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$50.0
170 SEATS

Course Details

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing (NLP), speech recognition and machine vision.

Artificial intelligence was founded as an academic discipline in 1955, and in the years since has experienced several waves of optimism,[13][14] followed by disappointment and the loss of funding (known as an "AI winter"),[15][16] followed by new approaches, success and renewed funding.

2 months Intensive Training By Real Time Experts

Requirements

  • CPU
  • GPU
  • Memory with 8 GPUs might have an aggregate of 256 GB or 320 GB of HBM for AI operations.
  • Network systems have multiple 10 gbps or higher Ethernet interfaces
  • Storage IOPS most systems use local NVMe drives instead of SATA SSDs.
  • Google AI Platform -TensorFlow and Kubeflow
  • Azure Machine Learning -Array of MLOps tools
  • IBM Watson -Chatbot to full AIOps functionality
  • Engagi- A full menu of chatbot tools

Lessons 1: Data Science Tool Kit

  • Introduction to Python
  • Python for Data Science
  • Data Visualisation in Python
  • Data Analysis Using SQL
  • Advanced SQL and Best Practices
  • Data Analysis in Excel
  • Analytics Problem Solving
  • Math for Machine Learning
  • Exploratory Data Analysis
  • Investment Assignment
  • Inferential Statistics
  • Hypothesis Testing
  • Lending Club Case Study
  • Linear Regression
  • Assignment: Linear Regression
  • Logistic Regression
  • Naive Bayes
  • Model Selection
  • Advanced Regression
  • Advanced Regression Assignment
  • Support Vector Machine
  • Tree Models
  • Model Selection - Practical Consideration
  • Boosting
  • Unsupervised learning: Clustering
  • Unsupervised Learning: Principal Component Analysis
  • Telecom Churn Case Study
  • Introduction to Neural Networks
  • Convolutional Neural Networks - Industry Applications
  • Neural Networks - Assignment
  • Recurrent Neural Networks
  • Neural Network Project - Gesture Recognition
  • Lexical Processing
  • Syntactical Processing
  • Syntactic Processing - Assignment
  • Semantic Processing
  • Case Study: Classifying Customer Complaint Tickets
  • Classical Reinforcement Learning
  • Tic Tac Toe Assignment - Classical Reinforcement Learning
  • Deep Reinforcement Learning
  • Reinforcement Learning Project
  • Deployment
  • Capstone Project
  • John Doe

    Professor

    There are many variations of passages of Lorem Ipsum available, but the majority have suffered altera tion in some form, by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum

    There are many variations of passages of Lorem Ipsum available, but the majority have suffered altera tion in some form, by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum

    Naila Naime

    Bachelor

    There are many variations of passages of Lorem Ipsum available, but the majority have suffered altera tion in some form, by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum

    Reviews

    Sanjeev C

    Apr 9, 2020

    The course design is excellent specially for beginners to study and understand the basic concepts in Artificial Intelligence. The lessons and course material are perfect and apt for this course-level.

    Jacklene

    mar 17, 2021

    Enjoyed the material offered in this. Most of it was new but I was encouraged to research more because everything I learned related to what I am accustomed to. I would encourage anyone to experience the journey. it's exciting!

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