Personalized guidance across a range of subjects, tailored to your individual needs and goals
Base Layer
Specialization Layer
BASE LAYER
Computer Science: Mastering the Digital Realm
Building up the Foundation
1
Algorithms and Data Structures
Delve into the foundations of computer science, understanding how algorithms solve problems efficiently and how data structures organize information effectively.
2
Programming Languages
Master popular programming languages like Python, Java, C++, or JavaScript, developing the skills to build software solutions and bring your ideas to life.
3
Software Engineering
Learn the principles of software development, from design and implementation to testing and deployment, ensuring the creation of robust and reliable applications.
4
Prototyping to Commercial Product Development
Explore the interconnected world of computer networks, gaining knowledge about network protocols, cloud, data science, machine learning, operations research etc… in the digital landscape.
Applied Mathematics
Putting Foundation into Framework
Mathematical Finance, Algorithmic Trading, Data Science, Machine Learning. Operations Research, Numerical Linear Algebra
Product/ Prototype Development
Enriching Formed Framework with Programming Languages of your Choice :
Backend and Frontend Development
Cloud Engineering as a Discipline
On - prem vs Commercial Cloud Further Product Development
Master the art of building, deploying, and managing applications and services on the on-prem/commercial cloud - microservice approach.
Cloud engineering encompasses a range of essential skills, from infrastructure design to automation, security, and monitoring.
SPECIALIZATION LAYER
#1 : Financial Engineering
Engineering a Solid Quantitative Algo Strategy
1
Quantitative Finance
Explore the intersection of finance and mathematics, applying quantitative methods and statistical models to analyze financial data, price assets, and manage risk.
2
*Derivatives and Options Pricing
Learn about derivatives, options, and futures, understanding their role in risk management, hedging strategies, and financial engineering.
3
Algo Trading
Develop strategies for building and managing investment portfolios, optimizing asset allocation and risk management to achieve desired financial goals.
4
Quantitative Investing
Develop strategies for building and managing investment portfolios, optimizing asset allocation and risk management to achieve desired financial goals.
#2 : Machine Learning and Data Science
Unlocking the Power of Data and Feature Engineering
Supervised Learning
Learn algorithms like linear regression, decision trees, and support vector machines, using labeled data to make predictions and classify data points.
Unsupervised Learning
Explore clustering algorithms like k-means and hierarchical clustering, uncovering hidden patterns and structures within unlabeled data.
Deep Learning
Dive into the world of neural networks and deep learning, building powerful models for image recognition, natural language processing, and more.
Reinforcement Learning
Learn about reinforcement learning algorithms, where agents learn through trial and error by interacting with their environment to achieve specific goals.
#3: Operations Research & Development
1
Mathematical Modelling Language Development
2
Commercial Solver Handling
3
Developing models in Energy, Power System, Market Modelling, Portfolio Management and other Area of your Choice
#4: Quantitative Energy Finance and Optimization
1
Mathematical Modelling Language Development
2
Commercial Solver Handling
3
Power System Modelling
Flow-based Market Coupling
Security Constrained Economic Dispatch
Linear Network Analysis
Direct Current Power Flow / Alternating Current Power Flow