Beginner-Friendly Artificial Intelligence
Mastery in Lucknow (2026 Edition)
Start your journey into the world of smart machines at KAiSH Computer Institute, Aliganj. Our curriculum is designed for absolute beginners to understand how AI thinks, learns, and solves real-world problems.
Zero to Hero Python
No coding experience? No problem. We start with the absolute basics of Python—the language of AI.
Machine Learning 101
Learn how computers learn from data patterns without being explicitly programmed.
Generative AI & Bots
Build your first Chatbot and understand how tools like ChatGPT and Gemini actually work.
The AI Discovery Path
Our Lucknow-based training simplifies complex math and logic into Practical Creative Projects. We teach you to build, not just observe.
Objectives of the AI Course
- Build strong foundations in Python for AI workflows.
- Teach applied statistics and data analysis for AI.
- Train students in Machine Learning algorithms.
- Introduce Deep Learning, Neural Networks and TensorFlow.
- Build real-world AI projects using datasets.
- Prepare students for AI Developer & ML Engineer roles.
Artificial Intelligence Course Syllabus
- Python Basics – Syntax, Variables, Loops, Functions
- Python Libraries – NumPy, Pandas, Matplotlib
- Data Cleaning, Data Wrangling & EDA
- Probability, Mean, Median, Standard Deviation
- Distribution types, Correlation, Regression basics
- Gradient Descent, Cost Function Concepts
- Supervised Learning – Regression, Classification
- Algorithms – Linear Regression, Logistic Regression
- KNN, SVM, Decision Trees, Random Forest
- Model Evaluation – Confusion Matrix, ROC-AUC
- Introduction to Neural Networks
- Activation Functions & Backpropagation
- TensorFlow & Keras Basics
- ANN Model Building
- Image Processing Basics
- CNN – Convolutional Neural Networks
- Object Detection Basics
- Text Cleaning & Preprocessing
- Sentiment Analysis Project
- Chatbot Basics
- Image Classification Project (CNN)
- Sentiment Analysis Model
- Recommendation System
- Chatbot using NLP
- Python • TensorFlow • Keras • Scikit-Learn
- NumPy • Pandas • OpenCV • Matplotlib
- Jupyter Notebook • Google Colab
📌 PYTHON FOR AI
📌 STATISTICS & MATHEMATICS FOR AI
📌 MACHINE LEARNING
📌 DEEP LEARNING & NEURAL NETWORKS
📌 COMPUTER VISION (CV)
📌 NATURAL LANGUAGE PROCESSING (NLP)
📌 AI PROJECTS
📌 TOOLS COVERED
Who Can Join the AI Course?
- 12th Pass / Graduate Students
- Beginners with no programming experience
- Working Professionals
- Students aiming to enter AI/ML/Data Science field
No prior coding knowledge required.
Course Duration
- 4 Months – AI + ML Basics
- 6 Months – AI + ML + Deep Learning + Projects
Includes weekly assignments, practice datasets and project guidance.
What You Will Learn in AI
- Build AI models using ML & Deep Learning
- Analyze & prepare real-world datasets
- Apply Neural Networks for prediction
- Implement NLP & CV projects
- Deploy trained AI models
Career Options After AI Course
- AI Engineer
- Machine Learning Engineer
- Data Scientist (Junior)
- AI Research Assistant
- NLP Engineer / Computer Vision Intern
Includes resume building, GitHub portfolio setup & interview guidance.
Certification
Students receive a recognized Artificial Intelligence (AI) Course Certification from Kaish Computer Institute after successful project evaluations.
How to Apply?
Fill the registration form and our team will contact you for batch timing & admission details.
Register HereFrequently Asked Questions – Artificial Intelligence
1. Do I need a strong mathematics background?
No. Only basic school-level math is required. We teach applied ML mathematics.
2. Will I learn Deep Learning and Neural Networks?
Yes. TensorFlow, Keras, ANN and CNN are part of the syllabus.
3. Will we work on real AI datasets?
Yes. Multiple real datasets (images, text, CSV) are used for projects.
4. Do you offer job assistance?
Yes. Resume, GitHub portfolio and interview preparation are included.
5. Are online classes available?
Yes, both online and classroom modes are available.
