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Certificate Program in Artificial Intelligence

The goal of this certificate program is to get you career-ready in the AI/ML industry. Designed and delivered by industry experts, we present this Certificate Program in AI in collaboration with IBM. This program finds the perfect balance between theory and practice. The program blends high-quality self-paced content with live-online classes from industry veterans. There is plenty of lab and project work for your practice. You will undertake two capstone projects to help you prove and showcase your newfound skills. Our program comes with teaching assistance and optional career support. Get globally recognized certification. Get started on your AI/ML journey today. 

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In collaboration with
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Program Highlights

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IBM Certification

Our program comes with globally recognized IBM certifications at both course and program levels to showcase your knowledge and skills in AI and ML. 

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Comprehensive Courseware

This intensive curriculum is paced with a unique blend of instructor-led classes, self-paced courses, and hands-on labs to ensure a thorough understanding of each subject.

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Hands-on Approach

The program comes with frequent assessments and project work for each course in the learning path and two capstone projects to make you a better AI/ML engineer.

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Expert Instructors

Having worked for corporations such as Accenture, Amadeus, Syntel, Nielsen and Cognizant, our hand-picked instructors come with a large range of experience, technical expertise and a clear vision of the industry's needs. 

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Capstone Projects

Get your hands dirty by working with two capstone projects which would entail working on business cases and presenting a solution for the problem statements by applying all the skills and concepts you've learned thus far. 

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Program Support

Our subject matter experts with industry-experience and technical know-how will be extremely happy to guide you through your assignments and project work and are always ready to help you with any questions you may have through your learning journey.

Learning Objective

This rigorous program is designed to give in-depth knowledge of the skills required for a successful career in ML/AI. The program is a combination of Data Science, Machine Learning, Deep Learning, and Artificial Intelligence and is designed to give you a solid understanding of advanced tools, their usage, and models. 


Specifically, this program is aligned with the following learning objectives:

    • Understanding data structure and data manipulation in-depth

    • Learning to perform scientific and technical computing by using Scipy and its sub-packages including Optimize, IO, Statistics, and Weave

    • Mastering mathematical computing using Numpy and Scikit-Learn packages

    • Understanding the concepts of supervised and unsupervised learning models together with TensorFlow, its functions, the operations, and execution

    • A detailed look at applying machine learning in order to process large natural language data

    • Deep diving into new applications of computer vision techniques through deep learning including face recognition, indexing, photo stylization among others.


Program Syllabus

Course 1
Data Science with Python

This course will first cover the basics of python programming with a self-paced module that includes an assessment provided by IBM. Our course will then dive head-first into the data science and machine learning libraries that python provides and then ensures that the knowledge you gain translates into tangible skills with the help of expert-tailored project work.

Course Schedules
schedules timings
18,19,25,26,02,03,09,10
Apr-May 2020
 3am - 7am
18,19,25,26,02,03,09,10
Apr-May 2020
 10am - 2am
18,19,25,26,02,03,09,10
Apr-May 2020
 9pm - 1am
02,03,09,10,16,17,23,24
May 2020
 11:30pm - 3:30am
29,30,05,06,12,13,19,20
May-Jun 2020
 1am - 5am
30,31,06,07,13,14,20,21
May-Jun 2020
 3am - 7am
30,31,06,07,13,14,20,21
May-Jun 2020
 10am - 2am
30,31,06,07,13,14,20,21
May-Jun 2020
 9pm - 1am
30,31,06,07,13,14,20,21
May-Jun 2020
 1am - 5am
30,31,06,07,13,14,20,21
May-Jun 2020
 11:30pm - 3:30am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 10am - 2am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 3am - 7am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 11:30pm - 3:30am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 1am - 5am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 9pm - 1am
25,26,01,02,08,09,15,16
Jul-Aug 2020
 11:30pm - 3:30am
22,23,29,30,05,06,12,13
Aug-Sep 2020
 11:30pm - 3:30am
Course Curriculum
  • Data Science Overview
  • Data Analytics Overview
  • Statistical Analysis and Business Applications
  • Python Environment Setup and Essentials
  • Mathematical Computing with Python (NumPy)
View all
Course 2
Machine Learning

Machine learning is a form of artificial intelligence where the focus is to develop computer programs that automate data analysis by learning and adapting through the experience without the need for precise programming. Our course has been designed to help you master machine learning concepts and techniques working with actual data, developing algorithms through supervised and unsupervised learning, performing classification and regression operations and constructing time series models. This course explores in depth the libraries and functionalities the python programming language offers for machine learning techniques in order to draw conclusions from data. The course includes 2 projects to solidify your knowledge and skills you've gained.

Course Schedules
schedules timings
02,03,09,10,16,17,23,24
May 2020
 11:30pm - 3:30am
30,31,06,07,13,14,20,21
May-Jun 2020
 9am - 1am
30,31,06,07,13,14,20,21
May-Jun 2020
 11:30pm - 3:30am
30,31,06,07,13,14,20,21
May-Jun 2020
 3am - 7am
30,31,06,07,13,14,20,21
May-Jun 2020
 9pm - 1am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 3am - 7am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 11:30pm - 3:30am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 9am - 1am
27,28,04,05,11,12,18,19
Jun-Jul 2020
 9pm - 1am
03,04,10,11,17,18,24,25
Jul 2020
 1am - 5am
25,26,01,02,08,09,15,16
Jul-Aug 2020
 3am - 7am
25,26,01,02,08,09,15,16
Jul-Aug 2020
 9pm - 1am
25,26,01,02,08,09,15,16
Jul-Aug 2020
 9am - 1am
25,26,01,02,08,09,15,16
Jul-Aug 2020
 11:30pm - 3:30am
07,08,14,15,21,22,28,29
Aug 2020
 1am - 5am
22,23,29,30,05,06,12,13
Aug-Sep 2020
 11:30pm - 3:30am
04,05,11,12,18,19,25,26
Sep 2020
 1am - 5am
19,20,26,27,03,04,10,11
Sep-Oct 2020
 11:30pm - 3:30am
Course Curriculum
  • Introduction to Artificial Intelligence and Machine Learning
  • Data Wrangling and Manipulation
  • Supervised Learning
  • Feature Engineering
  • Supervised Learning
View all
Course 3
Deep Learning with TensorFlow

Deep Learning is one of the exciting elements of Artificial Intelligence and Machine Learning technologies and is capable of discovering hidden features within unstructured and structured data. TensorFlow, created by Google, is one of the best-known libraries to implement deep learning in the organizations to solve the problems. GreyCampus Deep Learning with TensorFlow certification course familiarises the learners with the fundamental concepts of neural networks, among others. This course helps a learner build deep learning models, interpret the result, and build their own deep learning projects.

 

Course Schedules
schedules timings
30,31,06,07,13,14,20
May-Jun 2020
 11:30pm - 3:30am
30,31,06,07,13,14,20
May-Jun 2020
 10am - 1pm
27,28,04,05,11,12,18
Jun-Jul 2020
 10am - 1pm
27,28,04,05,11,12,18
Jun-Jul 2020
 11:30pm - 3:30am
25,26,01,02,08,09,15
Jul-Aug 2020
 10am - 1pm
25,26,01,02,08,09,15
Jul-Aug 2020
 11:30pm - 3:30am
22,23,29,30,05,06,12
Aug-Sep 2020
 11:30pm - 3:30am
19,20,26,27,03,04,10
Sep-Oct 2020
 11:30pm - 3:30am
11,17,18,24,25,31,01
Oct-Nov 2020
 11:30pm - 3:30am
Course Curriculum
  • Introduction to TensorFlow
  • Understanding Deep Learning
  • Activation Functions
  • Artificial Neural Networks
  • Gradient Descent and Backpropagation
View all
Course 4
Natural Language Processing

Natural Language Processing is a subfield of Artificial Intelligence that applies analytical tools to process and analyze huge natural language data. This course begins with the basics of NLP and feature engineering before moving on to the techniques by which natural language can be computed and generated, what processing libraries are out there for NLP and finally, NLP in the context of ML and the methods of speech recognition.

Course Schedules
schedules timings
30,31,06,07,13,14,20
May-Jun 2020
 4am - 7am
30,31,06,07,13,14,20
May-Jun 2020
 10am - 1pm
30,31,06,07,13,14,20
May-Jun 2020
 11:30pm - 3:30am
30,31,06,07,13,14,20
May-Jun 2020
 9pm - 12am
27,28,04,05,11,12,18
Jun-Jul 2020
 11:30pm - 3:30am
27,28,04,05,11,12,18
Jun-Jul 2020
 10am - 1pm
27,28,04,05,11,12,18
Jun-Jul 2020
 4am - 7am
27,28,04,05,11,12,18
Jun-Jul 2020
 9pm - 12am
03,04,10,11,17,18,24,25
Jul 2020
 1am - 4am
25,26,01,02,08,09,15
Jul-Aug 2020
 4am - 7am
25,26,01,02,08,09,15
Jul-Aug 2020
 9pm - 12am
25,26,01,02,08,09,15
Jul-Aug 2020
 10am - 1pm
25,26,01,02,08,09,15
Jul-Aug 2020
 11:30pm - 3:30am
07,08,14,15,21,22,28,29
Aug 2020
 1am - 4am
22,23,29,30,05,06,12
Aug-Sep 2020
 11:30pm - 3:30am
04,05,11,12,18,19,25,26
Sep 2020
 1am - 4am
19,20,26,27,03,04,10
Sep-Oct 2020
 11:30pm - 3:30am
11,17,18,24,25,31,01
Oct-Nov 2020
 11:30pm - 3:30am
Course Curriculum
  • Introduction to Natural Language Processing
  • Feature Engineering on Text Data
  • Natural Language Understanding Techniques
  • Natural Language Generation
  • Natural Language Processing Libraries
View all
Course 5
Computer Vision

Computer Vision is an interdisciplinary field of study. This field includes methods for collecting, processing, interpreting and understanding images, and videos automatically. It deals with enabling computers to process high level and complex digital images and videos. Its principal objective is to process pictures critically the way a human eye does for various outcomes. The course provides a more in-depth understanding of the role of Convolutional Neural networks. Further, it talks about the knowledge of transfer learning, object localization, object detection, and using TensorFlow. Finally, the course talks about segmentation.

Course Schedules
schedules timings
30,31,06,07,13,14,20
May-Jun 2020
 9pm - 12am
30,31,06,07,13,14,20
May-Jun 2020
 10am - 1pm
30,31,06,07,13,14,20
May-Jun 2020
 3am - 6am
30,31,06,07,13,14,20
May-Jun 2020
 11:30pm - 3:30am
30,31,06,07,13,14,20
May-Jun 2020
 4am - 7am
27,28,04,05,11,12,18
Jun-Jul 2020
 11:30pm - 3:30am
27,28,04,05,11,12,18
Jun-Jul 2020
 4am - 7am
27,28,04,05,11,12,18
Jun-Jul 2020
 10am - 1pm
27,28,04,05,11,12,18
Jun-Jul 2020
 9pm - 12am
27,28,04,05,11,12,18
Jun-Jul 2020
 3am - 6am
03,04,10,11,17,18,24,25
Jul 2020
 1am - 4am
25,26,01,02,08,09,15
Jul-Aug 2020
 4am - 7am
25,26,01,02,08,09,15
Jul-Aug 2020
 3am - 6am
25,26,01,02,08,09,15
Jul-Aug 2020
 9pm - 12am
25,26,01,02,08,09,15
Jul-Aug 2020
 10am - 1pm
25,26,01,02,08,09,15
Jul-Aug 2020
 11:30pm - 3:30am
07,08,14,15,21,22,28,29
Aug 2020
 1am - 4am
22,23,29,30,05,06,12
Aug-Sep 2020
 11:30pm - 3:30am
04,05,11,12,18,19,25,26
Sep 2020
 1am - 4am
19,20,26,27,03,04,10
Sep-Oct 2020
 11:30pm - 3:30am
11,17,18,24,25,31,01
Oct-Nov 2020
 11:30pm - 3:30am
Course Curriculum
  • Introduction to Computer Vision
  • CNN Architectures - ResNet, Inception, MobileNet etc
  • Transfer Learning
  • Object Detection - Faster-RCNN
  • Object Detection Architectures - SSD, YOLO
View all
Capstone Project 1

Face Recognition


How do we know who is in a picture or a scene? Who was the person that passed through the company’s gate? We can use Facial recognition to answer such questions. Facial recognition is a biometric solution that measures the unique characteristics of one’s face. Given an image or a video capture of a scene with one or more faces, the project is designed to use Convolutional Neural network (CNN) to detect and classify each face as one of the persons whose identity is already known or as an unknown face.


Topics: Object Detection, Siamese Network, CNN, Tensorflow, Keras, Python 

Capstone Project 2

Fake News Detection


Fake news is increasingly becoming a threat to our society. It is typically generated for increasing commercial interests—attract viewers and collect more advertising revenue. In this project, you will build a model that can predict whether a piece of news is fake by using techniques learned in Natural Language Processing (NLP).


Topics: NLP, Long Short term memory (LSTM), Word2Vec, Tensorflow, Keras, Python 

  • certificate

    Get IBM Certified!

    This certificate is awarded on successful completion of all the modules and the capstone projects belonging to the program. 

  • certificate

    GreyCampus Certificate

    This certificate is awarded on successful completion of all the modules and the capstone projects belonging to the program. 

INR 44,999
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Career Services

Interview Preparatory Support

As part of this process, you will have exclusive access to E- material and videos with sample interview questions and answers along with videos to revise key topics for the interview and also tips that help you to clear any HR / technical round. Exclusive support to clarify your doubts and answer your questions will motivate and prepare you for your coming interview.

Profile Building Assistance

During this process, our experts help you in understanding the expectations of the industry and support you in preparing the resume better to suit the requirements. Our team will assist you in redesigning your GitHub profile, portfolio-worthy projects and resume to showcase the best of you to land on your dream job in a week’s time. This process boosts your profile to get notified by recruiters, by identifying the areas that require more emphasis and evaluating your profile.

Mock Interviews

All the mock interviews are tailored to the roles that you wish to apply. A detailed review is provided after the interview. The feedback includes the topics you excelled and also where you need more focus to clear an interview. You will also gain an insight into your competencies concerning your job applications. Mock interviews and sample answers from these sessions accustom you to ace any interview.

*Available as an additional addon.

About Our Course Advisors

  • Joe San Pietro is a Course Advisor for GreyCampus, a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management and Quality Management. He is working with GreyCampus to design and deliver best-in-class curricula to the next generation of data scientists.

    As a corporate trainer, Joe leverages his Microsoft Certified Trainer (MCT) expertise to deliver Microsoft’s AI and data engineering courses to management teams across many sectors.


  • Rajeev Kumar is a highly optimistic individual that has worked with Fortune 100 clients including Google, IBM, and Disney. With over 22 years of experience in the IT industry, Rajeev has turned his focus for the past 5 years towards Data Science and AI/ML. To this end, he has come up with Data Science and AI/ML backed solutions in various fields, from Fashion to Education. His solutions have saved millions of dollars on costs to his clients.

    Rajeev is committed to sharing his learnings with enterprises to build Data Science and AI capabilities for their domains to make exponential gains.

Frequently Asked Questions

Who should take this course?

As the demand for Artificial Intelligence and Machine Learning Engineer is growing at a fast rate this program is suited for a variety of professionals, including: 

  • Business Analysts aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer 
  • Information Architects wanting to gain expertise in Artificial Intelligence algorithms 
  • Graduates looking to build a career in ML/AI 
  • Experienced professionals willing to harness Artificial Intelligence in their fields
Why GreyCampus?

GreyCampus’s effective LMS blends live instructor-led classes, self-paced courses, hands-on labs, and social forums to bring an engaging learning experience.

  • Self-Paced courses: Course developed by industry veterans that you can learn at your own pace
  • Instructor-led Training: Engage yourself in high quality, interactive online classes taught by industry experts that can be attended from anywhere around the world
  • Practice Labs: Gain hands-on experience with our integrated labs and case studies
  • Applied Projects: Industry relevant real-world projects and case studies to implement the learning
  • Certification recognized by Industries: Recognized certification gives an added advantage to apply for best jobs in the industry
Should the course be completed in a specific order?

The Artificial Intelligence and Machine Learning Engineer Program recommends an ideal learning path for becoming an ML/AI Engineer and does not enforce the learner to follow the order of course completion. Thus, the learner can complete the course in the order they intend to learn. 

What is the Capstone Project?

A Capstone project helps the learner consolidate the concepts and skills gained through the course of the Post Graduate Program. The project involves tackling a given business case problem statement as an AI/ML engineer.


What are the prerequisites of this course?

There are no prerequisites for enrolling in the GreyCampus Artificial Intelligence Program. The program assumes no prior knowledge from you, covering all the basics before getting into the depth of the subject.

What job roles will the Certificate Program in AI prepare you for?
  • The Job roles that are ideal for the learners upon completion of this prom are:
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Data Analyst/Manager
  • Statistical Programming Specialist
When can I avail the Interview preparatory support?

This service can be availed towards the end of completing your program (75% completion of the program). After availing for the career support service, you will instantly receive interview preparatory support as a welcome note.

When can I avail the Profile Building Assistance?

This service can be availed along with the interview preparatory service towards the end of the program  (75% completion of the program). You can avail this when you are ready to look for a job, we will immediately proceed to the profile building assistance. This entire process may take up to a week depending on the work your profile needs. 

When can I avail Mock Interviews?

This service can be availed from the 3rd month of the program. As part of this process, we reach you and schedule one to many mock interviews based on the availability of dates.

How long will this service be available?

This service is available for 3 months from the date of starting this service. 

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