About Quantum Machine Learning
The elective integrates quantum computing with machine learning. It explains quantum-enhanced data processing, QML frameworks, and how quantum algorithms can accelerate next-gen AI applications.
Learning Modules
Quantum Computing Basics
Understand the fundamentals of quantum computing and its potential to transform data processing and AI.
Quantum Machine Learning (QML)
Explore QML frameworks and techniques that integrate quantum computing with advanced machine learning models.
Quantum-Enhanced Data Processing
Learn how quantum algorithms accelerate data processing, enabling faster and more efficient computations.
Quantum Algorithms
Understand key quantum algorithms and their applications in solving complex problems beyond classical capabilities.
Next-Gen AI Applications
Apply quantum computing principles to design AI solutions for next-generation applications in real-world scenarios.
Career Path
Full Stack Developer
Designs and builds both front-end and back-end components of web applications.Works with modern frameworks, APIs, cloud deployment, and scalable architectures.
Mobile App Developer
Develops Android and iOS applications using native or cross-platform frameworks. Focuses on performance, UI/UX, and integration with cloud-based backends.
DevOps Engineer
Automates development pipelines, manages CI/CD, and ensures smooth deployment. Works with containerization, monitoring tools, and cloud infrastructure.
Systems Analyst
Evaluates business requirements and designs technology solutions. Works closely with stakeholders to analyze workflows and recommend system improvements.
AI / ML Engineer
Builds machine learning models and integrates AI solutions into applications. Uses modern ML frameworks, data pipelines, and responsible-AI practices.
Technical Project Manager
Leads IT projects, manages timelines, and coordinates cross-functional teams. Ensures successful delivery of technology solutions aligned with business goals.
Software Engineer
Designs, develops, tests, and maintains software applications. Works with modern languages, design patterns, and agile development practices.
Data Scientist
Analyzes large datasets to uncover insights and build predictive models. Uses statistical methods, machine learning, and data visualization tools.
Cloud Developer
Builds and deploys applications on cloud platforms like AWS, Azure, or GCP. Works with serverless computing, cloud-native tools, and scalable architectures.
Cybersecurity Analyst
Protects systems, data, and networks from cyber threats. Performs risk assessments, monitors attacks, and implements security controls.
Awards and Recognitions








