1.

In the first week, you will learn the fundamentals of music theory, the definitions of some of the terms used in music, understand what sounds good and why, and get used to using the music software Musescore.

2.

In the second week, you will learn about scales, rhythm and chords, arpeggios, triads and inversions.

3.

In the third week, you will learn a few musical concepts in certain musical genres, a rough idea on a workflow on how to compose, and a few extra tools such as modes.

4.

In the fourth week, you will learn about orchestral and quartet arrangements and obtain an understanding on music from a philosophical point of view.

1.

Explore C++ OOP and explore the basics of game development by creating windows, drawing rectangles and utilizing tile-maps for creating environments. Also master the game loop, handling events, inputs, and the fundamentals of movement mechanics.

2.

Learn advanced movement techniques; implement various methods to effectively handle collisions and gain insights into the realm of AI through the introduction of fundamental search algorithms such as Breadth-First Search (BFS) and Depth-First Search (DFS).

3.

Master Greedy BFS, A* algorithms. Attain smooth gameplay with timers, hardware consistency. Utilize sprite sheets, textures, and sprites for enriched game experience.

4.

Add the magic of animation to bring your games to life, understand the fundamentals of Reinforcement Learning and apply Q-learning to your games. Finally, enhance our game with advanced concepts such as tweening, state machines and Entity Component Systems

1.

Learn some simple, yet effective techniques to make great first impressions on people, and building rapport. We'll also be learning to identify conversational nuances and analysing the behaviour of people/celebrities that make them super charismatic.

2.

Understand what being a "Social leader" means, it's importance and the ways to become one. We will also learn how to tackle conflicts that arise in our personal and professional lives.

3.

Boosting our presentation skills with various insights and exercises to efficienly deliver our ideas across to a crowd.

4.

Extending everything we've learnt into addressing large crowds, learning the art of storytelling and evaluating ourselves through activities to see how far we've come since day 1!

1.

We will look at the fundamentals– what is UI and UX. After getting a clear understanding of these, we will look into the design thinking process and different prototyping techniques. Each topic will be followed by an in-class activity to get you going!

2.

We will look what is UI and it’s types. We will then take a deep dive into Figma and start creating webpages with basic transitions. Then transition to using smart animate with demonstration of various effects. Explore GUI guidelines, aesthetics for design

3.

In Week 3, we will look into prototyping: what is it and different ways to it. We will be looking into concepts like what are User personas, Empathy mapping & Competitor analysis.

4.

In Week 4, we will be looking into the process of story-boarding. We will also look at multiple design guidelines and portfolios to get an understanding of how to present your work.

1.

Embark on a comprehensive neural network journey. Delve into CNN fundamentals and their role in image analysis. Put theory into practice with MNIST Digit Recognition, setting the foundation for an exciting computer vision exploration.

2.

Journey further into neural networks. Master model evaluation: accuracy, loss metrics. Address overfitting challenges, delve into activation functions. Unleash creativity by crafting Instagram filters using CNNs for a unique touch.

3.

Discover YOLOv5: cutting-edge object detection framework. Grasp architecture, workflow. Learn Augmentations, dataset refinement. Begin annotations for hands-on object detection project exploration.

4.

Apply skills: train YOLOv5 models for object detection. Enhance performance via augmentation, parameter experiments. Hands-on project: end-to-end YOLOv5 implementation, practical computer vision expertise.

1.

Learn data preprocessing, exploratory data analysis, and delve into linear regression and gradient descent. Explore various supervised regression models, evaluation metrics, and advanced topics.

2.

Learn classification models (KNN, Logistic Regression), grasp Logistic Regression math. Explore unsupervised learning (clustering, dimensionality reduction). Master ensemble learning and its real-world uses.

3.

Explore content-based and collaborative filtering algorithms for developing recommender systems, and understand their real-world applications. Then, shift gears to neural networks, from fundamental concepts to practical implementations.

4.

Delve into neural networks, activation functions, optimizers. Apply networks to tasks like MNIST recognition. Shift to research: read papers, discuss trends, comprehend Kaggle ML competitions.

1.

Learn HTML, CSS, JavaScript basics. Structure content, style pages, interactivity. Use Browser DevTools for debugging. Intro to React: JSX, components, states, hooks.

2.

Delve into Node.js, Npm, and Next.js project setup. Explore APIs, dynamic routing. Learn about client-side rendering (CSR) and server-side rendering (SSR) data fetching. Create REST APIs using Next.js and perform API testing.

3.

Focus on essential styling techniques. Explore CSS Modules and Tailwind CSS, learning to craft appealing user interfaces. Look into Responsive Design and Layouts. Learn to write clean and maintainable code. Learn about UI Frameworks and API Integration.

4.

Learn SEO optimization techniques, enhancing visibility on search engines through effective metadata and code optimization. Learn testing and debugging techniques, setting up GitHub repository. Learn about deployments and its types.

1.

Discover finance step-by-step: from Excel essentials to smart investment choices. Explore investment decisions, Time Value of Money, Future Value, Compounding, Present Value, and Net Present Value. Develop sharp financial analysis and decision-making skill

2.

Embark on an adventure of financial understanding. From IRR guiding investments to the Payback Period's quick returns, discover puzzles of decision-making. Uncover finance tools, decode statements like a detective—analyze profit, balance, cash flow.

3.

Discover the world of valuation, taxation, and income tax concepts. Master absolute and relative valuation, comprehend tax significance, and grasp income tax essentials. Learn tax terminology, explore income categories, filing, and essential tax documents.

4.

Embark on an exploration of deductions' impact. Discover tax-saving strategies, from education to healthcare deductions. Introducing Winman ERP, your tax ally, guiding precise deduction planning and efficient filing. Revise finances via deduction mastery.

1.

Learn about what game development means, and the different systems involved in making a game. Create a detailed 3D scene, and learn about Blueprints Visual Scripting.

2.

Understand how to add user controlled agents, program movement for a character, create and transition between animations seamlessly, and have your characters react to collisions and physics events.

3.

Discover how to use simulations for hair, clothes, and fluids. Also explore AI in depth, and how to implement them into your games to create intelligent agents.

4.

Explore networking in Unreal Engine to create multiplayer experiences, and grasp the intricacies of designing user interfaces and captivating audio in video games.

1.

Master time series forecasting, Python, data science essentials. Convert business problems to stats challenges. Utilize Pandas, NumPy, Matplotlib, Seaborn. Demystify hypothesis testing.

2.

Delve into hypothesis testing and SGQ (Scenario, Gap, Key Question) understanding. Identify gaps, build comprehensive hypotheses. Develop layered models with nodes and questions. Employ exploratory data analysis (EDA) for insights using visualizations.

3.

Explore trends, seasonality impact on sales. Univariate vs. multivariate time-series. Role of rolling standard deviation in trend identification. Ensure data stationarity. Study forecasting models, visualizations, and code.

4.

We delve into fine-tuning models and creating presentations for tech teams and decision-makers. We'll explore model parameter fine-tuning, like ARIMA's grid search and Prophet's cross-validation. Changepoints and seasonality modes will be discussed.

1.

Gain a peek into the world of competitive programming, understand basic data structures like vectors and strings and understand intricacies such as constraints and complexities.

2.

Learn efficient algorithms for simple techniques such as sorting and searching and apply them onto complex problems, aided with the knowledge of understanding the role of mathematics in competitive programming.

3.

Dive deep into data structures such as maps, sets and linked lists. Understand and learn the implementation of various techniques for different problems.

4.

Explore complex and fascinating problem solving approaches such as recursion, greedy approach and dynamic programming to gain a step up in your competitive programming journey.

1.

Understand the basics of ML with common algorithm implementation and get introduced to RL concepts.

2.

Learn about bandit problems, delve into Markov Decision Processes, and explore dynamic programming techniques.

3.

Dive into the Monte Carlo method, a technique for numerical approximations and probabilistic simulations.

4.

Discover Temporal Difference Learning, a reinforcement learning method that updates predictions based on previous predictions and new data.

1.

Learn the basics of aerodynamics, history, standard atmosphere and spaceflight. Studying the basics of thermodynamics, fluid mechanics and various types of fluid flow, methods to study and properties. Starting to use Fusion 360 to design simple components.

2.

Discovering the essential trajectory laws that apply to rockets. Application of Design Modeler, the ideas of component discretization and in addition, a brief introduction to Ansys Fluent program utilized for analysis following setup and post-processing.

3.

Explore orbital spacecraft, Kepler's laws, and orbital equations. Understand rocket propulsion types, launchpads, and deep space propulsion. Learn about turbomachinery's role and basics of research paper analysis.

4.

Gaining insight into fluid flow within nozzles, examining their function as thermodynamic devices. Specific instances of nozzle applications are also explored. Acquainting with Open Rocket software, a fundamental simulation tool.

1.

Learn what 3-D modelling is and how it is implemented. Gain the ability to model one's imagination and grasp on the purpose of design.

2.

Numerical methods employ computational techniques like finite difference, interpolation, and iteration to provide accurate approximations for complex problems with elusive analytical solutions.

3.

Acquire basic MATLAB skills to efficiently use it for designing and simulating complex problems, leading to the creation of suitable solution systems.

4.

Familiarize oneself with the process of designing a component and analyzing it's usability in real-life situations with the help of simulation software-Ansys.

1.

The systematic unraveling of the British Rule alongwith the economic, political and social consequences. Introduction to the concept of Nationalism.

2.

Rise of Nationalism, significant movements in the freedom struggle, constitutional developments after independence, landmark cases.

3.

Introduction to the reorganisation of states, state disputes, grassroot democracies.

4.

Party system, influence of caste and religion in Indian Politics, ideology, Geopolitics.

1.

Learn how Intellectual Property (IP) law protects creative work, encourages innovation, and ensures creators are fairly compensated. This includes an introduction to copyrights, and trademarks.

2.

Gain a practical understanding of Trademark law and learn everything you need to know about Patent law.

3.

Discover all the other types of Intellectual Property and gain a deeper understanding of the horizon of protection available to creativity and innovation.

4.

Learn about international protection of rights and delve into the emerging trends in intellectual property.

1.

Explore crafting effective marketing strategies and strong brand identities. Cover market analysis, audience segmentation, and strategic planning's impact on marketing success.

2.

Learn digital marketing and influencer collaboration, covering channels, social media, content creation. Explore the impact of influencer partnerships on brand reach and engagement.

3.

Discover SEO techniques for online visibility, including keyword research and optimization. Learn to measure SEO effectiveness and utilize data-driven insights for strategy refinement.

4.

Delve into strategic decision-making using marketing analytics, A/B testing, and data interpretation. Conclude by examining the game-changing potential of Generative AI in automating marketing tasks and generating creative content.

1.

Learn about the basics of fundamentals of a business (Finance, Marketing, HR, etc.) and an overview of all the business structures & how to select one. Concepts of Private Limited Company (PLC) will be covered.

2.

Concepts of Private Limited Company (PLC) & One Person Company (OPC) will be covered in depth. Topics such as how a PLC/OPC works, the methods of establishment, ways of financing, profit sharing among the owners, etc. will be covered.

3.

Delve deeply into Limited Liability Partnership (LLP) concepts alongside Indian taxation basics, covering LLP operations, establishment methods, financing, profit sharing, and fundamental tax aspects like filing, rebates, and tax slabs.

4.

Discover the ways and methods of pooling of resources for a new business entity in India will be covered followed by the project presentation. Topics such as how to raise capital, how to manage finance, how to allocates the resources, etc. will be covered.

1.

Learn what start-ups are and explore the essential legal aspects such as choosing the right business structure and protecting your intellectual property.

2.

Explore all the operational compass, you need to steer your startup in the right direction such as drafting contracts, negotiating, investing, and maintaining employer-employee relations.

3.

Discover all the regulatory compliance methods to strategize your company's growth such as taxation, data privacy and E-Commerce challenges.

4.

Gain insights into exit strategies, dispute resolution and litigation methods and discuss future trends and challenges.

1.

Learn the basics and how to model in Fusion 360. We'll learn assemblies and create simple models with solid bodies.

2.

Advance in Fusion 360 with more complex operations. Discover various manufacturing methods and how to design and optimise for them. Start creating basic Arduino circuits in Tinkercad.

3.

Discover and become acquainted with the Arduino IDE and the arduino ecosystem. Learn to incorporate electronics into your designs and program for them.

4.

Create designs and add electronics that will be incorporated with the Home Assistant IoT network.

1.

Learn what is app development, introduction to flutter, installing flutter on your systems and basics of dart programming and learn how to write programs on your own using dart pad.

2.

Getting into flutter, layouting and common widgets , types of widgets(stateless and stateful), how widget tree works and how the widgets are rendered upon the screen. Breaking down a UI design from Figma and coding it down as an app.

3.

Introducing to APIs, Futures, how APIs are essential in the entire process of development, building an app that displays weather using OpenWeather API. Introduction to backend, why is backend needed and how backend talks to frontend using APIs.

4.

Firebase essentials, how firebase works, how flutter can be connected to firebase, building an authentication form in flutter using Firebase APIs.

1.

Comprehensive coverage of security including its importance, principles, cryptography, secure password storage, as well as SQL injection causes, exploitation, and mitigation.

2.

Learn web protocols including HTTP and REST, along with security topics like cookie spoofing, CSRF, and XSS vulnerabilities.

3.

Delve into network protocols, layers, and port scanning. Learn vulnerabilities like File Upload, Code Execution, and Reverse Shell with demos, plus practical Red Team exercises and Blue Team solutions for hands-on security expertise.

4.

Learn Cloud Security with AWS essentials (S3, IAM), AWS CLI basics, and public S3 risks. Explore OSINT concepts (URLs, domains, search engines) and touch on the dark web. Also covers JavaScript obfuscation.

1.

Understand entrepreneurship's essence and its modern economic role. Learn entrepreneur traits, historical cases, form strong startup teams, identify market gaps, and validate ideas using lean principles.

2.

Explore Business Model Canvas for a robust model, create go-to-market strategies, and grasp product development cycles. Understand MVP's importance, learn startup financial planning, funding options, and excel in crafting persuasive elevator pitches.

3.

Learn startup marketing and branding essentials, craft sales and customer acquisition strategies. Grasp scaling and growth management tactics. Develop effective presentation and pitching skills.

4.

Enhance innovation comprehension by solving real-world issues, creating actionable Business Model Canvases. Design resonating brand identity, craft impactful pitch decks, and refine delivery skills for investors and partners.

1.

Kickoff with an overview of computer vision and its practical implications. Discuss the ethical considerations surrounding AI and computer vision technologies.

2.

Explore image compression for storage, image morphology for shape analysis. Delve into transformation techniques and image segmentation for manipulation and isolating image parts.

3.

Grasp foundational machine learning for computer vision, emphasizing object detection and its applications. Explore video analysis, tracking moving objects in videos.

4.

Discover neural networks, backpropagation, and deep learning basics. Apply deep learning in computer vision, focusing on CNNs for image analysis, classifiers, and image segmentation.

1.

Explore embedded systems, including definitions, components, applications, classifications, and characteristics. Differentiate between microprocessors and microcontrollers.

2.

Learn about communication interfaces, embedded operating systems, and computer parts. Explore communication interfaces' details and use cases, get introduced to embedded OS, and gain insights into computer parts and VLSI aspects.

3.

Microcontrollers: Learning to use a microcontroller, how to code for different microcontrollers, how does sensors and actuators work and how to handle errors.

4.

You will be working on your final project where I will be mentoring you in the project of your choice.

1.

Embark on your cloud journey with an insightful introduction to AWS. Navigate through cloud models, deployment options, and the AWS interface, setting the stage for an exciting exploration of cloud computing possibilities.

2.

Unravelling the vital realm of Identity and Access Management (IAM). Learn user authentication, permissions, and role management, equipping yourself with the skills to fortify your AWS resources against unauthorized access.

3.

Mastering Amazon EC2's virtual server deployment for scalability. Explore Amazon S3's object storage, honing your ability to create, manage buckets, and secure data. Solidify your command over fundamental AWS services.

4.

Unleash innovation with AWS Lambda's serverless capabilities. Dive into event-driven computing and explore key AWS services, expanding your toolkit for dynamic application development. Elevate your proficiency in crafting efficient cloud solutions.

1.

Learn what is an Arduino and it's different types. Explore the different types of sensors available for the Arduino along with learning to use different sensors with actuators for building projects.

2.

Discover how specific sensors work such as a photoresistor, basic voltage balance circuits using potentiometer.

3.

Initiate the utilization of motors as actuators in your Arduino projects. Acquire insights into diverse motor types and their control mechanisms. This learning endeavor empowers you to seamlessly integrate motion and functionality into your creations.

4.

Analyze real robots and learn more about how they work using the various sensors.

1.

Start your robotics journey by setting up ROS Noetic, Gazebo, and Autodesk Fusion 360. Build core Autodesk Fusion 360 skills to design customized robots, enabling practical hands-on learning.

2.

Delve into the essential robotics concepts including URDF creation, model spawning, and ROS messaging for a comprehensive learning approach. Master the Publisher-Subscriber protocol to enhance your skills in a hands-on manner.

3.

Discover advanced topics including integrating rqt_gui into launch files, creating ROS nodes, utilizing sensor plugins, and coding for publisher-subscriber interactions. Dive into controller implementation for a well-rounded understanding of robotics.

4.

Explore hardware integration using Arduino and leverage Rosserial for seamless communication within the ROS ecosystem. Gain hands-on experience bridging the gap between software and physical components.

1.

Introducing the Basics of Cell Biology, Structure of DNA, Cell cycle and Division. We will see an overview of Cancer, Oncogenesis, DNA damage and repair, hallmarks of cancer.

2.

Study cancer cell cycle, emphasizing p53's significance, progression, tumor types, and gene regulation. Cover gene expression, mutations, tumor suppressors, and proto-oncogenes in cancer.

3.

An overview on Bioinformatics and Research Methodology. Cell Division and Cancer Risk. Lab Techniques (An overview of NGS Library Preparation of Cancer Cells).

4.

Different types of cancer cell pathways. Personalised medicine-Introduction to the latest advancements in treatment options for Cancer. Bioethics, as it is extremely important to learn how scientific research and advancements are governed.

1.

Gain an introduction to Machine Learning,Understanding the fundamentals of machine learning, exploring types, key terms and common challenges. Emphasizing the importance of data visualization and data preparation using python's libraries.

2.

Learn practical data preprocessing including missing data, normalization, and categorical handling. Explore hands-on Linear Regression, Logistic Regression, and classification evaluation using cross-validation and metrics.

3.

Dive into Decision Trees, Random Forests, and SVMs, grasping their mechanics and practical application, including kernel methods. Learn hyperparameter tuning through Grid Search CV and randomized search CV to optimize model performance.

4.

Address class imbalance with oversampling, undersampling, and learn Unsupervised Learning with K-means clustering. Also, explore Dimensionality Reduction through Principal Component Analysis (PCA).

1.

Learn what Forensic Science is and the different terminologies used in Forensic Science , the protocol followed after a corpse is discovered, The different units involved, Types of evidence found and documentation of the same.

2.

Master the skills of Search pattern through Notes and Photos. Role and importance of a Crime sketch, Evidence Collection, Different types of bullets used and Signature analysis.

3.

Introduction to Forensic Graphology , Handwriting Analysis, Introduction to Dactyloscopy , Recording and Developing fingerprints, Toxicology.

4.

Biotechnology aspects used in Forensic Science. Forensic Psychology and the criminal minds. Changes that happen to the body after death and How is a Forensic autopsy report created.

1.

Ability to structure content with HTML, improve aesthetics through CSS, and add interactivity using JavaScript. Creating a foundation for crafting engaging and functional web experiences.

2.

Creating dynamic websites with advanced JS, mastering events and DOM manipulation for dynamic content updates. Enhancing their styling with Tailwind CSS. Learning to build interactive user experiences using React and creating engaging web content.

3.

Ability to develop dynamic React applications, craft engaging and interactive user experiences with animations using GSAP, and create advanced web applications using the Next.js framework.

4.

Robust understanding of Next.js, backend development, MongoDB integration, and animation techniques, enabling students to build dynamic, interactive web applications with enhanced user experiences.

1.

Understand how AI is different from traditional machine learning, dive into the various responsibilities and biases while using AI. Explore basic pre-processing techniques such as tokenization and vectorization, to understand the text better.

2.

Delve into the basics of OpenAI and langchain. Understand the various functions offered by each of them.

3.

Study the steps required to create a personalized chatbot/document QA system, from creation of the embeddings to creating the final Conversational Retrieval Chain.

4.

Comprehend what Langchain Agents are, completing this course and equipping you to create your own conversational agents!

1.

Introduction to the basics of ethical hacking and the Linux OS. Exploring the field of Open Source INTelligence (OSINT) and how penetration testers and analysts use this to gain information.

2.

Learning CLI as well as different commands to navigate and execute tasks on the system. Learning networking basics, different topologies and also the different attacks carried out on networks.

3.

Demonstration of wireless networks and attacks on wireless systems. Moving on towards system attacks and understanding the linux system as a whole, then diving into actually hacking into some systems!

4.

Hacking into boxes on their own in teams which will be created the week prior. The boxes (aka systems with vulnerabilities) will give you a sense of the "red team".