PG Diploma in Data Science & AI
Advance your career to the highest level of business leadership. Transform your expertise into strategic impact with our globally recognized program.
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Data Science & AI
Program Highlights
Discover the advantages of Data Science & AI
Career in Data Science & AI
In-Depth Learning
Skill Enhancement
Professional Growth
GTR Certification
Future-Ready Skills
10+
Other Benefits
Step into the world of high-paying careers 🚀
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Students Trained
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Facilitated Placements
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Hours of Training
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Years Operations
Know Your Mentor
Certified SAP MM S/4 HANA
Great Command over RICEFW Objects
Solves complex cross module scenarios
7+ Years Of Experience
Trained 6000+ Students
Simplifies Complex Concepts
Course Curriculum
- Basic Excel
- Excel Interface
- Workbook vs Worksheet
- Information about Row, Column, Cell
- Excel Datatypes
- Basic Functions (SUM, AVERAGE, MIN, MAX, COUNT)
- Conditional Formatting
- Text to Column
- Remove Duplicate
- Addition Method (Sequence)
- Sorting & Filtering
- IF Function
- Logical Operators
- Concatenate Function
- Cell Reference (Absolute & Relative)
- Date Function
- Custom View
- Freeze Pane
- Advance Excel
- Data Validation
- Lookup (VLOOKUP, HLOOKUP, XLOOKUP)
- Pivot Table (Pivot Graphs)
- Graphs
- Dashboard
- Slicer
- Advance Filter
- Macros
- Formatting Options
- Excel With AI
- ChatGPT
- Google Gemini
- Copilot
- Introduction to Python
- What is Python
- Features
- Applications
- Installation
- First Program
- Python Basics
- Variables
- Data Types
- Type Casting
- Input/Output
- Syntax Rules
- Operators
- Arithmetic
- Comparison
- Logical
- Assignment
- Bitwise
- Membership
- Identity Operators
- Control Flow
- if, if-else
- if-elif-else
- for loop
- while loop
- break
- continue
- pass
- Data Structures
- List, Tuple
- Set
- Dictionary and Methods
- Strings
- String Operations
- Indexing
- Slicing
- Methods
- Formatting
- Functions & Modules
- User Defined Functions
- Arguments
- Lambda Functions
- Modules
- Packages
- File Handling
- Read
- Write
- Append Files
- CSV Files
- Exception Handling
- try
- except
- else
- finally
- Custom Exceptions
- Object Oriented Programming
- Class
- Object
- Constructor
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
- Advanced Python
- List & Dictionary Comprehension
- Generators
- Decorators
- Regex
- Python with Database
- Python with MySQL
- CRUD Operations
- Python Libraries
- NumPy
- Pandas
- Matplotlib (Introduction)
- Python with AI Tools
- Code Generation
- Debugging
- Optimization using AI
- Project & Use Cases
- Mini Projects
- Real-World Use Cases
- Interview Practice
- Database
- Difference Between SQL and MySQL
- SQL Introduction
- SQL Datatypes
- SQL Commands
- SQL Where Clause & Comparison Operators
- Primary Key
- SQL Constraints
- SQL Date Function
- SQL Time Function
- SQL Aggregation Function
- SQL Order By Function
- SQL Logical Operators
- Mathematical Functions
- SQL Limit and Offset
- SQL Aggregation Keyword
- SQL Union and Union All
- SQL Subquery
- SQL View
- SQL Window Function
- SQL String Function
- Other Window Functions
- SQL Joins (Left, Right, Cross, Inner, Self)
- SQL with AI
- Generate SQL Queries using ChatGPT
- Query Optimization using AI
- Structured Query Building Assistance
- Introduction to Python
- What is Python
- Features and Applications
- Installation of Python
- Writing and Running First Program
- Keywords and Identifiers
- Comments and Indentation
- Data Types & Input
- Integer
- Float
- String
- Boolean
- Type Casting
- Taking User Input
- Operators
- Arithmetic Operators
- Comparison Operators
- Logical Operators
- Assignment Operators
- Membership Operators
- Identity Operators
- Control Statements
- If Statement
- If Else Statement
- If Else If Statement
- Nested Conditions
- For Loop
- While Loop
- Break, Continue, Pass
- Strings
- String Indexing and Slicing
- String Methods
- String Formatting
- Lists
- Creating Lists
- List Methods
- List Operations
- Nested Lists
Measures of Central Tendency, Measures of Dispersion
Probability Theory
Continuous Probability Distributions
Hypothesis Testing
Inferential Statistics & Sampling Techniques
- Business Intelligence (BI) & Power BI
- What is Business Intelligence (BI)?
- Importance of BI in Decision Making
- Introduction to Power BI
- Power BI Components
- Power BI Workflow
- Installing Power BI Desktop
- Power BI Desktop Interface Overview
- Views in Power BI
- Understanding Ribbons and Panes
- Saving and Managing Power BI Files
- Data Sources and Data Import
- Power Query Editor
- Data Modelling
- DAX Functions
- Data Visualization (Charts, Graphs, Maps)
- Filter, Slicer, Card
- Dashboard and Report
- Publish and Sharing Report
- Project
- Power BI with AI Tools
- Creating Power BI DAX Queries using ChatGPT
- Writing Effective Prompts for Data Analysis
Supervised Learning
Unsupervised Learning
Model Evaluation
Feature Engineering & Feature Selection
Neural Networks: Basics, Activation Functions
Optimizers, Loss Functions
CNNs for Image Processing
RNNs & LSTMs for Text Data
Gated Recurrent Units (GRUs)
Text Preprocessing
Text Representation Techniques (Converting Text into Machine-Readable Format)
POS, Feature Engineering
Sentiment Analysis & Text Classification
- Introduction to Artificial Intelligence
- What is Artificial Intelligence?
- Types of AI (Narrow AI, General AI, Super AI)
- AI vs Machine Learning vs Deep Learning
- Real-world examples of AI
- Introduction to Generative AI (GenAI)
- What is Generative AI?
- How GenAI is different from Traditional AI
- Applications of GenAI
- Popular GenAI Tools
- ChatGPT
- Google Gemini
- DALL·E
- Basics of Large Language Models (LLMs)
- What are LLMs?
- How LLMs work (basic idea)
- Tokens and Parameters (simple explanation)
- Transformer concept (basic overview)
- Prompt Engineering (Very Important)
- What is Prompt Engineering?
- Types of Prompts: Zero-shot, One-shot, Few-shot
- Writing effective prompts
- Prompt structure and format
- Practical exercises
- Applications of Generative AI
- Content Writing
- Email Writing
- Code Generation
- Image Generation
- Resume Builder
- AI Chatbot Basics
- Introduction to Agentic AI
- What is Agentic AI?
- Difference between GenAI and Agentic AI
- What is an AI Agent?
- Simple real-world examples of AI agents
Final Project Completion
HR Session with Industry Experts
ATS friendly resume preparation
LinkedIn Profile Optimization
Interview Secret Tips
Who is this course for?
Anyone who wants to learn SAP MM module
Other ERP professionals who want to learn SAP MM and become functional experts.
IT professionals, software engineers, project managers, and business analysts who want to upgrade their skills to the SAP ecosystem.
SAP Supply Chain professionals, software engineers, project managers, and business analysts.
Students from arts, commerce and UPSC background can enroll in the SAP Course with ease in Corporate IT Job.
Aspiring data professionals looking to master the industry's leading transportation management tool.
Students desiring a comprehensive, engaging, and highly interactive approach to SAP MM training.
Training Delivery
Discovery call
A call to evaluate training requirements and adjust course and delivery accordingly.
Tech call with Certified Instructor
A call with the instructor to address specific queries and requirements.
Customized Curriculum
Tailored curriculum to meet specific learning objectives and needs.
Training & LMS Access
Start training sessions with access to the Learning Management System.
Live Training
Interactive live sessions to enhance learning experience.
Hands-on Labs
Role-based training with practical exercises and labs.
Course Materials
Access course materials anytime through LMS.
Progress Metrics
Track student progress with analytics and reports.
Gamified Quiz
Engaging final quiz to reinforce learning.
🎓 Certificate of Completion
Get a verifiable certificate after successfully completing the training.
Student Video Testimonials
Watch real success stories shared by our students.
Choose Your Plan
Start your journey with flexible pricing options
Data Science & AI
Live Online
₹44,250
₹29,500
+ ₹30,000 after placement
✔ Live interactive classes
✔ Doubt solving sessions
✔ Placement support
Data Science & AI
Recorded (12 Months Access)
₹22,499
₹14,999
✔ Recorded lectures
✔ Mock tests & question bank
✔ Doubt support
Frequently Asked Questions
To be eligible for the PG Diploma in Data Science & AI program, offered in collaboration with Birchwood University, applicants must have completed or be in the final year of a Bachelor’s degree in any discipline from a recognized institution. Candidates are required to submit an updated resume, a valid government-issued photo ID, and all relevant academic documents (with certified English translations if applicable).
The PG Diploma in Data Science & AI program, offered in collaboration with Birchwood University, is delivered fully online, so you do not need to visit the university campus at any stage. All classes, assignments, projects, and assessments are completed remotely.
The PG Diploma in Data Science & AI, offered in collaboration with Birchwood University, is designed to be completed in 6 months. The flexible online structure allows learners to balance their studies with personal and professional commitments.
Graduates of the PG Diploma in Data Science & AI can pursue a wide range of career opportunities across data-driven and technology-focused industries. Common roles include Data Scientist, Data Analyst, AI Specialist, Machine Learning Engineer (Associate), Business Intelligence Analyst, and Analytics Consultant.
Yes. The PG Diploma in Data Science & AI program, offered in collaboration with Birchwood University, is designed to provide learners with practical, industry-relevant skills that are highly valued in today’s data-driven job market. The program focuses on hands-on experience with real-world tools, data analysis techniques, and AI applications, preparing graduates for roles such as Data Scientist, Data Analyst, and AI Specialist.
Approved Training Partner
Approved Training partner under the scheme for market-led fee-based services by NASSCOM
