About Natural Language Processing
The elective explains how computers understand human language using text classification, sentiment analysis, speech processing, and language modelling. It also highlights applications like chatbots and virtual assistants.
Learning Modules
Text Classification
Learn how computers categorize and classify text into predefined categories, enabling automated organization and understanding of textual data.
Sentiment Analysis
Analyze text to detect emotions, opinions, or sentiment polarity, helping machines understand customer feedback, reviews, and social media posts.
Speech Processing
Process and interpret spoken language, enabling applications like speech recognition, voice commands, and real-time transcription.
Language Modelling
Learn how machines predict and generate human language sequences, forming the foundation for NLP applications like translation and text generation.
Chatbots & Virtual Assistants
Build intelligent conversational agents that understand and respond to user queries, providing automated support and assistance.
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








