Data Science
Beginner to Intermediate
3–6 months
End-to-end data science: statistics, Python, ML models, and how to present insights that drive business decisions.
View course detailsData & AI · Online / Offline
AI
Understand Artificial Intelligence concepts and build practical awareness of AI applications used in industry today.
Duration2–4 months
LevelBeginner to Intermediate
ModeOnline / Offline
LocationDombivli East & Online
About this course
Artificial Intelligence is changing how businesses work. This course explains AI concepts in a practical, beginner-friendly way — from how machines learn and what neural networks do, to using modern AI tools responsibly and understanding their limits.
Training is available in Online and Offline modes from our Dombivli East centre at Navare Plaza. Batch timings can be discussed during counselling so the schedule fits students and working professionals.
Key highlights
AI fundamentals
Understand what AI is and how it differs from machine learning and deep learning.
Neural networks
Get an intuitive introduction to how neural networks learn.
Real business use cases
See how AI is applied in healthcare, finance, retail and more.
Responsible AI
Learn about bias, privacy and the limits of AI systems.
What you gain
- A clear, jargon-free understanding of core AI concepts.
- Hands-on exposure to Python-based AI experiments and modern AI tools.
- The ability to identify where AI can help in a business problem.
- Awareness of ethics, bias and responsible AI use.
Course syllabus
7 modules, taught step by step from fundamentals to practice.
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1
Introduction to Artificial Intelligence
History and scope of AI, types of AI, AI vs ML vs deep learning, and real-world applications.
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2
Python for AI Basics
Python essentials, working with data, and setting up a simple AI experimentation environment.
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3
Machine Learning Concepts
Supervised and unsupervised learning, training and testing, features, and model evaluation.
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4
Neural Networks and Deep Learning Intro
Neurons, layers, activation functions, how networks learn, and an overview of CNNs and RNNs.
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5
Natural Language Processing and Computer Vision Overview
Text processing, chatbots, sentiment analysis, image recognition, and where each is used.
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6
Generative AI and Prompting
How large language models work at a high level, writing effective prompts, and using AI assistants productively.
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7
AI Ethics, Risks and Future Trends
Bias, fairness, privacy, explainability, regulation awareness, and emerging career paths in AI.
Learning approach
Concepts
Demos
Guided experiments
Mini use-case
Discussion
Tools & technologies
Py
Python
Language used for most AI experiments.
JG
Jupyter / Google Colab
Notebook environments for running AI code.
Sc
Scikit-learn
Introductory machine learning models.
GA
Generative AI tools
Practising prompt design with modern AI assistants.
Explore potential career paths
AI / ML Trainee
Support model experiments and data preparation.
Data Analyst (AI-aware)
Use AI tools to speed up analysis.
AI Product / Business Associate
Identify AI opportunities in business.
Prompt / AI Operations Associate
Apply AI tools in everyday workflows.
Career paths shown are illustrative roles that use these skills; outcomes depend on your effort, background and the job market.
Why choose CIT?
- Career-focused learning: A curriculum aligned with relevant AI skills.
- Practical approach: Exercises and hands-on practice to reinforce concepts.
- Industry-relevant tools: Learn commonly used tools for AI.
- Project-based practice: Opportunities to apply concepts to realistic problems, if included in the delivery.
- Learning for different backgrounds: A pathway designed for learners building or expanding their skills.
Who can join?
- Students and graduates curious about AI
- Working professionals wanting AI awareness
- Beginners planning to move into ML or data science
- Business and non-IT learners who want to use AI at work
Common questions
Can I attend AI Online?
Yes. This course is available in both Online (live sessions) and Offline (Navare Plaza classroom) modes.
Do I need prior experience?
This course is listed as Beginner to Intermediate. Our counsellors will confirm the right starting point based on your background.
How do I get the full syllabus, fees and batch dates?
Fees, syllabus details and batch dates are shared during counselling. Call +91 99672 46501 or send an enquiry.
Start AI at CIT
Seats and batch timings vary — enquire today for the next available Online or Offline batch.