visualization, Data Preparation and Unsupervised Learning
  • End to end Problem Solving: Navigating through three specific problems and case studies
Closer Look at AIML Algorithms2021-11-12T13:46:58+05:30
  • Simple Linear Algorithms, Optimization and Training
  • Non linear Solutions and MLP
  • Gradient Descent and Backpropagation
  • Decision Tree, Random Forest and Ensembles
  • Principles and Practice of ML:
    • Training, Validation and Testing
    • Overfitting and Regularization
    • Errors, Performance Metrics and Reliable Error Estimates
  • Support Vector Machines and Kernels
Deep Learning and Practical Issues2021-11-12T13:48:10+05:30
  • Introduction to DL and Toolchain
  • Convolutional Neural Networks
  • Auto Encoders
  • Recurrent Neural Networks
  • Selected Special Topics
  • Human In the Loop Solutions and Deployment
2022-01-23T19:00:45+05:30

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