Data & AI Training
AI Courses in Roorkee: From Python to Agentic AI
Practical artificial intelligence, machine learning, data science, generative AI, LLM and AI agent courses at AIIT Roorkee, designed around hands-on projects rather than theory alone.
- 11 AI and data courses
- Project in every course
- Research exposure available
AIIT Roorkee offers AI courses in Roorkee covering Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Data Analytics, Generative AI, Prompt Engineering, LLM Applications, AI Agents, Agentic AI and Business Intelligence, along with Intelligent Automation. Courses are practical, project based and suitable for beginners through advanced learners.
AI learning path
A Clear Route Through Modern AI
Start where you are. Each stage builds the skills the next one depends on.
01Foundations
Programming, data handling and a clear map of the AI field.
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Beginner to Intermediate
Python Training
Learn Python from first principles to files, OOP, APIs and data libraries, the language of choice for automation, data science and AI.
Software & Development -
Beginner to Intermediate
Artificial Intelligence
A structured introduction to AI: search, reasoning, machine learning, neural networks, NLP, computer vision, generative AI, agents and AI ethics.
Data & AI -
Beginner
Prompt Engineering
Learn to get reliable results from AI models: prompt structure, context, examples, reasoning, structured output, evaluation and reusable prompt libraries.
Data & AI -
Beginner to Intermediate
Data Analytics
Turn raw data into clear answers with Excel, SQL, Python and Power BI: cleaning, analysis, visualisation, dashboards and data storytelling.
Data & AI
02Data and Machine Learning
Statistics, modelling and the full data science workflow.
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Intermediate
Data Science
Learn the complete data science workflow: Python, statistics, data wrangling, visualisation, machine learning models, evaluation and communication.
Data & AI -
Intermediate
Machine Learning
Understand and build machine learning models: regression, classification, trees, ensembles, clustering, tuning, pipelines and model deployment basics.
Data & AI -
Beginner to Intermediate
Business Intelligence
Build reporting systems that guide decisions: data modelling, SQL, ETL, Power BI dashboards, KPIs, DAX and AI assisted analytics features.
Data & AI
03Deep Learning and Generative AI
Neural networks, transformers and building with modern models.
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Advanced
Deep Learning
Learn neural networks in depth with PyTorch: training, CNNs for vision, sequence models, transformers, transfer learning and practical GPU workflows.
Data & AI -
Beginner to Intermediate
Generative AI
Understand and apply generative AI: how LLMs and image models work, prompting, retrieval, APIs, evaluation, safety and building useful GenAI applications.
Data & AI -
Intermediate
LLM Applications
Build production minded apps on large language models: APIs, RAG pipelines, vector databases, tool calling, evaluation, cost control and deployment.
Data & AI
04Agents and Agentic Systems
AI that uses tools, plans steps and works inside real workflows.
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Intermediate
AI Agents
Design and build AI agents that use tools, plan multi step tasks, keep memory and work within guardrails, from simple assistants to workflow agents.
Data & AI -
Advanced
Agentic AI
Go beyond single agents: multi agent systems, orchestration, long running workflows, evaluation, governance and deploying agentic AI in real organisations.
Data & AI -
Beginner to Intermediate
Automation & Intelligent Automation
Automate repetitive work with Python scripts, APIs, no-code workflow tools and AI: from files and spreadsheets to intelligent document and email workflows.
Emerging Technologies
Why learn AI now
AI Skills Are Becoming Work Skills
AI is used in software, finance, healthcare, education, manufacturing, marketing and government. Understanding how it works, and how to use it responsibly, is valuable in technical and non technical careers alike.
- Build: models, AI assistants, retrieval systems and agents
- Apply: AI tools in analysis, content, operations and research
- Evaluate: accuracy, bias, privacy and safety of AI systems
- Explore: research questions and prototypes with mentorship
Machine learning engineer
Career direction supported by AI and data courses.
AI application developer
Career direction supported by AI and data courses.
Data scientist
Career direction supported by AI and data courses.
Data and BI analyst
Career direction supported by AI and data courses.
Automation specialist
Career direction supported by AI and data courses.
AI enabled professional
Career direction supported by AI and data courses.
Live projects
Build More Than Certificates
Apply what you learn through practical projects designed to strengthen technical understanding, problem-solving ability and portfolio development.
- Real problem statements, not copied tutorials
- Mentor reviews at every stage of the build
- Documented work you can present to others
AI & Data6
- AI applications
- Machine learning models
- AI assistants
- LLM applications
- AI agents
- Analytics projects
Software & Web5
- Websites
- Full-stack applications
- Mobile apps
- Dashboards
- Automation workflows
Systems & Emerging4
- IoT systems
- Blockchain prototypes
- Cloud applications
- Cybersecurity labs
AI courses FAQ
Questions About AI Courses
Which AI course should a beginner take at AIIT Roorkee?
Beginners usually start with Python Training and Artificial Intelligence, or Prompt Engineering if they want to use AI tools well without coding. From there, learners move into Data Science and Machine Learning or into Generative AI and LLM Applications.
Do I need a computer science background to learn AI?
No. Learners from engineering, science, commerce and other backgrounds can learn AI. Python basics and a willingness to learn statistics are the most important starting points.
What is the difference between Generative AI, AI Agents and Agentic AI courses?
Generative AI covers how models create content and how to use and build with them. AI Agents focuses on building agents that use tools to complete tasks. Agentic AI is an advanced course on multi agent systems, orchestration and governance.
Are AI courses at AIIT Roorkee practical?
Yes. Every AI course includes hands-on labs and projects, such as building models, document question answering assistants and AI agents.
Is there an AI course for working professionals?
Yes. Prompt Engineering, Generative AI, Automation and Business Intelligence are popular with working professionals who want to apply AI in their current roles.
Does AIIT Roorkee offer AI research opportunities?
Learners interested in going further can explore Research & Innovation programs covering applied AI and ML research, prototypes and research mentorship.