Python & AI Course in Coimbatore — 3 Months | Real Projects | Placement Assured
Start Coding in Python & Building AI Projects in 3 Months — TensorFlow | scikit-learn | OpenCV | Jupyter
Master Python and AI algorithms in 3 months — code intelligent solutions and build future-ready applications
Skill Development Grants & Subsidies (India)*
COURSE OVERVIEW
Build a future-proof tech career with Python and AI — the most in-demand skills of 2026. Our 3-month industry programme covers Python fundamentals, Machine Learning, Neural Networks, and AI Algorithms through hands-on projects with real datasets. Graduate with a portfolio that gets you hired.
This 3-month AI & Python Course gives you hands-on training in Python programming, AI logic building, and mini deep-learning workflows.
Designed for students and freshers, the training focuses on real coding practice, industry-relevant applications, and project-based learning to build your job portfolio.
Learn. Code. Build Projects. Get Job-Ready.
You’ll work on real projects that help you showcase your skills to employers.
Enrol now and begin your journey into AI & Data careers.
DURATION: 164 Hrs. across 3 Months | Part-Time
MODE: Online | Offline
STUDENT-TO-LECTURER RATIO: 5 Students : 1 Lecturer
HARDWARE REQUIREMENTS: Windows | Mac Laptop
MEDIUM OF INSTRUCTION AND ASSESSMENT: Lectures, Practical (Hands-on Application) and Project-based Assessment
ENTRY REQUIREMENTS: 18 years & above │ Minimum 10th grade or Diploma │ Basic computer skills │ No prior coding experience needed
COURSE START DATE: customizable
For more detailed information visit FAQs section below.
75% attendance is mandatory to complete the program
CLASS TIMING: 9:30 AM – 6:30 PM (Choose any 2-hour slot)
COURSE CODE: GPCSL – 156202416
*For additional grant eligibility, please contact us.
REGISTERED COURSE NAME: INDUSTRY PYTHON PROGRAMMING & AI ALGORITHMS
ACHIEVEMENT: Trained 50+ students trained since 2024 – growing every batch
CAREER OUTCOMES: Career paths for our Python & AI graduates: Python Developer — ₹4 to 8 LPA ML Engineer — ₹6 to 12 LPA AI Application Developer — ₹7 to 14 LPA Data Analyst — ₹3.5 to 7 LPA 50+ students placed since 2024.
Student Gallery
Topics Covered (TC)
- Python Fundamentals – Variables, data types, loops, conditionals, functions, and file handling.
- Advanced Python Concepts – Data structures, OOP, exception handling, and debugging techniques.
- Python Libraries for Data Science – NumPy, Pandas, Matplotlib, Seaborn, and SciPy for analysis and visualization.
- Data Preprocessing & Feature Engineering – Cleaning, scaling, encoding, and preparing data for AI projects.
- AI Algorithm Foundations – Search, optimization, and basic ML algorithms (regression, decision trees, clustering).
- Machine Learning with Python – Implement supervised and unsupervised learning pipelines using Scikit-learn.
Mini Deep Learning Concepts – Introduction to neural networks and small ML pipelines in Python.
AI Project Implementation – Hands-on projects like predictive analytics, recommendation systems, or simple chatbots.
Integration with AI Tools & APIs – Using OpenAI API and other AI models for text, image, and automation tasks.
Capstone Project & Portfolio – End-to-end AI project with documentation, deployment, and GitHub showcase.
Program Outcomes (PO)
- Proficiency in Python for AI and data analysis.
- Ability to apply AI algorithms for problem-solving.
- Hands-on experience with real-world AI and ML projects.
- Portfolio-ready projects for internships or job applications.
Program Educational Objectives (PEO)
- Build strong Python programming foundations applicable to AI and ML.
- Enable learners to implement AI algorithms from scratch and using Python libraries.
- Train learners to analyze real-world data and develop AI solutions.
Program Specific Outcomes (PSO)
- Apply Python programming to solve algorithmic and AI problems.
- Implement core ML and AI algorithms using Python.
- Build end-to-end projects demonstrating practical AI knowledge.
- Integrate AI APIs to enhance project capabilities.
FAQs
The Industry Ready Program in Python Programming & AI Algorithms is designed for students, beginners, and tech enthusiasts who want to build a strong foundation in Python coding, AI logic, and real-world data problem solving.
It’s perfect for:
Beginners interested in programming or AI
Students looking to start a tech career
Professionals seeking to upskill in automation or data science
No prior coding experience is required — only curiosity, logic, and a passion for technology.
Not at all! This course starts from the very basics of Python and gradually advances to AI-driven workflows. You’ll learn everything step-by-step, including:
Python fundamentals (syntax, loops, functions, data types)
Libraries like NumPy, Pandas, and Matplotlib
Basics of Machine Learning & AI algorithms
Real-time coding projects and automation tasks
Mentors will guide you throughout — ideal for beginners with no prior technical background
Eligibility Criteria:
Passion: Interest in coding, problem-solving, or AI technology
Minimum Education: 10th Grade / SSLC or equivalent
Age: 18 years and above
Language: Basic English (spoken & written)
Basic Computer Knowledge:
Understanding file management, browsing, and installing simple software is helpful — no prior programming experience is necessary.
Admission Process:
- Fill out the Application Form online or at Skilzlearn Academy, Coimbatore.
- Attend a counselling/orientation session to understand course modules and career outcomes.
- Submit your documents and pay the registration fee to confirm your admission.
Payment Options:
Full Payment (eligible for early bird discounts)
Monthly Installments – flexible and interest-free
EMI Options through partnered institutions
The Admissions Team will help you choose the best payment plan.
This course is designed to make you industry-ready in Python and AI, covering:
Core Python Programming (Syntax, Functions, OOPs)
Data Handling using Pandas & NumPy
Introduction to Machine Learning Concepts
AI Algorithms & Automation Logic
Real-World Projects (Chatbots, Data Analysis, Mini AI Models)
By the end of the program, you’ll be equipped to pursue roles as a Python Developer, Data Analyst, AI Assistant Engineer, or move forward into advanced AI and Data Science programs.
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