Veda IT

Who Should Join Masters Program in AI & Data Science Course?

Job Switchers
Working Professionals
Engineering Graduates
University Students
Entry-Level Candidates

Keyskills of Masters Program in AI & Data Science Developer

A Master's in AI & Data Science equips students with expertise in machine learning, deep learning, data analysis, and big data technologies. Key skills include proficiency in programming languages like Python and R, working with AI frameworks such as TensorFlow and PyTorch, and data visualization tools like Tableau. The program emphasizes predictive modeling, NLP, and ethical AI practices, preparing graduates to tackle complex data-driven challenges across industries.

Key Features

Covers machine learning, deep learning, and big data, providing a full understanding of AI and data science.
Real-world projects and assignments to develop practical skills.
Learn from experienced AI and data science professionals.
Gain skills aligned with current AI and data science trends and employer needs.
Offline classes with optional online sessions.
Participate in live sessions, collaborative projects, and peer reviews.
Job placement assistance, resume building, and interview preparation.
Earn a recognized certificate from Veda IT upon successful course completion.

What you'll learn

The Masters in AI & Data Science program at Veda IT is designed to provide an all-encompassing understanding of artificial intelligence and data science, preparing students to address complex challenges in these rapidly evolving fields. With a curriculum that covers both foundational and advanced concepts in machine learning, deep learning, natural language processing (NLP), and big data technologies, this program empowers students to extract insights from data, develop predictive models, and deploy intelligent solutions. This course emphasizes the practical application of AI and data science principles through real-world projects, equipping students to make data-driven decisions and drive innovation across industries.

Through a hands-on approach, students will work on projects that involve analyzing large datasets, building machine learning models, and leveraging AI algorithms to create applications that solve real-world problems. Modules cover essential tools and programming languages such as Python, TensorFlow, Apache Spark, and Tableau, ensuring that students gain both technical and analytical skills. The program also addresses important topics in data ethics and responsible AI, fostering an understanding of the implications and considerations for deploying AI solutions in a responsible manner.

By the end of the course, students will be equipped with the skills to pursue a wide range of roles, including data scientist, AI engineer, and machine learning engineer. With access to Veda IT’s dedicated career services, graduates will have the support needed to build professional portfolios, receive interview preparation, and seamlessly transition into in-demand roles in the fields of AI, machine learning, and data science.

Modules Covered

Overview of Data Science and AI
Python Basics for Data Analysis
Data Structures and Functions in Python
Libraries for Data Science (NumPy, Pandas, Matplotlib)
Introduction to Jupyter Notebooks
Data Wrangling and Preprocessing
Exploratory Data Analysis (EDA) Techniques

Descriptive and Inferential Statistics
Probability and Distributions
Hypothesis Testing and Statistical Inference
Data Visualization with Matplotlib and Seaborn
Dashboard Design in Tableau
Advanced Visualizations in Power BI
Storytelling with Data

Introduction to Machine Learning Concepts
Supervised vs. Unsupervised Learning
Regression and Classification Algorithms
Clustering Techniques (K-Means, Hierarchical Clustering)
Model Evaluation and Performance Metrics
Cross-Validation and Hyperparameter Tuning
Practical Applications and Case Studies

Fundamentals of Neural Networks
Activation Functions and Optimization
Building Deep Learning Models with TensorFlow/Keras
Convolutional Neural Networks (CNNs) for Image Recognition
Recurrent Neural Networks (RNNs) for Sequence Data
Transfer Learning and Pretrained Models
Practical Applications of Deep Learning

Introduction to Text Processing and NLP
Tokenization, Lemmatization, and Stopwords
Sentiment Analysis and Text Classification
Word Embeddings (Word2Vec, GloVe)
Building Chatbots with NLP
Advanced NLP with Transformer Models (BERT, GPT)
Case Studies in Language Processing

Introduction to Big Data and Its Applications
Working with Hadoop and HDFS
Data Processing with Apache Spark
Spark SQL and DataFrames
Distributed Computing and Data Pipeline Design
Integration with Machine Learning Pipelines
Big Data Case Studies

Preparing Models for Deployment
Creating APIs for Machine Learning Models
Cloud Deployment on AWS, GCP, and Azure
Building Scalable AI Applications
Monitoring and Maintaining Deployed Models
CI/CD for Machine Learning Models
Cost Management and Optimization

Problem Definition and Data Collection
Data Cleaning, Exploration, and Analysis
Model Selection and Training
Deep Learning or NLP Model Implementation
Model Evaluation and Tuning
Deployment on Cloud and Monitoring
Presentation and Peer Feedback

Learning Path

Introduction to Data Science and Python Programming

Learn Python programming essentials and foundational concepts of data science.

Statistical Analysis and Data Visualization

Explore statistical techniques and visualize insights using tools like Matplotlib and Seaborn.

Machine Learning Fundamentals

Understand key machine learning algorithms, from supervised to unsupervised learning.

Deep Learning and Neural Networks

Dive into neural networks, leveraging frameworks like TensorFlow and PyTorch.

Natural Language Processing (NLP)

Analyze and process human language data using NLP techniques and libraries.

Big Data Tools and Distributed Computing

Work with large datasets using tools like Hadoop, Spark, and distributed computing systems.

AI Model Deployment and Cloud Computing

Deploy AI models on cloud platforms for real-world application and scalability.

Capstone Project: Real-World AI and Data Science Application

Develop a complete AI or data science project to solve a practical problem.

Resume Building and Portfolio Development

Build a professional resume and portfolio showcasing your projects and skills.

Interview Preparation and Career Services

Prepare for data science and AI roles with mock interviews, career coaching, and job assistance.

Compositing, Digital Art, and Special Effects

Explore compositing, create digital art, and apply special effects to enhance your designs.

Potential Roles

Data Scientist
AI Engineer
Machine Learning Engineer
Data Analyst
NLP Engineer
Business Intelligence Analyst
Research Scientist
Big Data Engineer
Data Science Consultant
AI Product Manager
Quantitative Analyst
Analytics Manager
Computer Vision Engineer
Data Engineer
Predictive Modeler

Start Date20/05/2025
Enrolled100
Lectures50
Skill LevelBasic
LanguageEnglish,Telugu
Quizzes10
CertificateYes
Pass Percentage100%

Masters Program in AI & Data Science

Masters in AI & Data Science

The Masters in AI & Data Science program at Veda IT is designed to provide an all-encompassing understanding of artificial intelligence and data science, preparing students to address complex challenges in these rapidly evolving fields.

Enroll Now

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Masters Program in AI & Data Science

Who Should Join Masters Program in AI & Data Science Course?

Job Switchers

Working Professionals

Engineering Graduates

University Students

Entry-Level Candidates

Keyskills of Masters Program in AI & Data Science Developer

Key Features

What you'll learn

Modules Covered

Module 1: Introduction to Data Science and Python 3 hours

Module 2: Statistical Analysis and Data Visualization 3 hours

Module 3: Machine Learning Fundamentals 3 hours

Module 4: Deep Learning and Neural Networks 3 hours

Module 5: Natural Language Processing (NLP) 3 hours

Module 6: Big Data Tools and Technologies 3 hours

Module 7: AI Model Deployment and Cloud Computing 3 hours

Module 8: Capstone Project 3 hours

Learning Path

Potential Roles

Masters Program in AI & Data Science