- In this module, you will master the Python concepts and skills required to excel in AI & ML. This includes Python libraries, such as NumPy, SciPy, Matplotlib, etc., along with Python objects, classes, and more.
- Introduction to Linux and File Management
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PG Certification in AI and Machine Learning
Learn about the fundamental and advanced concepts of artificial intelligence and machine learning in this course.
Online
12 Months
₹ 85,044
Quick facts
particular | details | |||
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Collaborators
IBM,
+1 more
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays, Weekends
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Course overview
The PG Certification in AI and Machine Learning online course is a study on the different aspects and techniques involved in the principles of artificial intelligence and machine learning. The course is provided by Intellipaat with the faculty and certification offered by the E&ICT academy and Malaviya National Institute of Technology, Jaipur. This online program is provided in collaboration with the leading innovators of the industry, IBM and Microsoft. The program is scheduled for the students to be completed by nine months with independent learning videos, live sessions, and projects.
The course curriculum is robustly designed to gain industrial exposure and knowledge to overcome technical and technological challenges with AI and ML. The students of this program will acquire various skills and will get familiarised with the software tools to improve AI and ML techniques. The students after completing the ‘PG Certification in AI and Machine Learning program are provided with benefits and certification for skill development.
The highlights
- Online mode
- Twelve months classes
- Live sessions
- MNIT Faculty
- Mentorship
- Alumni Support
- Certifications
Program offerings
- 122 hours of videos
- More than 80 live sessions
- Assignments
- Projects
- Professional support
- Interviews
- Profile building
- Counselling session
- Career development
- Course certification
Course and certificate fees
Fees information
- The students applying for the ‘PG Certification in AI and Machine Learning’ course should pay the admission fee to secure the seat.
- No Cost EMI Starts at Rs 4,999
PG Certification in AI and Machine Learning fee structure
Head | Amount in INR |
Course fee | Rs 85,044 |
certificate availability
certificate providing authority
Eligibility criteria
Certificate qualifying details
The students of this program are given the ‘PG Certification in AI and Machine Learning’ certificate by E&ICT and MNIT Jaipur after completion of the course and they can also receive the SQL Certification from Microsoft.
What you will learn
The PG Certification in AI and Machine Learning syllabus is developed for the students to develop skills such as machine learning models, regressing modeling, classification modeling, Random Forest, Decision Tree Models, K-means clustering, Time-Series Prediction Model, Deep Learning, TensorFlow, Neural Networking, CuPy, Keras, PyTorch, Natural Language Processing, computer vision, and SQL.
By the end of this course, students are ensured with the expertise of artificial intelligence and machine learning through the project experience and understanding of the software functionalities.
Who it is for
The PG Certification in AI and Machine Learning online certification is designed for individuals who wish to develop a career in artificial intelligence and machine learning while it also enables industry professionals to enhance their skills. The course aims to strengthen AI developers to acquire expertise in the state of the art technologies and it benefits software engineers and data analysts. The online program is structured for artificial intelligence engineers and machine learning engineers to develop their careers. This certification will equip the freshers with the knowledge required to pursue a master’s program in this domain.
Admission details
The students who wish to join the ‘PG Certification in AI and Machine Learning’ online course are required to register online.
Step 1: Find the course page using the link below, https://intellipaat.com/pg-certification-ai-ml-course-mnit/
Step 2: Click on the ‘Apply Now’ link
Step 3: Admission is given to the candidates based on the decision made by the admission panel.
Filling the form
The applicants of the ‘PG Certification in AI and Machine Learning’ online training should fill in the application form with their name, phone number, email address, and with stating the objective for taking the certification course.
The syllabus
Module 1 - Preparatory Classes on Python and Linux for AI & ML
Module 2 - Machine Learning Models for Selection and Tuning
- Regression Modeling: Logical and Linear
- Classification Modeling: K-nearest neighbour, Naïve Bayes Theorem, and Support Vector Machines (SVM)
- Random forest and decision tree models
- Use of PCA, k-means clustering, and isolated forests for anomaly detection
- Time-series prediction model and recommendation system
- Selection, evaluation, and interpretation of models
Module 3 - Deep Learning using TensorFlow
- Introduction to neural networking
- Backpropagation
- Stochastic gradient descent
- Deep neural networking and its principles
- CNNs, RNNs, LSTMs, and MLPs
- GANs and Generative deep learning
- Calculus and linear algebra
- TensorFlow, CuPy, Keras, and PyTorch
Module 4 - Natural Language Processing
Natural Language Processing (NLP) and text mining
- Introduction NLP & text mining
- Applications of text mining
- How NPL works with text mining
- Natural Language Toolkit (NLTK) environment
Data cleaning and preprocessing
- Various tokenizers and Tokenization
- Frequency distribution
- Stemming, POS tagging, and lemmatization
- Bigrams, Trigrams, and Ngrams
- Entity recognition
Classification of text
- Overview of Machine Learning
- Words, term frequency, and count vectorize
- Inverse document frequency, text conversion, and confusion matrix
- Naive Bayes Classifier
Sentence structuring, language modeling, sequence tagging, and sequence tasks
- Language modeling, sequence tagging, and sequence tasks
- Predicting sequence of tags
- Syntax trees
- Context-free grammar
- Chunking
- Automatic paraphrasing of texts
Vector space models and semantics
- Distributional semantics
- Traditional and topic models
- Tools for sentence and word embeddings
Dialog systems
- Introduction to task-oriented dialog systems
- Natural language understanding
- Dialog Manager
Module 5 - Image Processing and Computer Vision
- Basics of computer vision and OpenCV
- Use of neural networking for image processing
- Classification and clustering of an image using GANs, multitask classifiers, and k-means
- Detection of object
- Image segmentation
- Computer vision trends
Module 6 - Deployment of Machine Learning Systems to Production
- Development of large-scale AI apps using various tools and techniques
- Build and deploy APIs with FastAPI, Swagger, Paperspace, and Postman
- CI/CD pipeline for model production
- Use of TensorFlow Lite, TensorFlow.js, and Streamlit to package model
- Model production using PyTorch, Spark, and PySpark
Module 7 - Work with Large Datasets
- Data collection from RSSs, web scraping, and APIs
- Data cleaning and transformation for ML systems
- Automatic transformation tools
- SQL and NoSQL databases to deal with large sets of data
- Spark
- Pandas
- SQL and Spark SQL
- ScrappingHub
Module 8 - Capstone Project
Module 9 - Data Science with R
- Introduction to R
- R packages
- Sorting DataFrame
- Matrices and vectors
- Reading data from external files
- Generating plots
- Analysis of Variance (ANOVA)
- K-means clustering
- Association rule mining
- Regression in R
- Analyzing relationship with regression
- Advanced regression
- Logistic Regression
- Advanced Logistic Regression
- Receiver Operating Characteristic (ROC)
- Kolmogorov-Smirnov chart
- Database connectivity with R
- Integrating R with Hadoop
Module 10 - Git and GitHub
- Introduction to Git
- Architecture of Git
- Working with remote repositories
- Branching and merging
- Git methodology
- Git plugin with IDE (Eclipse)
How it helps
The PG Certification in AI and Machine Learning certification is provided to students to develop skills and expertise with tools for artificial intelligence and machine learning. The course helps the students with the study materials and exercises from IBM and Microsoft. The students are given IBM certification and SQL Microsoft certification. The students are guided by mentors and given lifetime assistance.
Instructors
Mr Vineet Sahula
Senior Professor
MNIT Jaipur
B.E /B.Tech, M.E /M.Tech., Ph.D
Mr Suresh Paritala
Solutions Architect
Microsoft Corporation
Mr David Callaghan
Big Data Solutions Architect
Freelancer
FAQs
The course is provided by Intellipaat in association with E&ICT Academy and Malaviya National Institute of Technology(MNIT), Jaipur.
The course consists of self-learning videos and live sessions that will take approximately twelve months to complete the course.
There are no prerequisites for this course.
The PG certification is issued by E&ICT Academy, MNIT, and Intellipaat.