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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Course Overview

In the present times of rapid technological advancements and computerization, it has become extremely important to master the subject of Artificial Intelligence and Learning. This Post Graduate Certificate Program in Artificial Intelligence and Deep Learning has been planned for those candidates who want to master their skills in Machine Learning, Artificial Intelligence and Deep Learning. This blended/online program by Jigsaw Academy is in association with the Manipal Academy of Higher Education (MAHE).

The curriculum of this course has been designed in a way that will help the candidate to have hands-on practice of GPU Labs on real-world Case studies and 100+ hours of Cloud. It will develop an ability to plan and implement AI and DL for various business purposes. It will also focus on transforming the candidate into becoming an AI practitioner and applying machine learning and deep learning tools like Tensorflow, Keras and other algorithms.

The best thing about this program is that it will enrich the participant with detailed knowledge of the subject which will aid them in learning the different strategies to be applied. More than 10+ real-world scenarios will be presented wherein AI has been used across various industries and domains.

The Highlights

  • Online Mode of learning
  • Six months duration
  • Free Python Program as a bridge course
  • 300+ hours course duration
  • 70+ hours of Live Online lectures on Weekends
  • Constant Faculty assistance and technical support
  • Capstone Project 
  • Postgraduate Diploma awarded by Manipal Academy of Higher Education

Programme Offerings

  • assignments
  • Case Studies
  • Online lectures
  • hands on tools
  • live sessions
  • simulation
  • e learning
  • Reading Materials

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesManipal Academy of Higher Education (MAHE)
  • The postgraduate program of artificial intelligence and deep learning fees is Rs 75,000 exclusive of tax.
  • GST has to be paid along with the Principal amount 
  • The international applicants will pay tax which will be $2420.
  • 20% off in terms of Indian currency for MAHE and JA Alumni 

Fee details of the online/blended Postgraduate program in Artificial Intelligence and Deep Learning –

Heading

Amount in INR

The total amount in Indian currency

Rs 75,000 (exclusive of tax)

Tax amount for Indian Applicant

Applicable GST

Tax amount for International Applicant

$ 2420


Eligibility Criteria

Work Experience

This program will be beneficial for working professionals with experience of at least 2 to 8 years.

Education

Participants need to have at least 50 percent of their undergraduate degree to apply for this programme. 

Certification Qualifying Details

This course is of six months wherein the candidate will be exposed to the different opportunities of AI along with assignments and assessments. More than 10 real-life case studies and Capstone projects will be part of this certification program. The candidate will get the certificate after the successful completion of this course, the candidate.

What you will learn

Knowledge of PythonKnowledge of Artificial IntelligenceMachine learningKnowledge of deep learningProgramming skills

After the completion of this Postgraduate Certification Program in Artificial Intelligence and Deep Learning the candidate will master in the following concepts:

  • The central idea and concept of Artificial Intelligence and Deep Learning
  • Developing technical knowledge of the use of AI, ML and DL
  • Learn to develop AI applications such as Chatbot
  • Build Image/Speech Recognition Deep learning models for various industries.
  • Learn to apply the Scikit Learn library, Keras and Tensorflow along with various other tools and algorithms.
  • Get involved in the use of AI and DL using GPU environments
  • Learn the Python program for Data Science
  • Expedite in the market of Artificial Intelligence
  • Gain requisite knowledge of NLP, Graphical Models and Deep Learning which will enable you to deal in Predictive Analytics on real-world problems.
  • Engage in the learning of this new-age technology

Who it is for

Postgraduate Program in Artificial Intelligence and Deep Learning is best suited for candidates who are:

  • IT Professionals
  • Non-IT Professionals

Application Details

For applying to this particular program, the candidate has to follow the undermentioned steps:

Step 1- Visit the page of the portal.

Step 2- The candidate needs to scroll down the page to reach the contact information.

Step 3- An email id info@jigsawacademy.com will be visible.

Step 5- Use the given mail id for queries regarding admissions and enrolment.

Step 6- After receiving the mail, the candidate will be contacted for further discussion and a way forward.

The Syllabus

  • Operations in Pandas and data visualization
  • Basics of python data structures
  • Basics of python programming
  • SciPy packages in python. Pandas and NumPy

  • Overview of AI and scope in future
  • Introduction to Machine Learning and Deep Learning
  • Various Applications of Artificial Learning
  • Consumer Use-Games, Home Automation
  • Enterprise use-Healthcare, Automotive, Retail, Manufacturing

  • ML with SKLearn using Python
  • Types of Machine Learning
  • Training and Deploying models
  • Learning about the popular ML algorithms like Linear Regression, Decision Trees, K-means clustering, K-nearest neighbors (KNN), Support Vector Machine, Logistic Regression

  • Introduction to Text Analytics
  • Text Transformations
  • Lexical Processing
  • Ways of Handling Unstructured Data
  • Corpus Building
  • TF-IDF, TDM, and Other Problems in Text Analytics
  • Document Term Matrix
  • Sentiment Analysis, Document Classification

  • Introduction to Tensorflow
  • Programming Structure in Tensorflow
  • Computational graph and sessions
  • Optimizers
  • Variables, Constants, Placeholders
  • Matrix Multiplication with Tensorflow
  • Optimizers
  • Regression and Classification with Tensorflow
  • What’s new in Tensorflow2.0?

  • Types of NN- RNN, CNN, GAN, Feedforward
  • Training Neutral networks with Tensorflow
  • Common Tensorflow API’s-KERAS, Layers, Estimator
  • Deep Neural Networks and Perceptron
  • Reinforcement Learning

  • Introduction to the sub IR
  • CNN with KERAS
  • Implementation of CNN in Tensorflow
  • Convolutional Neural Networks architecture
  • Object Detection in Video and Images

  • Recurrent Neural Networks-RNN
  • Natural Language Processing-NLP
  • Variations of RNN-LSTM and GRU
  • Time Series Analysis with RNN
  • Training and Building an RNN for speech recognition

Healthcare
  • Diagnostics with X-Ray Data
  • Lung Cancer Detection
Chatbot
  • RNN based Chatbot
  • Conversational Chatbot
  • Dialogue Flow Based

Instructors

Manipal Academy of Higher Education (MAHE) Frequently Asked Questions (FAQ's)

1: Who are the trainers for Postgraduate Program in Artificial Intelligence and Deep Learning?

The trainers to Postgraduate Program in Artificial Intelligence and Deep Learning certification include an active community of industry experts and professionals. They are acclaimed scholars in the related subject matter holding an experience of more than ten years.

2: What are the various job opportunities available after the completion of this course?

The field of AI technology is very lucrative and thus, it opens the scope to various job opportunities. One can apply for job profiles such as AI Software Developer, AI Solutions Architect, AI Engineer or AI Developer.

3: Why is this course important to be learnt for professionals?

Artificial Intelligence is the future of the digitalizing world. It will be used in all industries and the various sectors in the upcoming times. 

4: What are the modes of payment for this program?

Payment for this program can be made through Net Banking, Credit cards, Debit Cards, Cheque or DD.

5: What can be learned after the completion of this program?

After completion of the program, the participant will be able to develop chatbots, work on complex data forms, create algorithms for Speech and Image recognition and leverage ML and DL tools.

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