1

Research methodology basics to help kickstart your final projects and an Introduction to information and data. Hands on session on learning about data preprocessing and dataset generation.

2

Learn the basics of databasing and how to access databases through external programs. Discover the fundamental of data analysis, followed by an opening exploration of statistical analysis

3

Deep dive into statistical analysis and introducing Intelligent analysis including machine learning

4

Intelligent analysis continued with concepts of fit, and multivariate and polynomial use cases. Exploring the vastness of big data and how it is handled in real world applications.

1

Uncover the diverse applications of Generative AI across industries, explore future trends, and get hands-on with leading frameworks like LlamaIndex and LangChain. Dive into prompt engineering for tailored AI responses.

2

Delve into Retrieval-Augmented Generative (RAG) models, understanding their components, applications, and operational principles for dynamic AI interactions.

3

Explore the intricate elements of RAG models, including retrieval, generation, ranking, and advanced vector indexing techniques, while designing robust architectures for real-world applications.

4

Craft feature-rich libraries, optimize data flow, and harness webhooks for seamless deployment. Prepare for production deployment, exploring diverse hosting options and fine-tuning for scalability and performance.

1

Explore the challenges encountered by aerodynamic engineers, gaining insights into their solutions and applications in real-world projects.

2

Delve into two additional challenges faced by aerodynamic engineers, providing a detailed discussion on their implications and potential solutions.

3

Dive into the intricacies of 3D modeling, focusing specifically on structures. Gain hands-on experience and insights into creating detailed and realistic structural models.

4

Learn the basics of fluid flow analysis with ANSYS, a powerful industrial simulation tool, and understand the principles behind its operation.

1

Discover the meaning, nature, characteristics, significance and the need for protection of Intellectual Property (IP). Learn about the various types of IP and Trademarks in specific.

2

Explore the concept of Trademark Parody, Trade Secrets, and other intricacies of Trademarks. The learning shall extend to an in-depth understanding of Copyright law and its related aspects.

3

Learn the critical concepts of Patents law with an emphasis on Patent Application Procedure and Registration of Patents. following which other IPs and its aspects in relation to competition law shall be discussed.

4

Navigate the dynamic landscape of IP in Media and Entertainment along with understanding the intersection of AI and IP Law. The course will conclude with a global perspective, delving into International Treaties and Conventions.

1

Learn what makes a up a modern operating system, how Linux differs form other OSes, the intricacies of the Linux operating system.

2

Master the Linux Shell using commands, from text processing to administering system tasks, from simple arithmetic to downloading files, there is a command for everything.

3

Deep dive into the world of scripting, opening endless possiblities for automation, writing portable scripts, managing system resources, and performing other routine tasks in Linux systems.

4

Gain insights into the use of Linux in Industries, debug scripts, and build an application on the command line.

1

Establish a strong foundation in competitive programming. Key topics include basic programming, fundamental data structures, and an introduction to online coding platforms. Live coding sessions offer practical application of concepts.

2

Delve into advanced techniques such as greedy approaches, two and three-pointers, and advanced binary search. Data structures like stack, queue, priority_queue, and multiset are covered. Post-contest discussions to enhance critical thinking.

3

Explore dynamic programming (DP), tree structures, traversal techniques, recursion, and backtracking. Post-contest discussions on contests held on platforms like Codeforces to refine problem-solving skills.

4

Navigate to advanced topics including graphs, Disjoint Set Union (DSU), and advanced dynamic programming. Real-world applications of graphs and a contest on Hackerrank will be held.

1

Explore what Capture The Flag (CTF’s) are, its role in cybersecurity and how CTF's works.A basic understanding of cryptology, cryptanalysis, and various classical ciphering techniques.

2

Delve into advanced cryptographic methods, covering symmetric key cryptography techniques, understanding the Feistel structure, exploring DES and AES standards, and exploring the intricacies of Public Key cryptography.

3

Explore Kali Linux, its basic commands and shell usage. Learn use of various tools and steganographic techniques to access hidden messages embedded in digital media.

4

Learn to debug code and explore reverse engineering techniques. Gain hands-on experience with CTFs, obfuscation of code and develop OSINT skills to solve CTF challenges.

1

Explore why machine learning matters,unravel neural networks and deep learning models. Learn how tensors form the building blocks of your projects.This will equip you with the foundational knowledge to navigate the world of TensorFlow and machine learning.

2

Explore regression techniques in TensorFlow. Introducing data shapes, loss functions, optimizers, and metrics for model evaluation. Further, explore image processing, pixels, Convolutional Neural Networks, and their unique image analysis architecture.

3

Learn about transfer learning using pre-trained models. Explore where to find it, handle its complexities, and fine-tune it for specific needs. Further plunge into data augmentation, scaling up models with GANs, its contribution to AI & data generation.

4

Learn NLP & time series analysis.Explore text representation: tokens, embeddings, n-grams & NLP applications.Study about feature generation, multi-input models, handling time series data using techniques & caveats like the Turkey Problem while predicting.

1

Introduction to Fly-by-wire and Instrument Flight Systems. Topics such as Basic Flight Principles, Pitot-Static, Gyroscopic and Compass Systems and how these aid in manoeuvring an aircraft. Wrapping up with what is “Embedded Avionics”.

2

Learn about navigation systems and communication systems. Discuss about GPS and Radar technology. Also cover RF Communication, Satellite Communication and see how an aircraft talks to the ATC and what systems govern it.

3

Explore the electrical system of aircraft, including how power is distributed and how Aircraft Power Units function. Additionally, delve into the workings of autopilot systems and the control strategies they employ.

4

Model these systems using Embedded Hardware. Interfacing sensors with microcontrollers, basics of Embedded Hardware Architecture and simulation and the physical implementation of these systems would be key takeaways from this week.

1

In the first week, we will start with the installation of Studio One Prime, a DAW we will be using for this course. We will also be introduced to the foundations of music theory including scales, chords and rhythm.

2

In the second week, we will dive deeper into theory and its concepts on how to make your music more interesting and unique by introducing you to arpeggios, triads and 7th chords.

3

In the third week, we will understand the 'feel' of different rhythms as well as get an introduction to production, and futhermore equalisation.

4

In the fourth and last week, we will take a look at automation, synths, effects and we will then shift our focus to working on our project.

1

Learn what Flutter is and its incredible potential in building cross-platform apps. Explore what Dart is and its role in Flutter app development. Discover the fundamentals of Flutter, its classes and widgets, and how they contribute to building apps.

2

Discover advanced techniques for enhancing interactivity and themes in your Flutter applications. Explore strategies for ensuring responsiveness and adaptability across various devices. Master the creation of multi-screen applications.

3

Immerse yourself in the intricacies of managing state, infusing life into your app with captivating animations, and mastering form functionality. Explore state management techniques, unleash the potential of animations, and craft seamless user interfaces.

4

Learn how to seamlessly incorporate backend features into your Flutter app, and harness the power of Firebase for real-time database management, user authentication, and cloud storage. Unlock the potential to create robust and scalable applications.

1

Establish a Git workflow for project collaboration and version control, and learn the basics of Dart programming. Develop your first Android application using Flutter, integrating widgets and user interfaces, and create a project blueprint for your idea.

2

Transition from monolithic coding to modular practices, and master screen creation and navigation in Flutter. Explore and integrate Flutter packages to enhance your application's functionality, and effectively manage user data within your project.

3

Manage application assets, files, and data storage efficiently using SharedPreferences and Hive database in Flutter. Implement CRUD operations, explore application feature discovery, and leverage asynchronous functions for responsive app behavior.

4

Gain insights into industry toolchains, marketing strategies & consumer appeal, commercialization strategies & monetization options for your product. Learn the importance of UI/UX in a consumer-centric approach,enhancing user engagement & satisfaction.

1

Week 1 introduces LangChain and Large Language Models (LLMs), covering their definition, collaboration, benefits, and diverse applications. Participants dive into practical aspects by learning to install LangChain, create applications, and work with chains

2

Week 2 focuses on practical aspects of language model optimization. Participants learn fine-tuning techniques using LangChain and explore model distillation. Ethical considerations in language model scaling are discussed, covering LLMS principles, architec

3

In Week 3, participants delve into implementing distillation processes on pre-trained language models, analyzing their impact on performance, and examining successful distillation applications through case studies. The curriculum progresses to exploring cu

4

In Week 4, participants engage in hands-on experience by working on a comprehensive project integrating LangChain and LLMS. They implement distillation and advanced LLMS techniques while troubleshooting common project development issues. The week culminate

1

Establish foundations with data preprocessing, exploratory data analysis, and correlation analysis. Introduction to feature engineering, assign tasks on Python libraries, delve into regression models with regularization.

2

Classification algorithms, from KNN to SVMs, with Python coding snippets. Cover ensemble methods, introducing bagging, random forests, boosting, and stacking. Delve into deep neural networks and hyperparameter tuning.

3

LSTM and RNN for time series analysis, addressing vanishing gradient. Focus on LSTM for forecasting, stacking layers & bidirectional LSTMs. Explore SES, DES & TES, emphasizing stationarity & using Dickey-Fuller test.

4

Learn AR, MA, and ARIMA models for time series forecasting, with hands-on exercises in R. Extend to ARIMAX and SARIMAX models, incorporating external factors for improved accuracy.

1

Learn structural and parametric modelling using hardware descriptive language called system verilog and to synthesis and simulate it using Quartus prime.

2

Discover the base instructions set architecture of RISC-V and learn to simulate a C code on RISC-V core using Ripes tool.

3

Gain insight into the seven great ideas of computer architecture and learn about the micro architecture of RISC-V.

4

Know about Hazard detection and forwarding unit, and some of the assembler optimisations in a computer architecture.

1

Explore company law extensively, navigate Intellectual Property Rights (IPR), labor laws, and grasp insurance laws for management of startups.

2

Master contract drafting and negotiation, delve into funding and investment laws, and navigate the complexities of finance in startups.

3

Gain insights into the regulatory landscape, compliance strategies, and legal considerations for sustainable growth in startups.

4

Delve into exit strategies and dispute resolution, including commercial arbitration and gain crucial legal insights for sustainable scaling in the startup realm.

1

Learn how to use Adobe Photoshop, which includes the interface and a few basic tools for photo manipulation.

2

Introduction to fundamental graphic design principles, which are colour theory, typography, composition, layouting and balance.

3

Continuation of Photoshop with intermediate and advanced tools for added effects, image manipulation and much more.

4

Further discuss on how the principles of graphic design are applied in creating posters and developing brand identities.

1

Gain a solid understanding of remote sensing fundamentals, practical applications, the role of GIS, and start the journey with Earth Engine.

2

Learn to import and export data in Earth Engine, analyze image and feature collections using spectral indices, and evaluate land cover classification accuracy.

3

Dive into change detection techniques using various datasets and commence building basic Earth Engine apps.

4

Explore the publishing of Earth Engine apps, harness the Python API for comprehensive data analysis, and delve deeper into selected remote sensing concepts.

1

Kick start your learning by getting the installations and setup ready with brief Introduction to Robot Operating System (ROS).

2

Explore the concepts of ROS in a fun tool called TurtleSim. Brief introduction to what is Reinforcement Learning and its applications in real life.

3

Gain insights about Q Learning (a type of RL) and how to apply it in robotics to make robots do cool things. Also an introduction to Gazebo - a 3 dimensional simulation environment for your robots.

4

Learn about how to operate and work with a cool robot named ATOM. Building your own custom world for your robot to explore and learn to navigate it seamlessly without anyone's help.

1

Understanding the rendering pipeline, Diving into shader programming, understanding data management in the GPU

2

Visual enhancement using textures and samplers, Noise Generation similar to perlin noise and Blending methods to utilize effects of these noise in textures and shaders.

3

Understanding and implementing cellular automata's like Conway's Game of Life, Looking at different 3D rendering techniques like Rasterization, Raycasting, Raytracing etc.., Gain insight into post processing effects and its implimentations.

4

Gain insight into optimization techniques used in graphics programming, Figuring out how modern games and their graphics incorporations work on a large scale, Exploring the usage of GPU's in the field of general purpose computing.

1

Understand the basic modulation schemes used in satellite communication and get a good hold of using the necessary software tools.

2

Learn the theory behind different encoding and modulation techniques used in satellite signal processing.

3

Explore gr-satellites signal decoding and S-band satellite signal decoding using GNU Radio, an open source software

4

Gain insights of tracking, demodulating and decoding of satellite signals by building signal flow graphs in GNU Radio software.

1

Explore the evolution of NLP, including rule-based methods and key techniques like tokenization, stemming, and lemmatization. Understand the significance of and utilise word embeddings, such as TF-IDF, Word2Vec, and GloVe.

2

Dive into text classification and sentiment analysis, constructing classifiers with Naive Bayes and Logistic Regression. Delve into sequence models, covering Neural Networks, exploring RNNs, LSTMs, and GRUs, and constructing a Seq2Seq model.

3

Learn about Generative AI, Transformers & its architecture & the distinction between discriminative & generative models focusing on RAG. Explore LLMs, autoregressive models. Use LangChain, LLaMaIndex, access pre-trained models & build basic applications.

4

Plunge into RAG, connect it with training language models & transfer learning. Explore LLM architectures like GPT & LLaMa models with brief info on their math, ethical considerations in AI, bias identification, mitigation, privacy & more.

1

The first week will introduce the students to what quantum physics. All applications and sign ins will be done. The introduction to a qubit and a few quantum gates will also be done.

2

This week will cover phase estimation and entanglement.

3

This week will cover the first two quantum algorithms.

4

This week will have the last two algorithms and project discussion.

1

Explore about Printed Circuit Boards (PCBs), understand why they're essential, review their history, discovering the latest technology and investigate the workflow involved in designing a PCB.

2

Learn about the four crucial aspects essential for PCB design: EMC, EMI, Stray Capacitance, and Stray Inductance. Additionally, we'll explore thermal management strategies for effective PCB functionality.

3

Knowing various soldering techniques for component assembly, delve into diverse power switch types and their integration into circuits, understand concepts like free routing, and also learn about different ICs in our comprehensive learning journey.

4

Study the PCB fabrication process and apply our knowledge by creating a hardware prototype on a bare PCB using soldering techniques.

1

Learn about what a microcontroller is, how you can program an Arduino microcontroller and interface it with the external world of hardware.

2

Insights into Internet-of-Things and how it is rapidly advancing in today's world for automation of systems.

3

Design and build a full-fledged Traffic Signal Controller system with IoT features for remote monitoring and controlling.

4

Gain insights into fire alarm systems and fire fighting systems controlled by programmable logic controllers along with a full-fledged hardware demo.

1

Explore the architecture of blockchain, including the SHA-256 encryption algorithm, and compare Ethereum with Bitcoin. Additionally, delve into the basics of Solidity, a programming language used for developing smart contracts on the Ethereum platform.

2

Learn about Ethereum and its programming language, Solidity, including the basic and intermediate concepts required on the Ethereum.

3

Delve into advanced Solidity techniques, master object-oriented programming (OOP) in Solidity, and unlock the creation of tokens and non-fungible tokens (NFTs) on the Ethereum blockchain.

4

Discover the creation of tokens and non-fungible tokens (NFTs), as well as the fundamentals of Hyperledger Fabric for blockchain application development.

1

Delve into the fundamentals of regression analysis, understanding its significance in predictive modeling. From basic linear regression to advanced polynomial models, coupled with essential techniques like gradient descent and model evaluation metrics.

2

Journey through the essentials of classification, concepts of bias-variance trade-off, overfitting, and underfitting. Explore different clustering algorithms and the power of ensemble methods.

3

Discover the crucial role of feature selection and engineering, delve into reinforcement learning. There will be a hackathon midway through the course to apply newfound skills in real-world scenarios.

4

Unravel the concept of neural networks, mastering CNNs for image classification and delving into the intricacies of RNNs, culminating with an innovative project, setting the stage for future explorations in advanced machine learning.