Get updates on Eligibility, Admission, Placements Fees Structure
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
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)
You will be provided access to the online lab and BootML during the course, so you don’t have to install anything before that.
Yes, the live sessions will be recorded, so you never miss a class.
Yes, you can interact directly with the instructor or post your query on the discussion forum.
After completing Advanced Certification in Machine Learning & AI training, you will be eligible for VLSI, Semiconductor, and other similar industries.
You can get a 100% refund if you apply during the first two instructor-led sessions.