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Post Graduate Programme in Machine Learning & AI (Executive)

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Post Graduate Programme in Machine Learning & AI (Executive)

The Post Graduate Programme in Machine Learning & AI (Executive) is a specialized course designed for working professionals seeking to advance their careers in the rapidly evolving field of artificial intelligence. This program offers a comprehensive curriculum covering key areas such as machine learning algorithms, deep learning, data analytics, and AI applications. Participants gain practical experience through hands-on projects and real-world case studies, equipping them with the skills needed to implement AI solutions in various industries

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Requirements

Technical Skills, Programming languages such as Python or R, Mathematics and Statistics, Data Analysis

Description

Post Graduate Programme in Machine Learning & AI (Executive)
Overview

Bring about a career change by joining our Post Graduate Program in Machine Learning & Artificial Intelligence

Duration	13 months
Total Fee	₹3,35,000
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Our Course
Credential	Certificate

Post Graduate Programme in Machine Learning & AI (Executive

Highlights

Discover More

✓ Complimentary Python Programming Bootcamp
✓ Designed for Working Professionals
✓ 60+ Case Studies and 15+ Industry Projects
✓ IIITB Alumni Status
✓ No Cost EMI Options Available
✓ Dedicated Student Support
✓ Exclusive Job Opportunities Portal
✓ 1 Free Deferral
✓ Live Coding Classes and Profile Building Workshops
✓ WES Equivalent to a PG Diploma

✓ Shareable Certificate
✓ Earn a Certificate upon completion
✓ Python for DS

Post Graduate Programme in Machine Learning & AI (Executive
Course Details

Skills you will learn

Excel, Pandas, Python, numpy, Deep Learning, Generative AI, Data Analysis, visualization, Machine Learning

More about this course

✓ Learn 20+ programming and Generative AI tools.
✓ Stay updated with the latest modules featuring Generative AI.
✓ Participate in live sessions covering ChatGPT, Dall-E, Whisper, and Pinecone.
✓ Engage with over 60 case studies and 15 industry projects.
✓ Benefit from personalized career mentorship and performance coaching.
✓ Enjoy hassle-free, no-cost EMI options.
✓ Learn how to launch and deploy Generative AI applications.
✓ Accredited with NAAC A+ in 2021 and ranked 74th by NIRF in 2023.
✓ The curriculum aligns with NSQF level 8 standards.

Post Graduate Programme in Machine Learning & AI (Executive
Curriculum

Course 1: Intro to Python

✓ Prep : Data Analysis in Excel & Analytical Problem Solving
✓ Intro to Python
✓ Python for DS

Course 2: Stats and EDA

✓ Data Viz. using Python/Intro to Git & Github [Optional]/Welcome
✓ EDA
✓ Basics of SQL
✓ Advanced SQL
✓ Lending club case study
✓ Inferential Stats
✓ Hypothesis Testing

Course 3: Machine Learning - I

✓ Linear Regression Module
✓ Linear Regression Assignment: Bike sharing company (demand regression)
✓ Linear Regression Module
✓ Logistic Regression
✓ Naive Bayes + SVM {optional}
✓ Model Selection

Course 4: Machine Learning - II

✓ Advanced Regression
✓ Tree Models
✓ Random Forests + Practical Considerations
✓ Boosting
✓ Unsupervised Clustering
✓ PCA
✓ Telecom Churn Case Study

Course 5: Deep Learning

✓ Introduction to Neural Networks - Part 1
✓ Introduction to Neural Networks - Part 2
✓ Convolutional Neural Networks
✓ Assignment: Convolutional Neural Networks
✓ Recurrent Neural Networks
✓ Gesture Recognition - Project

Course 6: Natural Language Processing

✓ NLP - Lexical Processing
✓ NLP - Syntactic Processing
✓ NLP Assignment - Syntactic Processing
✓ NLP - Semantic Processing
✓ Ticket classification Project

Course 7: MLOps Elective

✓ Pre-Requisite Module
✓ Introduction to MLops
✓ Designing Machine Learning Systems
✓ Experimenting with Data and Model using MLflow
✓ Automating and Orchestrating Pipelines with Airflow
✓ Building Continuous Learning Infrastructure
✓ MLOps Project
✓ Advanced NLP - Introduction to Attention Mechanism
✓ Advanced NLP - Introduction to Transformers
✓ Advanced CV - Object Detection & Semantic Segmentation
✓ MLOps + Deployment: DL (Theory)
✓ MLOps + Deployment: DL (Case Study)

Course 8: Generative AI Elective

✓ Working with ChatGPT APIs
✓ System Design and Building ShopAssist - Part I
✓ System Design and Building ShopAssist - Part II
✓ ShopAssist Project Submission + Deployment [Optional]
✓ Advanced NLP - Introduction to Attention Mechanism
✓ Advanced NLP - Introduction to Transformers
✓ Vector Databases and Retrieval-Augmented Generation
✓ Mr.HelpMate AI Project Submission
✓ Building LLM applications using LangChain
✓ Building LLM applications using Llamaindex
✓ Finetuning Large Language Models
✓ SemanticSpotter Project Submission
✓ Scale and Deploy Generative AI Apps
✓ Future Developments in Generative AI
✓ Fundamentals of Multimodal Models like Stable Diffusion, Mid Journey + Working with StableDiffusion in Python (Optional)
✓ Capstone

Post Graduate Programme in Machine Learning & AI (Executive
Entry Requirements

Eligibility Criteria

✓ Bachelor's Degree (4 years program) or a Masters Degree in the relevant discipline with at least 55% marks. Minimum of 2 years of work experience

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