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
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.
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.