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.
Program Highlights
Our program comes with globally recognized IBM certifications at both course and program levels to showcase your knowledge and skills in AI and ML.
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.
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.
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.
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.
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
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.
| schedules | timings |
|---|---|
|
04,05,11,12,18,19,25,26
Apr 2020 |
11:30pm - 3:30am |
|
18,19,25,26,02,03,09,10
Apr-May 2020 |
9pm - 1am |
|
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 |
|
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 |
1am - 5am |
|
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 |
10am - 2am |
|
30,31,06,07,13,14,20,21
May-Jun 2020 |
9pm - 1am |
|
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 |
1am - 5am |
|
27,28,04,05,11,12,18,19
Jun-Jul 2020 |
9pm - 1am |
|
27,28,04,05,11,12,18,19
Jun-Jul 2020 |
11:30pm - 3:30am |
|
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 |
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Data Science Overview
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Data Analytics Overview
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Statistical Analysis and Business Applications
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Python Environment Setup and Essentials
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Mathematical Computing with Python (NumPy)
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.
| 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 |
10am - 2am |
|
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 |
10am - 2am |
|
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 |
10am - 2am |
|
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 |
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Introduction to Artificial Intelligence and Machine Learning
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Data Wrangling and Manipulation
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Supervised Learning
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Feature Engineering
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Supervised Learning
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.
| 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 |
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Introduction to TensorFlow
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Understanding Deep Learning
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Activation Functions
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Artificial Neural Networks
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Gradient Descent and Backpropagation
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.
| 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 |
11:30pm - 3:30am |
|
27,28,04,05,11,12,18
Jun-Jul 2020 |
10am - 1pm |
|
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 |
-
Introduction to Natural Language Processing
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Feature Engineering on Text Data
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Natural Language Understanding Techniques
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Natural Language Generation
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Natural Language Processing Libraries
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.
| 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 |
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Introduction to Computer Vision
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CNN Architectures - ResNet, Inception, MobileNet etc
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Transfer Learning
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Object Detection - Faster-RCNN
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Object Detection Architectures - SSD, YOLO
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
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
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Get IBM Certified!
This certificate is awarded on successful completion of all the modules and the capstone projects belonging to the program.
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GreyCampus Certificate
This certificate is awarded on successful completion of all the modules and the capstone projects belonging to the program.
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.
About Our Course Advisors
Frequently Asked Questions
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
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
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.
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.
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.
- 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
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.
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.
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.
This service is available for 3 months from the date of starting this service.