1

Introduction to Agile, historical context, and Agile Manifesto. Agile principles and real-world applications. Scrum framework (roles and events).

2

Scrum framework (artifacts) and backlog creation. Kanban principles and creating a Kanban board. Lean thinking and waste elimination. Design thinking.

3

Writing effective user stories. Backlog refinement techniques and task prioritization. Agile estimation techniques (Planning Poker, T-shirt sizing).

4

Sprint planning with capacity management. Comparison of Kanban vs Scrum, best use cases of both frameworks. Applying Agile to real-world projects with live crisis scenarios. Final project review.

1

Introduction to different graph concepts, different types of graphs, graph representations, graph traversal, BFS, DFS, and trees. Understanding the importance of minimum spanning trees and bipartite trees and applications of the same in real life.

2

Algorithms to find the shortest path. Understanding graph coloring and planarity, applying the same to make schedules and resource allocation charts. Exploring Ford Fulkerson's Algorithm for flow networks.

3

Introduction to social media analysis. Understanding real world social graphs, different centrality measures, detecting communities within a graph and generating realistic social graphs. Visualization tools such as Gephi will be used for the same.

4

Introduction to graph databases, analyzing speed variation between different types of databases, and exploring Neo4J and APOC library. Introduction to topology and topological networks, understanding graph isomorphism and knot theory.

1

Establishing basic attributes of a character and how emotions play a part in building a character base. Additionally, a look at how to approach costume design and understand its link with the character and a viewer.

2

Taking a look at the basics of dialogue writing and key observations to be kept in mind while writing dialogues for a character. Understanding how a character interacts with their environment and concepts of set design.

3

Scrutinising the reflection of society in cinema and vice-versa. Exploring absurdity and abstractionism in crafting a character in film. A glance at what makes a character arc essential in film and how can we establish one.

4

Reviewing the student's model of their character, their scripts, finalisation of final performances, cold reads and performance of the character in the environment developed.

1

Introduction to Python functions and modularity. Basics of numpy arrays. Fundamental computer vision functions.

2

Students will learn how to draw on videos and handle events for the same. They will also learn how to merge 2 images seamlessly with thresholding.

3

Students will learn how to write applications to detect objects in a video and draw a bounding box around them. They will also be exposed to edge detection techniques.

4

Students will be exposed to YOLO's method of detecting objects. They will also write programs for face recognition and text recognition in videos.

1

Explore major Linux distributions and set up a Linux environment. Learn essential tasks like program installation and system configuration. Get acquainted with the Command Line Interface (CLI) and master fundamental commands.

2

Dive into data manipulation and text processing using powerful Linux commands. Explore popular text editors, with a focus on Neovim. Study Linux process management. Students will learn how to apply these skills to real-world scenarios using many examples.

3

Understand the Linux filesystem structure and user management. Explore Linux servers, cloud providers, and networking fundamentals. Project to host a personal open-source alternative to Google Drive.

4

Nix and NixOS philosophy. Learn to use the Nix package manager and grasp the Nix language basics. Configure NixOS and understand its benefits, including declarative system setup, rollback capabilities.

1

Introduction to LLMs, Generative AI, and Gemini API setup. Students will configure the Gemini API and interact with it using Python, focusing on prompt crafting and refinement.

2

Context caching and Streamlit integration. Students will build a chatbot incorporating context management, APIs, and advanced prompt engineering techniques like few shot learning, with an interactive Streamlit interface.

3

Introduction to embeddings, clustering, and Retrieval Augmented Generation (RAG). Students will generate embeddings, apply clustering, and explore RAG concepts.

4

Introduction to React Agents and GraphRAG, focusing on creating React pipelines and knowledge graphs for enhanced retrieval. Students will refine the chatbot’s UI/UX and conclude the week with project presentations, evaluated by SMEs.

1

Introduction to Security, Cryptography, and Blockchain Basics: Kick off with an introduction to security principles like confidentiality and integrity.

2

Blockchain Fundamentals and Types: Understand how blockchain functions with nodes and mining, exploring key concepts like the 51% attack. Learn the features of blockchain and delve into different types: public, private, hybrid, and consortium.

3

Smart Contracts, Merkle Trees, and Consensus Mechanisms: Explore Merkle trees and understand how Bitcoin halving works.

4

Blockchain Attacks, MetaMask, and Transaction Analysis: Learn about different types of attacks on blockchain systems, including smart contract and wallet vulnerabilities. Install MetaMask, mine tokens, and explore blockchain transactions.

1

The course begins with an introduction to Large Language Models (LLMs) and basic prompt engineering. Students will gain hands-on experience interacting with LLM APIs and experimenting with various prompts.

2

This week focuses on Retrieval-Augmented Generation (RAG) systems, covering both basic and advanced concepts. Students will build simple RAG pipelines using tools like LangChain and LlamaIndex.

3

Students learn about AI agents, agentic systems, and how to integrate RAG with AI agents. The week includes hands-on experience in designing AI agent workflows and using Docker for deployment.

4

The final week covers building applications around AI agents and refining AI agent system designs. Students will present their final projects, demonstrating AI agents solving practical use cases.

1

Introduction to course structure, strategic thinking, and key concepts in entrepreneurship and marketing. Students will explore startup evolution and compare startups to traditional businesses.

2

Focus on ideation, value proposition, and opportunity identification. Students will develop startup ideas and create fundraising and marketing plans, incorporating risk management and networking strategies.

3

Scalability, growth strategies, and team-building with a focus on marketing and branding. Students will address scaling challenges, build a branding strategy, and analyze market positioning and customer segments.

4

Case study analysis of successful startups with lessons on innovation and creativity. Students will apply legal foundations, intellectual property, and compliance principles, focusing on risk management and strategic thinking.

1

Gain a thorough understanding of what digital marketing entails and how advertising fits within this ecosystem. Explore how brands use tone, mood, and voice to convey their identity through campaigns.

2

Learn key digital marketing terms and develop a content strategy while delving into social media marketing techniques. This week equips you with the ability to craft a campaign outline and analyse existing strategies.

3

Discover the power of creatives in marketing, market research tools, and the importance of competitor analysis. You'll refine your skills in creating audience personas, visual storytelling, and generating creative ideas through competitive insights.

4

Understand how to integrate digital and traditional marketing for a cohesive brand message, and explore trends shaping the future of digital marketing.

1

Introduction to fundamental electronic components, basic circuit design, and PCB layout. Students will gain the ability to create simple PCB designs using software.

2

Overview of Analog and Power Electronics. Students will explore the design of DC-DC converters and amplifiers, as well as develop PCB layouts for these circuits.

3

Study the concepts of Boolean expressions and combinational circuits within digital electronics. Gain a solid understanding of their design and functionality.

4

Explore the impact of EMC, EMI, stray capacitance, and stray inductance. Additionally, PCB fabrication and the hardware design of a basic PCB will be covered.

1

Basics of drug discovery and computational tools. Introduction to protein and ligand databases (UniProt, PDB, PubChem) and molecular visualization using PyMOL.

2

Advanced visualization with BIOVIA Discovery Studio and molecular docking using PyRx. Analysis of protein-ligand interactions to identify potential drug candidates.

3

Complex docking simulations with AMDock, binding site analysis using CB-Dock, and 2D interaction diagrams with LigPlot. Predicting ADME properties and pharmacokinetics with SwissADME.

4

Homology modeling with SWISS-MODEL and structure validation. Students will execute a comprehensive computational drug design project by applying all the learned concepts.

1

Introduction to Robotics, Types of Robots, Components of a Robot, Open and Closed loop systems, Dual Booting systems, Installation of the required softwares, Introduction to Arduino IDE and ESP32.

2

Arduino IDE, Arduino Coding, ESP32 Hardware, Various Sensors, Introduction to Micro controllers and microprocessors and their communication protocols, Introduction to ROS2 Humble and Turtlesim, GitHub, Workspace and Package creation.

3

Creating launch files and launching them on Rviz and Gazebo, Teleop keys and sensors, Introduction to Micro ROS.

4

Hands On Hardware, Integrating software and hardware, Final Project.

1

The course begins with a comprehensive exploration of game genres, perspectives, and the 4 types of fun, providing a foundational understanding of key game design elements.

2

Focus shifts to refining and pitching game concepts, as the planning and production phases of game development are strategically implemented.

3

Key design principles are applied, including system, and level design, as ideas are translated into structured diagrams, and level frameworks.

4

The final week emphasizes narrative design and prototype refinement, featuring a Pseudo Industry Night where final presentations are delivered and detailed feedback is provided to conclude the development process.

1

Get familiar with machine learning concepts and the TensorFlow environment. Learn tensor manipulation, build simple models, and understand supervised/unsupervised learning fundamentals.

2

Explore neural network architecture, activation functions, and backpropagation. Understand model optimisation techniques like regularisation and avoid overfitting by improving model generalisation.

3

Focus on Convolutional Neural Networks for image classification and feature extraction. Learn transfer learning to fine-tune pre-trained models for new datasets and solve real-world image problems.

4

Learn time series forecasting with RNNs and LSTMs. Begin the final project, applying deep learning techniques to a chosen dataset, integrating skills learned throughout the course.

1

Introduction to Microcontrollers and Embedded Systems, types of Arduino boards available, capabilities of a Microcontroller, Arduino UNO architecture and features.

2

Arduino supports analog and digital I/O, PWM for power control, and uses polling or interrupts for input. It connects via RS232, UART, I2C, and SPI, enabling communication with modules like LCDs, keypads, sensors, RTCs, and SD card readers.

3

The GSM and RF-433MHz modules enable Arduino to make calls, send SMS, and interpret DTMF signals. The Bangalore Traffic Signal Controller integrates hardware and software with manual override and IoT features for enhanced traffic management.

4

The Fire Alarm Panel exemplifies embedded systems, featuring PESU EEE Department’s patented IoT-enabled Fire Alarm Control Panel with a PA system. It also reviews microcontrollers like STM32, 8051, and MSP430, focusing on future developments in the field.

1

Dive into the world of Computer Science by exploring fundamentals including but not limited to Linux, Networks and Web Applications.

2

Understand the cyber kill chain as defined by Lockheed Martin and get hands-on experience in performing reconnaissance on your target.

3

Learn to identify different kinds of vulnerabilities in networks and web applications and discover tools to exploit them.

4

Learn privilege escalation and apply all the techniques learnt so far to hack into your first machine.

1

Web, web architecture, HTML tags, CSS, CSS Box Models, Media Queries, Basic Javascript.

2

Deep Dive into JavaScript, understand Hosting, async-await, map function. Introduction to ReactJS.

3

ReactJS hooks, React router Dom

4

Context API, Redux (introduction to state management). Bonus (Next JS introduction)

1

Introduction to stock markets, differences between trading and investing, and an overview of key stock exchanges like BSE and NSE. Students will learn market fundamentals and explore stock market history.

2

Technical analysis with candlesticks and Dow Theory. Overview of financial instruments such as equities, ETFs, and bonds, along with market indices and their significance.

3

Introduction to risk management, trading psychology, stock screeners, and types of trades. Students will explore advanced trading strategies and tools.

4

Support and resistance levels, Fibonacci retracements, and final project discussions. The course will wrap up with summary guidance on applying learned strategies.

1

The course introduces students to UAV types, aerodynamics, and 3D modeling with Fusion 360. It also covers key UAV components and flight regulations, emphasizing safety and design principles.

2

The course covers flight simulations and introduces air traffic control (ATC) concepts, including UAV coordination and communication protocols.

3

The course dives into UAV hardware components and includes a fun paper plane challenge. Students analyze test flights, investigate crashes, and study real-world UAV incidents to improve designs.

4

Students complete their UAV assembly, run flight tests, and gather performance data. They prepare presentations analyzing their designs and improvements. The course wraps up with a simulation race and team presentations, followed by a feedback session.

1

Introduction to graphics programming, covering the graphics pipeline and setting up the WebGL environment. Students will learn to set up a workflow and develop basic programs using WebGL.

2

Basic WebGL and data transfer techniques. Students will learn how to manage GPU data using buffer objects (VBOs, VAOs) and apply these concepts to simple WebGL programs.

3

Introduction to 2D graphics, focusing on transformations such as translation, rotation, and scaling. Students will work on simple 2D games using these transformations.

4

3D graphics concepts and lighting techniques. Students will explore 3D transformations and implement basic lighting in WebGL to create a simple 3D scene.

1

Introduction to computer vision and image processing fundamentals. Learn how machines perceive images and practice basic image manipulation using OpenCV, including resizing, cropping, and rotating images.

2

Dataset creation and image classification. This week covers how to build well-labeled datasets and introduces classification models like SVM and KNN. Train your first models and evaluate their performance using metrics like accuracy and F1-score.

3

Object detection and pose estimation. Explore YOLO for detecting objects in real-time and MediaPipe for tracking key points on the human body. The focus will be on understanding object localization and motion tracking.

4

Multi-class classification. This week introduces solving problems with multiple categories using Convolutional Neural Networks (CNNs). The focus will be on structuring data for multi-class classification, addressing class imbalance, and training CNNs.

1

Introduction to Python basics and NLP. Students will explore data types, control structures, and text processing techniques like tokenization and lemmatization.

2

Dive deeper into NLP with text embeddings and model architectures like transformers. Learn about Named Entity Recognition (NER) and experiment with real-world datasets.

3

Explore advanced Large Language Models (LLMs) like BERT, GPT, and Llama. Students will work on text summarization, generation, and build a basic chatbot.

4

Enhance the chatbot with NLP capabilities and LLMs, and explore Generative AI applications. The week concludes with project presentations and feedback.

1

Explore the philosophy of Linux and open source. Learn basic command-line operations, Vim, and file permissions. Understand the boot processes.

2

Installing an Arch based Distro and dive into Arch Linux package management using pacman and the AUR. Learn the basics of shell scripting and customise your shell environment.

3

Continue shell scripting and introduction to cron jobs for task automation. Learn about desktop environments, window managers.

4

Customise and configure your system setup with either Desktop Environments or Window Managers. Explore WINE for gaming on Linux and recap key concepts in preparation for the final project.

1

Introduction to Power BI and Business Intelligence concepts, setting up Power BI, and navigating the interface. Key topics include Excel basics, advanced Excel features, and connecting Power BI to data sources.

2

Focusing on Power Query, students will learn how to import, clean, and transform data from various sources, preparing it for analysis and reporting.

3

An introduction to Data Modeling and DAX in Power BI. Students will explore data relationships and create basic measures and calculated columns for enhanced insights.

4

Advanced DAX functions, visualizations, and dashboard design. Students will finalize their Power BI projects with complex data analysis and reporting.

1

Introduction to Generative AI, LLMs and the need for Retrieval Augmented Generation (RAG). Students will write basic Python programs to learn how to work with LLMs.

2

Deep dive into RAG architecture, focusing on its components and how it integrates with LLMs for effective retrieval. Students will implement a basic naive RAG system using Python.

3

Advanced RAG optimization techniques and introduction to agentic systems. Students will implement a simple tool calling agent using industry standard tools (LangChain / LlamaIndex) and best practices.

4

Overview of emerging RAG architectures, including multi-agent systems and GraphRAG. Students will apply all concepts learnt till now to develop their own agentic RAG pipeline as the final project.

1

Onboarding and introduction to the course, Setup of the Flutter and Dart development environment. Students will familiarize themselves with the tools necessary for app development and learn basic Dart programming concepts.

2

Exploring Flutter fundamentals, including interactivity, making apps responsive and adaptive, and building multi-screen applications. Students will work with widgets, layouts, and navigation.

3

Diving into state management, adding flair with animations, and mastering the art of form building in Flutter. Students will apply these concepts to their an exciting project, refining functionality and design.

4

Connecting Flutter apps with backend services and integrating Firebase with flutter applications. Students will learn about user authentication, and data storage.

1

Basics of Machine learning, Perceptions, Python toolchains for ML, Matrix operations. Students will learn how to build simple neural networks with frameworks such as Pytorch/Tensorflow.

2

Introduction to optimization techniques: optimisers, regularisation. Students will learn how to leverage the power of CNNs,RNNs and LSTMs.

3

Fundamentals of Gen-AI: Transformers,GANs. Delves more in depth into Generative Adversarial Networks and their flavours.

4

An in-depth dive into Autoencoders and their types. A look at Explainable AI: LIME/SHAP. Students apply concepts learnt to tackle pressing issues in the real world.

1

This week, dive into the fundamentals of the Go programming language, covering data types, variables, control structures, and functions.

2

This week, master the art of building backend systems with Golang. You'll delve into building APIs using the Gin framework, interact with databases using ORMs, and implement secure user authentication with JWTs.

3

Learn to build scalable and performant backend systems this week! You'll master load testing with Locust, explore load balancing techniques using Nginx, and begin building the core features of your Leetcode clone.

4

This week, explore the difference between authentication and authorization, learning how to build protected routes within your Golang application.