AI WITH MACHINE & DEEP LEARNING TRAINING IN THRISSUR

2546 Reviews
4.8/5
1880 Learners

Overview

Duration of Course: 60 hrs

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INTRO VIDEO

Why Radical Technologies

  • Highly practical oriented training
  • 25000+ Man-hours of Real-time projects & scenarios
  • 10 to 20+ year Experienced corporate trainers With Real Time Experience.
  • Building up professionals by highly experienced professionals
  • 100 % quality assurance in training .
  • 10000+ Placement Records and 180+ MNC’s and Consultancies Tie up

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Course Curriculum

Pre-requisites

There are no formal prerequisites for this course; however, previous operating system administration experience will be very beneficial.

Course Content

Introduction with Artificial Intelligence.

  • What is AI (Artificial Intelligence) ?
  • What types of intelligences we are talking about?
  • Different definitions and Ultimate goal of AI.
  • What are application areas for AI?
  • History of AI and some real life examples of AI.

ML and other related terms to AI.

  • What is ML and How it is related with AI?
  • What is NLP and How it is related with AI?
  • What is DL and How it is related with ML and AI?
  • What are ANNs and DNNs and How are they related to AI?

A working example of AI and ML.

Project 1 – These simple tasks are to make you understand how AI and ML can find their applications in real life.

Python libraries for ML.

  • What are Libraries, packages and Modules?
  • What are top Python libraries for ML in Python?

Setting up Anaconda development environment.

  • Why choosing Anaconda development environment?
  • Setting up Anaconda development environment on Windows 10 PC.
  • Verifying proper installation of Anaconda environment.

Getting into core development of ML.

  • What is a classifier in ML?
  • Important elements and flow of any ML projects.
  • Let’s develop our first ML program – explanations
  • Let’s develop our first ML program – development

Project – 2

These simple tasks are going to give you some great experience with Machine Learning introductory programs or better say, “Hello world” programs of Machine Learning.

Different ML techniques.

  • What all ML techniques are there?
  • Evaluation methods of all ML techniques.

(IRIS flower project) Developing complete project of ML.

  • Developing complete ML project – understanding data set
  • Developing complete ML project – understanding flow of project
  • Developing complete ML project – visualizing data set through Python
  • Developing complete ML project – development
  • Developing complete ML project – concepts explanations
  • –(Digit recognition project) Developing another project of ML.

Project 3

  • After completing these project, you have done and understood multiple complete projects of Machine Learning.

Introduction of Ai with Deep Learning

  • Installation
  • CPU Software Requirements
  • CPU Installation of PyTorch
  • PyTorch with GPU on AWS
  • PyTorch with GPU on Linux
  • PyTorch with GPU on MacOSX

PyTorch Fundamentals: Matrices

  • Matrix Basics
  • Seed for Reproducibility
  • Torch to NumPy Bridge
  • NumPy to Torch Bridge
  • GPU and CPU Toggling
  • Basic Mathematical Tensor Operations
  • Summary of Matrices

PyTorch Fundamentals: Variables and Gradients

  • Variables
  • Gradients
  • Summary of Variables and Gradients

Linear Regression with PyTorch

  • Linear Regression Introduction
  • Linear Regression in PyTorch
  • Linear Regression From CPU to GPU in PyTorch
  • Summary of Linear Regression

Logistic Regression with PyTorch

  • Logistic Regression Introduction
  • Linear Regression Problems
  • Logistic Regression In-depth
  • Logistic Regression with PyTorch
  • Logistic Regression From CPU to GPU in PyTorch
  • Summary of Logistic Regression

Feedforward Neural Network with PyTorch

  • Logistic Regression Transition to Feedforward Neural Network
  • Non-linearity
  • Feedforward Neural Network in PyTorch
  • More Feedforward Neural Network Models in PyTorch
  • Feedforward Neural Network From CPU to GPU in PyTorch
  • Summary of Feedforward Neural Network

Convolutional Neural Network (CNN) with PyTorch

  • Feedforward Neural Network Transition to CNN
  • One Convolutional Layer, Input Depth of 1
  • One Convolutional Layer, Input Depth of 3
  • One Convolutional Layer Summary
  • Multiple Convolutional Layers Overview
  • Pooling Layers
  • Padding for Convolutional Layers
  • Output Size Calculation
  • CNN in PyTorch
  • More CNN Models in PyTorch
  • CNN Models Summary
  • Expanding Model’s Capacity
  • CNN From CPU to GPU in PyTorch
  • Summary of CNN

Recurrent Neural Networks (RNN)

  • Introduction to RNN
  • RNN in PyTorch
  • More RNN Models in PyTorch
  • RNN From CPU to GPU in PyTorch
  • Summary of RNN

Long Short-Term Memory Networks (LSTM)

  • Introduction to LSTMs
  • LSTM Equations
  • LSTM in PyTorch
  • More LSTM Models in PyTorch
  • LSTM From CPU to GPU in PyTorch
  • Summary of LSTM

Projects :-

Deep Learning Projects

Churn Modelling using ANNMini
Image ClassificationMini
Image classification using Transfer learningMajor
Sentence Classification using RNN,LSTM,GRUMini
Sentence Classification using word embeddingsMajor
Object Detection using yoloMajor

 

Machine Learning Projects

EDA on movies databaseMini
House price prediction using RegressionMini
Predict survival on the Titanic using ClassificationMini
Image ClusteringMini
Document ClusteringMini
Twitter US Airline SentimentMajor
Restaurant revenue predictionMajor
Disease PredictionMajor

 

Note: Depends upon Trainers above projects may vary

Training Options

Live Online Training

  • Highly practical oriented training
  • Installation of Software On your System
  • 24/7 Email and Phone Support
  • 100% Placement Assistance until you get placed
  • Global Certification Preparation
  • Trainer Student Interactive Portal
  • Assignments and Projects Guided by Mentors
  • And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Live Classroom Training

  • Weekend / Weekdays / Morning / Evening Batches
  • 80:20 Practical and Theory Ratio
  • Real-life Case Studies
  • Easy Coverup if you missed any sessions
  • PSI | Kryterion | Redhat Test Centers
  • Life Time Video Classroom Access ( coming soon )
  • Resume Preparations and Mock Interviews
  • And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

Exam & Certification

Course Reviews

I had a wonderful experience in Radical technologies where i did training in Hadoop development under the guidance of Shanit Sir. He started from the very basic and covered and shared everything he knew in this field. He was brilliant and had a lot of experience in this field. We did hands on for every topic we covered, and that’s the most important thing because honestly theoretical knowledge cannot land you a job.
Rohit Agrawal Hadoop
I have recently completed Linux course under Anand Sir and can assuredly say that it is definitely the best Linux course in Pune. Since most of the Linux courses from other sources are strictly focused on clearing the certification, they will not provide an insight into real-world server administration, but that is not the case with Anand Sir’s course. Anand Sir being an experienced IT infrastructure professional has an excellent understanding of how a data center works and all these information is seamlessly integrated into his classes.
Manu Sunil Linux
I had undergone oracle DBA course under Chetan sir’s Guidance an it was a very good learning experience overall since they not only provide us with theoretical knowledge but also conduct lot of practical sessions which are really fruitful and also the way of teaching is very fine clear and crisp which is easier to understand , overall I had a great time for around 2 months , they really train you well.also make it a point to clear all your doubts and provide you with clear and in-depth concepts hence hope to join sometime again
Reema banerjee Oracle DBA
I have completed Oracle DBA 11g from Radical technology pune. Excellent trainer (chetna gupta ). The trainer kept the energy level up and kept us interested throughout. Very practical, hands on experience. Gave us real-time examples, excellent tips and hints. It was a great experience with Radical technologies.
Mrudul Bhokare Oracle DBA
Linux learning with Anand sir is truly different experience… I don’t have any idea about Linux and system but Anand sir taught with scratch…He has a great knowledge and the best trainer…he can solve all your queries related to Linux in very simple way and giving nice examples… 100 🌟 to Anand Sir.
Harsh Singh Parihar Linux
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