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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The Advanced Certification in Machine Learning & AI is an 8-month long course curated for the online medium. The programme partner is CloudxLab, and it provides a comprehensive curriculum. You will learn some latest programming languages and tools like Numpy, Pandas, Scikit-Learn, RNNs, Tensorflow 2.0, CNNs, SVM, GANs, and more during the course. You will also work on 25+ projects to gain some practical experience.

Furthermore, CloudxLab’s Advanced Certification in Machine Learning & AI offers features such as blended learning, timely doubt resolution, and a best-in-class curriculum. You will also get 270 days of Cloud lab access and a Certificate of completion by E&ICT Academy, IIT Roorkee. After completing this course, you will solve real industry problems and be eligible for VLSI, Semiconductor, and similar industries.

Finally, the Advanced Certification in Machine Learning & Artificial Intelligence programme offers a mix of live instructor-led training and interactive self-paced lectures. A discussion forum facilitates peer-to-peer interaction and 24*7 support for academic queries.

The Highlights

Cloud Lab Access
25+ projects
Hands-on experience
Timely Doubt Resolution
Discussion forum
8 Months of Blended Learning
Certificate of Completion by IIT Roorkee

Programme Offerings

25+ projects
timely doubt resolution
Access to Cloud lab
Hands-on Experience
Certificate issued by E&ICT Academy
IIT Roorkee
Capstone Projects

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIT Roorkee

You can pay the course fee for CloudxLab’s Advanced Certification in Machine Learning & AI through 2 payment options.

Advanced Certification in Machine Learning & AI fee structure

Course Name	Fee in INR
Advanced Certification in Machine Learning & AI (Programme fee)	69,999
Advanced Certification in Machine Learning & AI (No cost EMI option)	8,750/Month

Eligibility Criteria

To understand the Advanced Certification in Machine Learning & AI, you must be familiar with any programming language or Linux.

To get the Advanced Certification in Machine Learning & AI certificate, you must attend a minimum of 60% live sessions, complete six guided projects, and analyse emails from Python. You must also complete one capstone project, three compulsory Machine learning projects, and two mandatory projects from Deep Learning. Above all, you must meet all the requirements in 8 months to be eligible for the certificate.

What you will learn

Machine learningKnowledge of deep learning

The Advanced Certification in Machine Learning & AI online programme will educate you on:

Deep learning and machine learning
Training deep neural networks
Reinforcement learning
Processing sequences using CNNs and RNNs
Training and custom models with TensorFlow

Admission Details

Visit the course page for Advanced Certification in Machine Learning & AI here.
If the course is available, click on the ‘Apply now’ option.
Fill the application form with all the required details and write a Statement of Purpose (SOP) before submitting it.
Your application will be reviewed, and your application status will change within 48 hours.
After confirmation, pay the course fee to access the self-paced material.

Application Details

To register yourself in CloudxLab’s Advanced Certification in Machine Learning & AI, you must create a free account on the website using your Gmail address. Next, fill the application form by entering your basic details like name, DOB, gender, email address, LinkedIn profile, etc. Then enter your education details that include the highest qualification, college name, specialisation, percentage, year of passing, and any programming languages you know.

The next step is to add your work experience (if any) and a reference from your organisation. If you are a student, you don’t have to go through this step and choose the student option. Finally, write a statement of purpose of a maximum of 500 words and submit your application.

The Syllabus

Linux for Data Science/ Machine Learning
Getting Started with Git
Python Foundations
Machine Learning Prerequisites(Including Numpy, Pandas and Linear Algebra)
Getting Started with SQL
Statistics Foundations

Introduction to Machine Learning and Deep Learning
Data Preprocessing, Regression - Build end-to-end Machine Learning Project
Classification
Machine Learning Algorithms
Introduction to Artificial Neural Networks with Keras
Training Deep Neural Networks
Custom Models and Training with TensorFlow
Loading and Preprocessing Data with TensorFlow
Deep Computer Vision using Convolutional Neural Network
Processing Sequences Using RNNs and CNNs
Natural Language Processing Concepts and RNNs
Representation Learning & Generative Learning Using autoencoders and GANs
Reinforcement Learning

Churn Email Inbox with Python
Predicting the median housing prices in California
Classifying handwritten digits in MNIST dataset
Noise removal from images
Building Spam Classifier
Predicting Titanic Passenger Survival using Machine Learning and Python
Image Classification with Pre-trained InceptionV3 Network
Host an Image Classification App on Heroku
Predicting Noisy Images using KNN Classifier
Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset
Deploy an Image Classification Model using Flask
Build a Sentiment Classifier using Python and IMDB Reviews
Mask R-CNN with OpenCV for Object Detection
Image Classification with Pre-trained Keras models
Build a Neural Network for Image Classification with TensorFlow
Neural Style Transfer using Deep Learning & TensorFlow 2 (Art Generation Project)
Credit Card Fraud Detection using Machine Learning
Image Stitching using OpenCV and Python (Creating Panorama Project)
Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras
Introduction to Transfer Learning (Cat vs Non-cats Project)
Building Cat vs Non-Cat Image Classifier using NumPy
Iris Flowers Classification using Deep Learning & Keras
Classify Clothes from Fashion MNIST Dataset
Face recognition - Identify person from digital image or video
Reinforcement learning using Open Gym

Instructors

IIT Roorkee Frequently Asked Questions (FAQ's)

1: Which software do I need to install before starting the course?

You will be provided access to the online lab and BootML during the course, so you don’t have to install anything before that.

2: Will the live sessions be recorded?

Yes, the live sessions will be recorded, so you never miss a class.

3: Can I interact with the instructors?

Yes, you can interact directly with the instructor or post your query on the discussion forum.

4: Which industries will I be eligible for after completing this course?

After completing Advanced Certification in Machine Learning & AI training, you will be eligible for VLSI, Semiconductor, and other similar industries.

5: Is it possible to get a fee refund?

You can get a 100% refund if you apply during the first two instructor-led sessions.