Online BCA in Artificial Intelligence & Machine Learning

Builds deep learning models (CNN, RNN, LSTM) for image recognition, NLP, and AI-driven solutions.

Develops AI-based applications such as chatbots, recommendation systems, and computer vision solutions.

Analyzes data, extracts insights, builds predictive models, and works with statistical and machine learning techniques.

Develops, tests, and deploys machine learning models. Works on supervised, unsupervised, and reinforcement learning algorithms.

A software developer designs, codes, tests, and maintains software applications and systems by writing code in various programming languages to meet user needs and business requirements. They are involved in the entire software development lifecycle, from initial concept and design to deployment and ongoing maintenance, and work across nearly every industry. Their work includes creating consumer-facing apps, building enterprise systems, and ensuring the functionality and usability of software.

A Data Analyst Engineer is a role focused on developing and maintaining data systems and analytics tools to make data accessible and usable for business insights. This position combines the technical skills of data engineering (like building and maintaining data models and systems) with the analytical and communication skills of a data analyst to translate complex data into clear, actionable insights for stakeholders. Responsibilities include designing and building data pipelines, ensuring data quality and integrity, creating data models, and collaborating with teams to create reports and visualizations.

An AI engineer's job description involves designing, developing, and deploying AI and machine learning (ML) models and systems to solve business problems. Responsibilities include building and managing AI infrastructure, training and optimizing algorithms, integrating models into applications via APIs, and collaborating with cross-functional teams. This role requires a blend of software development, data science, and programming expertise to work on everything from NLP and computer vision to predictive analytics and generative AI models

Translate business needs into AI solutions, analyze processes, build reports.

Explain AI products to clients, demos, technical sales

Monitor AI systems, troubleshoot issues, improve workflows

Support AI projects, documentation, client coordination, manage teams.