B.Tech CSE (AIML)
B. Tech in Computer Science & Engineering (AIML)
Artificial Intelligence (AI) and Machine Learning (ML) are changing the way businesses and industries work. These technologies help machines learn from data, identify patterns, and make decisions with very little human effort.
What is Artificial Intelligence (AI)?
AI means the ability of machines or computer programs to imitate human intelligence. AI systems can handle tasks like problem-solving, decision-making, speech recognition, and understanding natural language.
What is Machine Learning (ML)?
ML is a branch of AI that focuses on creating algorithms that help computers learn and improve their performance through experience. Instead of following fixed programming, ML models study large amounts of data and make predictions or decisions.
Why is AI & ML Important?
- Automation: Reduces manual work by handling repetitive tasks automatically.
- Data-Driven Decision Making: AI analyzes large amounts of data to give useful insights.
- Enhanced Efficiency: Increases productivity in businesses and industries.
- Personalization: Offers tailored experiences in fields like marketing and healthcare.
Why is AI & ML Important?
Students who have completed Karnataka 2nd PUC / 12th standard / 10+2 / Intermediate or an equivalent exam with Physics and Mathematics, along with Chemistry, Computer Science, Biology, or any other optional subject, and have studied English as one of the languages, must have secured at least 45% marks.
For SC/ST and other backward class students of Karnataka, the minimum required marks in optional subjects is 40%, regardless of the marks scored in entrance exams like CET, COMED-K, AIEEE, or any other equivalent entrance test. (Eligibility is as per government norms and may change from time to time).
Career Opportunities in AI & ML
The fields of Artificial Intelligence (AI) and Machine Learning (ML) are growing rapidly, creating many career opportunities in different industries. As businesses increasingly depend on automation, data-driven decision-making, and AI-based solutions, professionals with AI and ML skills are in high demand.
Top Career Roles in AI & ML
Machine Learning Engineer
- Develops and implements ML models for business applications.
- Works with large datasets, deep learning, and AI frameworks.
- Skills: Python, TensorFlow, PyTorch, data engineering.
Data Scientist
- Analyzes complex data to provide business insights.
- Uses statistical models and ML algorithms for predictions.
- Skills: SQL, Python/R, data visualization, machine learning.
AI Engineer
- Designs AI systems like chatbots, recommendation engines, and automation tools.
- Works with deep learning, computer vision, and natural language processing (NLP).
- Skills: Python, AI frameworks, neural networks, cloud computing.
Business Intelligence (BI) Analyst
- Uses AI & ML tools to study business trends and performance.
- Helps companies make data-driven decisions.
- Skills: Data analytics, SQL, Tableau, Power BI, predictive modeling.
AI Product Manager
- Manages AI-based product development and strategy.
- Works closely with AI engineers, data scientists, and business teams.
- Skills: Project management, AI knowledge, business strategy.
Robotics Engineer
- Develops AI-powered robots for industries, healthcare, and defense.
- Works with robotics, AI, and ML algorithms.
- Skills: Robotics, Python, AI/ML, hardware integration.
AI Research Scientist
- Conducts advanced research in AI and ML.
- Works in universities, research labs, and tech companies.
- Skills: Mathematics, deep learning, AI ethics, algorithm development
Industries Hiring AI & ML Professionals
- Business & Finance: AI-driven analytics, risk assessment, and fraud detection.
- Healthcare: AI in medical imaging, personalized treatments, and drug discovery.
- Retail & E-commerce: AI chatbots, customer behavior analysis, and recommendation systems.
- Automotive: Self-driving cars and predictive maintenance.
- Education: AI-powered e-learning platforms and student performance analysis.
- Marketing: AI-based customer targeting, sentiment analysis, and automation.
Real-World Applications
- Business: AI-powered chatbots, predictive analytics, and automation.
- Healthcare: AI-assisted diagnosis, drug discovery, and patient care.
- Finance: Fraud detection, stock market predictions, and risk assessment.
- Education: AI-based tutors and adaptive learning platforms.
- Retail: Recommendation systems, customer segmentation, and demand forecasting.
AI and ML are growing rapidly and becoming essential in today’s industries. As businesses increasingly depend on data-driven strategies, AI & ML play a key role in shaping the future.
How does Qube support the development of a career in AI & ML?
- Learn Programming: Master languages like Python, R, or Java.
- Understand Mathematics & Statistics: Focus on linear algebra, probability, and calculus.
- Gain Knowledge in AI/ML Algorithms: Learn about supervised, unsupervised, and deep learning techniques.
- Work on Real-World Projects: Develop AI models and take part in competitions like Kaggle.
- Earn Certifications: Get certified with Google AI, Coursera ML, or IBM AI programs.
- Internships & Networking: Gain industry experience and build connections with professionals