Master in Artificial Intelligence and Machine Learning

Artificial intelligence is widely adapted by every industry, has a huge demand and can fetch you a base salary of US$ 146k. It Up-Skills to derive relevant solutions using machine intelligence with experiential learning methods.

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Work with

Xebia

20 Weeks

Training Duration

8-10 Hrs

Live Virtual Classroom

100%

Placement Assistance

Dec 18th

Next Batch Starts

Overview

Artificial Intelligence is the future of how humans, industries, organizations will consume software and IT systems and operate, manufacture and sell products.

Artificial Intelligence incorporates human intelligence & algorithms to offer comprehensive discernibility into the functionality of the IT systems. The Artificial Intelligence and Machine Learning Courses Online at Xebia enables you to learn techniques by which machines demonstrate specific aspects of human intelligence such as learning, reasoning and self-correction.

The Artificial Intelligence Course aims to develop a strong foundation by using the principles and technologies that consists of many facets of Artificial Intelligence online course including logic, knowledge representation, probabilistic models and machine learning. The Artificial Intelligence training or AI and ML Course also introduces the learner to the landscape of  AI and Machine Learning, AI ML training gives a crystal clear understanding of how multiple technologies like Artificial Intelligence, Machine Learning, Deep Learning, NLP, Data Science are related to each other.

During this course you also learn:

  • The basic concepts of AI and Machine Learning
  • The practical components of developing AI apps and platforms
  • Fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving 
  • Logic and reasoning methods from a computational perspective

Xebia Benefits

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8 Certification Layers

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Launchpad for your IT career

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Basic salary starting from 7lpa

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300+ hours of interactive learning in addition to live virtual sessions

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170+ hours of live mentorship

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Access to Xebia repository

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Real-world solution driven learning through Instruqt

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Virtual Labs for each module

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Extensive industry projects

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One-on-one mentorship and career counselling

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Online analytics presence on GitHub

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Masterclass with CXOs

Curriculum

Best-in-class content by leading faculty and industry leaders in the form of videos, cases studies, projects, assignments and live sessions.

This module introduces the learner with the landscape of AI and Machine Learning, gives a crystal clear understanding of how multiple technologies like Artificial Intelligence, Machine Learning, Deep Learning, NLP, Data Science are related to each other. Morever this module also gives a brief introduction to Deep Learning to the learners.

  • AI Landscape
  • What is Machine Learning?
  • Machine Learning Landscape
  • Deep Learning Overview
  • Activity and Quiz

The core takeaway of this module is the skillset of Python & its packages for Data Analytics. The learner gets to learn python from very basics, going through data types, control flow and functions the learner will get to work on data files, will learn how to import, export, clean, manipulate, visualize, analyse data to generate insights from data to answer business questions. This completion of this module makes the learner an entry level Data Analyst and a Python Programmer.

  • Python Basics - Data Types, Control Flow and Functions
  • Python - OOPs and common packages
  • Numpy and Pandas for Data Science
  • Data Visualization with Python
  • Statistics with Data
  • Exploratory Data Analytics wih Python
  • Quiz

Best-in-class content by leading faculty and industry leaders in theform of videos, cases and projects, assignments and live sessions.

  • Git
  • Github/Gitlab
  • Collaborators
  • Git Basic Commands
  • Branch, Merge & Rebase

The objective of this module is to make learner get started with using Machine Learning algorithms, learn and identify different performance metrics to assess quality of ML algorithms. This module takes the learner through all ML algorithms which are widely used in Industry. At the end learner also goes throught Ensemble Learning models like Random Forest, Gradient Boosting Trees and XGBoost.

  • Getting started with Scikit-learn
  • Linear Regression
  • Logistic Regression
  • Decision Tree & KNN
  • Project
  • Ensemble Learning

Learning objectives of this module includes pattern discovery using unsupervised machine learning problems like clustering, anomaly detection and dimensionality reduction. The module also takes the learner through more powerful and highly non linear algorithms like SVM and ANN. The end of this module makes the learner eligible to apply for Entry level Data Scientist jobs.

  • Unsupervised Machine Learning 6
  • Support Vector Machine 2
  • Artificial Neural Networks 10
  • Different Strategies

The learning objectives of this module includes getting started with Deep Learning algorithms, learning and understanding basics of image processing with openCV. The modules introduces the most popular framework used in industry for deep learning and computer vision - TensorFlow to the learners. The modules makes learner work with the most demanding use cases of computer vision in industry like single label and multilabel image classification, using transfer learning for building powerful image classifiers and taggers and working with object localization and object detection using TensorFlow. The end of this module makes the learner an entry level computer vision engineer.

  • Image Processing with openCV
  • Neural Networks overview
  • Getting started with Tensorflow & Tensorboard
  • Convolutional Neural Networks
  • Transfer Learning with CNN for Computer Vision
  • Object Localization and Object Detection

The objective of this module includes make learner getting started with working with text and audio data; working on text vectorization using TFIDF, countvectorzation to perform text classification. The learner also gets to work with most demanding use cases of NLP like Topic modelling, Named Entity Recognition and social media analytics. This module also takes the learner to use deep learning algorithms such as RNN and LSTM to perform text classification, text generation and building chatbots. Finally this module takes the learner through most advanced techniques of NLP by using transfer learning, how to consume popular pretrained models like Elmo, universal sentence encoder and BERT. This module finally makes the learner eligible for the position of NLP Engineer.

  • Getting started with NLTK, spaCy and gensim
  • Text & Speech Processing with Python
  • Text Vectorization and Classification
  • NER, Topic Modelling and Text Social Media Analytics
  • RNN & LSTM
  • Text Classification with LSTM
  • Text Generation, Chatbots with LSTM
  • Transfer Learning with NLP

This module takes the learner through the approaches of deploying an ML model in production, production common challenges and best practices. The module also introduces the best practices at each phase of an ML lifecycle - data cleaning, feature engineering, overfitting, underfitting, speed improvement and deployment. This module also takes the learner through available cloud services for working with ML projects, pretrained APIs from different cloud service providers and more exclusively through Microsoft Azure services for AI and ML. The end of this module makes the learner an AI Architect and an AI Engineer.

  • Deploying apps with Flask
  • AutoML and Best practices in ML and Deep Learning
  • ML with Azure Cloud

Prerequisite

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A prior coding experience and a good hold in mathematics will be beneficial.

Skills you will learn in the course

1. The Fundamentals

The basics of AI and Machine Learning.

2. Practical Implementation

The practical components of developing AI apps and platforms.

3. Essential Components of AI/ML

In depth about fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving.

4. Methods of Logic and Reasoning

to identify logic and reasoning methods from a computational perspective.

5. In-Depth Machine Learning

You’ll learn about agent, search, probabilistic models, perception and cognition, and machine learning

6. Mathematical Modelling & Statistics

Applying statistical analysis to datasets

PLACEMENT ASSISTANCE

Boost your Career with Xebia. Once you complete robust training in the latest tools and technologies, deserving candidates will also receive a Letter of Intent (LoI) assuring them of a placement at Xebia and in other reputed IT enterprises. You also earn industry-recognized course completion certificate.

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LANGUAGE AND TOOL

Accelerate your career

We provide in-depth training in IT courses that promise high career prospects. Apart from providing experiential learning through Capstone projects and Hackathons, we also provide students the opportunity to learn-by-doing on our challenge-driven learning platform, INSTRUQT.

Cloud Labs

A Challenge-driven learning platform, Instruct is a unique concept for IT-related learning in the challenge driven times of today. The program has been created to benefit both the beginner and those who are looking forward to upskilling their expertise. Instruct enables this by scaling efficiently in a cost-effective way with a fresh approach.

  • Easy to Use Platform: Access from your browser, without the hassle of downloading the software.

  • Works with any Operating System: Linux, Windows, Google Cloud, AWS, it works with all.

  • Private and easy to launch Sandbox: Explore your technologies on the go with no disruptions.

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Career Expansion

  • 75% of Netflix users select films recommended to them by the company’s machine learning algorithms.

  • According to Forbes, the global Machine Learning (ML) market will be worth $30.6B in four years.

  • Tractica predicts annual global AI software revenue will grow from $10.1B in 2018 to $126.0B by 2025, achieving a CAGR of 43.41%.

Career Path

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Salary

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Experiential learning

At Xebia Academy, we don’t believe in the concept of rot learning, but give our students first-hand experience of the subject they are pursuing. Our curriculum is designed in such a way that students experience what it is too work like an AI or Big Data or Full Stack professionals with assignments including Capstone Project, Hackathons, Networking Sessions with experts, Community Interaction & Blogs writing.

  • Capstone Project
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    Get independent Research Projects

    Engage in debates with peers

    Avail faculty Guidance and assistance

  • Hackathons
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    Get challenging Assignments

    Thrive in a Job-like environment for industry-ready development

    Get discovered by high-paying employers

  • Networking Sessions
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    Interact with Experts

    Get professional-growth tips

    Learn from the gurus of the field

  • Community Interactions
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    Get access to online IT community platforms

    Share knowledge through blogs and articles

    Be a part of IT discussion forums

HOW TO BECOME A PROFICIENT AIML DEVELOPER

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Connect

Get in touch with our learning executive to find the schedule that fits you

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Enroll

Go through the enrolment process of Xebia Academy Global

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Train

Get trained by the exceptional trainers with a wide industry experience

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Placed

Get an LOI from Xebia Academy and full assistance in placements and internships

OUR ALUMINI WORK AT

Know your Trainers

LEARN THE XEBIA WAY

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World Class Digital Content

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Live Virtual Classrooms

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LMS

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Hand on Lab

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Mentorship

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Assessment

FAQs

In order to apply for the program, you need to meet all of the following criteria. The applicant should have:

  • Should have either passed out or is in the last year of undergraduate degree like B.Tech./B.E./B.Sc./BCA or any other degree with adequate mathematics and computation components.

Yes, the program requires you to have enough prior coding experience, we will require you to pass an aptitude and programming test on C++ to go through the program.

The admissions process is completely online and is customised as per your educational and professional profile. Following are the key steps in the application process:

Step 1: You must apply for the program on Xebia Academy or HackerEarth website. The application form will capture information related to your educational and professional experience.

Step 2: Post application, the suitability of your profile will be evaluated. You will be required to appear for a 60-minute online entrance exam to test your programming aptitude.

Step 3: Shortlisted candidates will receive a provisional Letter of Intent. Final admission offers will be granted upon payment of the full program fee and successful submission of the required documents.

Artificial intelligence is being used for a variety of applications for the purpose of making computers smarter, and below are some of the jobs you can apply for with a degree and certification in AI.

  • Machine Learning Engineer
  • Data Scientist
  • Artificial Intelligence Engineer
  • Data Analyst
  • Machine Learning Architect

The certification is valid for a lifetime. You do not need to renew it.

The trainers at Xebia Academy Global are Certified Programming experts with an impressive experience and a passion for teaching.

The study material provided by Xebia Academy Global is comprehensive, up-to-date, and extremely helpful in your training.

CAREER SERVICE

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One on One Mentoring

Get guidance from industry Experts and mentors who would help you identify the right opportunities, recognize your strengths, help you prepare for interviews, pitch yourself the right way, help in salary negotiations and land you in the right job.

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Individual Coaching Reports

Get individual coaching reports from time to time, to help you understand your progression in the course and know areas of improvement, where you can focus more.

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Career portal access for Job opportunities

This is an an exclusive career portal for Xebia students wherein you can apply for jobs suitable to your area of interest and qualification. This will help you find, prepare and apply for your dream job at the best IT organizations across the world.

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Live Interview Sessions

Gain insights into real interview sessions. Attend mock interviews to prepare for the real ones. Schedule these interviews and also get instant feedback that will help you get better at interview skills and give you the confidence to face real interviews and clear them with ease.

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