PGP in Artificial Intelligence and Data Science

Immersive Learning Program

The IT industry is undergoing a seismic shift, and the demand for skilled data science and artificial intelligence (AI) professionals is skyrocketing. A post-graduate program in Artificial intelligence and data science positions you at the forefront of this transformation. Emerging India Analytics' program equips you with the expertise to unlock a thriving career in this dynamic field, empowering you to solve complex challenges and drive innovation through the power of data and intelligent systems.

OUR KNOWLEDGE PARTNERS

Introduction

Data Science and Artificial Intelligence

The IT industry is undergoing a seismic shift, and the demand for skilled data science and artificial intelligence (AI) professionals is skyrocketing. A post-graduate program in data science and artificial intelligence positions you at the forefront of this transformation. Emerging India Analytics' program equips you with the expertise to unlock a thriving career in this dynamic field, empowering you to solve complex challenges and drive innovation through the power of data and intelligent systems.

Tools

emerging india analytics training programs

real-world projects and certification course

career-oriented analytics and technology course

professional certification program for data and ai

tableau data visualization training course

Program Structure

80 hour Pre-Learning

Before you embark on the live academic session, get ready for the Program. You will get a series of online recorded tutorials to understand the structure of Data Science to know about the fundamentals which would enrich your future learning experience.

380 hours Program

Here, you will get execution-based learning experience on Advance Excel, SQL, R Programming, Python, Statistics, Machine Learning, Deep Learning, Artificial Intelligence, Tableau, Power BI, Big Data with Hadoop & Spark along with Advanced Gen AI.

380 hours Post Program

Data Science is truly an application-based learning where learners always need to revisit the previously delivered class lectures to complete their learning & submit required tests & assignments that are given periodically throughout the learning journey. All previously delivered lectures will be accessible to the learners for entire life time.

180 Hours of Project Engagement

In order to achieve the desired outcome of this robust program & develop industry-specific skill sets, more than 100 numbers of Domain-Specific projects will be assigned after completion of every module. This dedicated engagement on projects will not only help the learners to be able to take data-driven decisions but also will ensure successful career transition in the Data Science domain.

Curriculum

LEARN WITH A WORLD CLASS CURRICULUM

Module 1. Data Science with Advanced Excel, Python, Statistics, Machine Learning, Deep Learning and R-Programming

Topic 1: Orientation (Introduction to Data Science, Scope of Data Science)

Introduction to Data Science
Scope of Data Science
Data Science methodology
Industry applications

Topic 2: Advanced Excel

Advanced Excel functions
Data analysis using Excel
Pivot tables and dashboards
Excel for business analytics

Topic 3: Python

Python fundamentals
Data structures in Python
Numpy and Pandas
Data visualization with Matplotlib and Seaborn

Topic 4: Statistics

Descriptive statistics
Inferential statistics
Probability distributions
Hypothesis testing

Topic 5: Machine Learning

Introduction to Machine Learning
Supervised and unsupervised learning
Regression and classification
Model evaluation techniques

Topic 6: Deep Learning

Neural networks fundamentals
Deep learning architectures
TensorFlow and Keras
Applications of deep learning

Topic 7: Time Series

Time series components
Forecasting methods
ARIMA models
Time series in business applications

Topic 8: R-Programming

Introduction to R
Data manipulation in R
Statistical analysis using R
Visualization with ggplot2

Topic 9: Project Discussion

Case study applications
Project implementation techniques
Industry-specific projects

Module 2. Business Intelligence Using SQL, Tableau and Power BI

Topic 1: Introduction to Business Intelligence

BI fundamentals and architecture
Data warehousing concepts
ETL processes
BI implementation strategy

Topic 2: SQL

SQL fundamentals
Database queries and joins
Stored procedures
Performance optimization

Topic 3: Tableau

Tableau Desktop fundamentals
Creating visualizations
Interactive dashboards
Tableau Server and publishing

Topic 4: Power BI

Power BI Desktop
DAX fundamentals
Data modeling
Creating reports and dashboards

Topic 5: Project Discussion

BI implementation case studies
Dashboard design principles
Industry-specific applications

Module 3. BIG DATA

Topic 1: Orientation

Introduction to Big Data
Big Data ecosystem
The 5 Vs of Big Data

Topic 2: MongoDB

NoSQL database concepts
MongoDB architecture
CRUD operations
Data modeling in MongoDB

Topic 3: Java

Java fundamentals
Object-oriented programming
Java for Hadoop
Java APIs

Topic 4: BIGDATA

Hadoop ecosystem
HDFS and MapReduce
Spark fundamentals
Data processing with Hive

Topic 5: Project Discussion

Big Data project implementations
Real-world use cases
Industry applications

Module 4. Generative AI

Topic 1: Introduction to Generative AI

Generative AI concepts
Types of generative models
Applications of Generative AI

Topic 2: Introduction to open source Huggingface transformers platform

Huggingface ecosystem
Transformers library
Pre-trained models
Fine-tuning techniques

Topic 3: Language models and transformer models

Evolution of language models
Transformer architecture
Attention mechanisms
BERT, GPT, and other models

Topic 4: Introduction to Large Language Models (LLMs)

LLM architecture and capabilities
Few-shot and zero-shot learning
Prompt engineering
Applications of LLMs

Topic 5: AI Application Stack

AI infrastructure
Model serving and deployment
AI application components
Integration strategies

Topic 6: Langchain

Introduction to LangChain
Components and modules
Building applications with LangChain
Integration with LLMs

Topic 7: Hallucination, Data Privacy, Ethics, and Environmental Impact of AI & future of Work

AI ethics and responsible AI
Bias and fairness in AI
Privacy considerations
Environmental impact of AI systems
Future of work in the AI era

Topic 8: Project Discussion

Generative AI projects
LLM application case studies
Industry-specific implementations

Module 5. ARTIFICIAL INTELLIGENCE

Topic 1: Orientation (Natural Language Programming)

NLP fundamentals
Text preprocessing
NLP applications

Topic 2: Natural Language Programming

Advanced NLP techniques
Sentiment analysis
Named entity recognition
Topic modeling

Topic 3: Computer Vision

Image processing fundamentals
Object detection
Image classification
OpenCV for computer vision

Topic 4: YOLO

YOLO architecture
Object detection with YOLO
YOLO implementations
Real-time applications

Topic 5: Reinforcement Learning

RL fundamentals
Q-learning
Deep reinforcement learning
Applications of RL

Topic 6: Project Discussion

AI project implementations
Industry use cases
Project methodology

Module 6. DSA (Data Structures and Algorithms)

Topic 1: Orientation

Introduction to algorithms
Algorithm analysis
Big-O notation

Topics 2-11: Data Structure

Arrays and strings
Linked lists
Stacks and queues
Trees and binary trees
Graphs
Sorting algorithms
Searching algorithms
Dynamic programming

Topic 12: Project Discussion

DSA implementation projects
Problem-solving techniques
Coding interview preparation

Skills You Will Possess

Data Manipulation

Data Wrangling

Data Cleaning

Data Visualization

Big Data Architecture

Data Analysis

Descriptive Analytics

Machine Learning

Predictive Analytics

Text Processing

Image Processing

Sentiment Analysis

Program Benefits

Cutting Edge Curriculum

Hand crafted Course content made by Experts from various Industries. Learn through Practical case studies and multiple projects.

On the Go Learning

Online accessible E-learning Material, live interactive lectures, Industrial Graded Projects, Case Studies and Multiple Tests & Evaluations.

Build Solid Foundation

380 hours live Instructor-led lectures on most demanded tools of Data Science.

Industry Mentorship

Get 1 to 1 guidance from Industry experts and start your career in Data Science.

Recognized Certification

Earn a Government of India approved & globally recognized certificate by NASSCOM IT- ITes SSC by clearing NASSCOM assessment examination.

Industry Certificate

Opportunity to earn Highest Industry Certificate of AI Data Scientist (NSQF LEVEL 8) from SSC NASSCOM.

Course Certificates

Upon successful completion of the program and passing the final assessment, you will receive:

Course Completion Certificate from Emerging India Analytics
NASSCOM IT-ITeS Sector Skill Council Certification
Opportunity to earn AI Data Scientist (NSQF LEVEL 8) certification from SSC NASSCOM
Digital Badge for your LinkedIn profile

These certifications are recognized by employers globally and validate your expertise in Data Science and AI.

Real World Projects

Projects will be a part of your Advanced Post Graduate Certification in Data Science & Artificial Intelligence to solidify your learning. They ensure you have real-world experience in Data Science and AI.

Practice 20+ Essential Tools

Get Real-world Experience

Beginner

Real Estate Analytics

Real Estate Analytics will involve supervised learning with an ensemble of various regression algorithms where we will optimize the predictions based on the error rate.

Intermediate

Solar Power Efficiency

The project will encompass three target variables that we will predict using the supervised machine learning algorithms for regression problems and minimize the error by tuning the hyperparameters.

Advanced

Recommendation Engine

In the Recommendation Engine project, we will use singular value decomposition to draw out relevant recommendations for music and movie selections based on the historical data points.

Career Services By emergingindiagroup

Job Assistance

Get access to job opportunities that match your skills and career goals.

Interview Preparation

Mock interviews and feedback sessions with industry experts.

Profile Building

Resume workshops and LinkedIn profile optimization.

Placement Assistance

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT).

Exclusive access

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners' including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Real World Projects

Projects will be a part of your Advance Post Graduate Certification Data Science & Artificial Intelligence to solidify your learning. They ensure you have real-world experience in Data Science and AI.

Practice 20+ Essential Tools
Designed by Industry Experts
Get Real-world Experience

Our Alumni Works At

Learners thought about us

It was a great experience with Emerging India Analytics. The course format and content was very good. The faculty, Ms Lakshmi is very knowledgeable. She know the subject very well and the way she conducted the sessions was very much satisfactory. Thank you so much for your services and wish you all the best. God Bless.

Yogesh Ranjan Ghavnalkar

Learner

As a non-IT background student, I am very much satisfied with the live sessions/classes conducted by Emerging India Analytics. Special thanks to the instructor/trainer, the way he is teaching, from the basic fundamentals, that a student having zero knowledge in IT/CS & coding, can easily understand the subjects/topics.

Tushar Kanta Behera

Learner

Classes are progressing smoothly, doubts are consistently addressed, fostering a clear understanding. Positive atmosphere, engaged learning, and effective communication contribute to a successful academic experience.

Aadi Bhardwaj

Learner

Coming from non-IT background was initially worrisome but I took the bold step into this course. The tutors have been fantastic as well as the personal support team. Looking back at the journey so far, I will say it's worth the all-round commitment and I recommend this program without reservation.

Israel Samuel

Learner

Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Submit Application

Tell us a bit about yourself and why you want to join this program

Application Review

An admission panel will shortlist candidates based on their application

Admission

Selected candidates will be notified within 1week.

Program Fees

Our Loan Partners

Zero Cost EMI options Available

from RBI Approved NBFCs

Starting from ₹2,999*

Others Payment Options

We provide the following options for one-time payment.

Internet Banking

Credit / Debit Card

Total Admission Fees
₹1,99,999*(Excluding GST)

Apply Now

FAQs

1. What is the duration of the Post Graduate Program In Artificial Intelligence And Data Science?

The Post Graduate Program in Artificial Intelligence and Data Science is an intensive program that spans approximately 12 months. It includes 80 hours of pre-learning, 380 hours of core program content, 380 hours of post-program support, and 180 hours of project engagement. The program is designed to provide comprehensive training in all aspects of data science and AI.

2. What topics are covered in the course?

The curriculum is comprehensive and covers a wide range of topics including Advanced Excel, Python, R Programming, Statistics, Machine Learning, Deep Learning, Time Series Analysis, SQL, Business Intelligence tools (Tableau and Power BI), Big Data technologies (MongoDB, Hadoop, and Spark), Generative AI, Natural Language Processing, Computer Vision, YOLO, Reinforcement Learning, and Data Structures and Algorithms. The program also includes numerous practical projects and case studies.

3. Do I need any prior knowledge to enroll in this course?

No, you don't need prior knowledge in data science or programming to enroll in this course. The program is designed to start from the basics and gradually build up to advanced concepts. We have many successful learners from non-IT backgrounds. The pre-learning module will help you build a strong foundation before diving into more complex topics. However, basic computer literacy and logical thinking abilities are beneficial.

4. How are the classes conducted?

Classes are conducted in a live, interactive online format with expert instructors. You'll have access to recorded sessions for revision, interactive assignments, and hands-on projects. The platform provides opportunities for direct interaction with instructors, discussion forums with peers, and one-on-one mentoring sessions. We also provide lifetime access to all learning materials for future reference.

5. Are there any hands-on projects included in the course?

Yes, the program includes more than 100 domain-specific projects across various levels - beginner, intermediate, and advanced. These projects cover a wide range of industries and applications, from real estate analytics to recommendation systems. You'll have 180 dedicated hours for project engagement, where you'll apply theoretical knowledge to real-world data science and AI problems, building a strong portfolio to showcase to potential employers.

6. Will I receive a certificate upon completion?

Yes, upon successful completion of the program, you will receive a course completion certificate from Emerging India Analytics and a certification from NASSCOM IT-ITeS Sector Skill Council. Additionally, you'll have the opportunity to earn the highest industry certificate of AI Data Scientist (NSQF LEVEL 8) from SSC NASSCOM. These certifications are globally recognized and highly valued by employers.

Apply Now