Learning Outcomes

• Problem-Solving: Deploy AI (e.g., predictive models) for real-time issues in healthcare.
  
• System Design: Build smart apps/agents with Python, TensorFlow.
  
• Data Analysis: Use ML/stats to uncover insights from big data.
  
• Ethical Practice: Ensure bias-free, responsible AI as per global standards.
  
• Career Ready: Excel in jobs, startups, or M.Tech/PhD Programs.

Infrastructure and Learning Resources

• AI Labs: GPU servers, TensorFlow/PyTorch for ML projects.
• Smart Classrooms: Interactive boards, video tools for live coding.
• LMS: Online courses, quizzes, 24/7 access.
• LCS: Recorded lectures with subtitles for review.
• Wi-Fi Campus: Full connectivity for cloud AI works.
• Digital Library: E-journals (IEEE), AI databases remotely.

Key Career Roles

Graduates land entry-level positions with attractive packages.

• AI Engineer: Design AI models for apps.
• ML Associate: Build/train ML systems; focus on predictive analytics.
• Data Analyst (AI): Extract insights from data using AI tools.
• AI App Developer: Code intelligent software; e.g., chatbots, recommenders.
• Automation Executive: Deploy AI for business processes; manufacturing/logistics.
• Research Assistant: Support AI projects at IITs, labs.
• Robotics Engineer: Integrate AI in robots; defence/auto sectors.

Higher Studies

Solid base for M.Sc. AI/ML, M.Tech, PhD at premier institutes like IITs, IISc. Prepares for global certifications (Google AI, AWS ML)

Why Choose Samata College?

• Qualified and experienced faculty.
• Strong focus on skill development and employability.
• Industry interaction, internships and placement support.
• Holistic student development through mentoring and value-added programmes.

Programme Goals
The curriculum adopts an Outcome-Based Education (OBE) approach, prioritizing ethical AI practices and real-world applications. It aligns with national standards of UGC and AICTE, preparing students for roles in the digital economy.

Emphasizes hands-on learning in AI algorithms, machine learning and data analytics.
Integrates interdisciplinary subjects for holistic development, similar to industry-driven programmes at other institutions.Supports higher education pathways, such as M.Sc. AI.

Key Features of the Programme

• Industry AI Curriculum: Covers ML, Neural Nets, Robotics, as job Opportunities at IT Sector.
• Project-Based Learning: Real-time projects like chatbots, predictive apps and build portfolios.
• CS + Math + Analytics: Core skills for data science and automation roles.
• Ethical AI Focus: Bias-free, secure systems for regulated industries.
• Mentoring + Assessment: Ongoing support for skills and placements.
• Career Scope: High demand AI jobs grow cummilative year on year.

Career Opportunities

Career opportunities include:

• AI Engineer – Develop intelligent systems using Artificial Intelligence.
• Machine Learning Engineer – Build models and algorithms using Machine Learning.
• Data Analyst – Analyze and interpret large datasets using AI tools in Data Science.
• Data Scientist – Use statistics, programming and AI to extract insights from big data.
• Natural Language Processing Engineer – Build chatbots, translation systems and text-analysis tools using Natural Language Processing.
• Computer Vision Engineer – Develop systems that understand images and videos using Computer Vision.
• AI Researcher – Conduct research and develop new AI technologies.
• Software Developer (AI Applications) – Create AI-powered applications and intelligent software systems.