Technical Mastery
Industry-aligned curriculum, daily coding tasks, real-time projects.
Build your Data Science career with SLA Institute through an AI-integrated curriculum, practical training and real-time projects. Develop industry-relevant skills in Data Science and AI, gain hands-on learning experience, and prepare for career opportunities in the IT industry.





AI-Integrated Data Science Curriculum
Learn Data Science with an AI-integrated curriculum designed to introduce modern approaches to data analysis, machine learning and AI-powered problem-solving. Build skills that align with evolving industry requirements.

Hands-On Training & Real-Time Projects
Go beyond theoretical learning with practical training and real-time projects. Apply Data Science concepts, work through practical problems and gain experience developing solutions using the skills you learn.
Lifelong Placement Assistance
Get continued placement assistance even after completing your course. Benefit from interview preparation, resume guidance, career support and relevant interview opportunities to help you pursue your Data Science career.

Industry-Recognized Certifications
Strengthen your professional profile with relevant certifications that help demonstrate your technical knowledge and skills. Add valuable credentials to your portfolio as you prepare for opportunities in the technology industry.
Python Fundamentals and Data Types
Strings, Lists, Tuples, Sets and Dictionaries
Conditional Statements and Loops
Functions and Lambda Expressions
Object-Oriented Programming (OOP)
Exception and File Handling
Introduction to NumPy and Pandas
Series and DataFrame Operations
Data Cleaning and Preprocessing
Data Manipulation and Merging
Statistical Analysis and GroupBy
CSV Data Handling and Array Operations
Data Science Fundamentals and EDA
Data Exploration and Pattern Identification
Introduction to Matplotlib
Data Visualization using Seaborn
Charts, Graphs and Heatmaps
Classification and Regression Fundamentals
SQL Fundamentals and MySQL
Database Creation and Constraints
Data Manipulation and Querying
SQL Functions, Filtering and Aggregation
Joins, Subqueries and Normalization
Advanced SQL: CTEs, Window Functions and Triggers
Introduction to Machine Learning Algorithms
Supervised and Unsupervised Learning
Data Preprocessing and Feature Engineering
Regression and Classification Algorithms
Clustering and Ensemble Learning
Model Training, Prediction and Evaluation
Neural Networks: ANN, CNN and RNN
Deep Learning Models and Optimization
Natural Language Processing (NLP)
Text Processing using NLTK and spaCy
Sentiment Analysis and Named Entity Recognition
Computer Vision and Image Processing using OpenCV
Generative AI Fundamentals and Applications
Large Language Models (LLMs)
Prompt Engineering and Fine-Tuning Concepts
Transformer Architecture and Attention Mechanisms
Foundation Models: GPT, BERT and T5
Tokenization and Positional Encoding
Retrieval-Augmented Generation (RAG)
Vector Embeddings and Vector Databases
OpenAI API and Hugging Face Integration
LangChain, AI Agents and LLM Workflows
AI Chatbot and Q&A Application Development
Streamlit Interface Development and Deployment
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Seven connected stages, one continuous path from enrollment to your career launch — here is exactly how it works, step by step.
Industry-aligned curriculum, daily coding tasks, real-time projects.
Aptitude, communication, ATS-friendly resume optimization.
Aptitude, communication tuning and technical interview mastery.
Real company-pattern mocks with expert panel feedback.
Multiple company drives with lifetime placement support.
Detailed performance analysis and one-on-one guidance.
Land your first job with lifetime alumni and career support.