AI & Data Science Program from Vishlesan i‑Hub Foundation IIT Patna

Build a strong base in Python for data analysis and AI work.

Go deeper into Python by applying advanced concepts for data transformation, analytics, and visualization workflows.

Learn how data is stored, organised, and queried using relational databases. This module focuses on writing effective SQL queries for analysis, reporting, and decision-making.

Learn core machine learning algorithms and model-building workflows across supervised, unsupervised, and time series use cases.

Solve real-world business problems using Applied Machine Learning. This module focuses on interpreting results, understanding business impact, and making data-driven decisions.

Understand and build neural networks for complex AI tasks. Learn how deep learning models work behind modern AI systems.

Work with text and image data using modern AI techniques. This module introduces how machines understand language and visuals, with practical examples from real applications.

Get introduced to Generative AI, LLMs, and prompt-based workflows. Learn how these models work, how they are used, and how to interact with them safely and effectively.

Deep dive into LLM architectures, fine-tuning, and Prompt Engineering techniques. This module focuses on deeper concepts such as model optimisation, reasoning, and prompt engineering workflows.

Build AI systems that combine LLMs with external knowledge sources. This module shows how AI can search, retrieve, and respond using real knowledge sources.

Build practical AI agents that use tools, reasoning steps, and workflows to automate data science and ML tasks.

Learn basic concepts of deploying ML models, using simple cloud resources, container workflows, and model tracking approaches.

Prepare resumes, portfolios, and interview skills for AI and Data Science careers.

Work on a complete AI project from start to finish. You will design, build, and present a real solution that demonstrates your learning and practical skills.

Establish a rigorous programming foundation in Python, equipping learners to manipulate, analyse, and visualise data with the fluency required across the AI and data science workflow.

Develop the ability to query, analyse, and derive business intelligence from relational data at scale, mastering the analytical SQL techniques expected in modern data-driven organisations.

Gain command of the complete machine learning lifecycle — designing, training, and refining predictive models, then taking them from experimentation through to real-world deployment.

Design and train deep neural architectures that power modern vision and language intelligence, progressing from foundational networks to state-of-the-art transformer systems.

Harness the power of generative AI and large language models to design intelligent, enterprise-ready applications — from prompt strategy to fine-tuned, responsibly deployed solutions.

Build retrieval-grounded and autonomous AI systems that reason, invoke tools, and act independently — the architecture behind the next generation of intelligent applications.

Work on a complete AI project from start to finish. You will design, build, and present a real solution that demonstrates your learning and practical skills.

Turn your new AI and data science skills into real career momentum, with a standout professional profile and the confidence to make your next move.