INDUSTRY IGNITE PROGRAM IN AI & DATA SCIENCE
352 Hrs Part-Time | 6 Months
Achieve excellence in Artificial Intelligence and Data Science in 6 months — analyze, predict, and innovate with cutting-edge AI solutions
Skill Development Grants & Subsidies (India)*
COURSE OVERVIEW
Dreaming of a career in AI or Data Science but don’t know where to start?
Our 6-month Industry Ignite Program builds a strong foundation in Artificial Intelligence, Data Analysis, Machine Learning, and Python programming through hands-on practice and real project work.
New to coding? No problem. This Ai & Data science Course Designed especially for students and beginners, this course helps you understand key concepts clearly and apply them confidently.
Learn. Practice. Build. Gain certification + real project experience. Get Job-Ready.
Enrol now and begin your journey into the world of AI and Data Science in this 2025.
DURATION:Â 352 Hrs across 6 Months | Part-TimeÂ
MODE:Â Online | Offline
STUDENT-TO-LECTURER RATIO: 5Â Students : 1 Lecturer
HARDWARE REQUIREMENTS: Windows | Mac Laptop
MEDIUM OF INSTRUCTION AND ASSESSMENT:Â Lectures, Practical (Hands-on Application) and Project-based Assessment
ENTRY REQUIREMENTS: 18yrs & Above, Min Education level – N Level, & Passion for Concept Art
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 – 156202417
*For additional grant eligibility, please contact us.
REGISTERED COURSE NAME: INDUSTRY IGNITE PROGRAM
ACHIEVEMENT: Trained 50+ learners to master AI and Data Science, gaining industry-ready skills in machine learning, analytics, and AI-driven solutions.
Student Gallery
Topics Covered (TC)
Data Science Foundations – Python for AI & Data Science, data cleaning, preprocessing, EDA, and databases.
Exploratory Data Analysis (EDA) – Visualizations, feature engineering, and insights with Power BI / Tableau.
Supervised & Unsupervised Learning – Regression, SVM, decision trees, clustering, PCA, and model evaluation.
Ensemble Methods & Optimization – XGBoost, LightGBM, CatBoost, cross-validation, and hyperparameter tuning.
Deep Learning & Neural Networks – ANN basics, CNNs for computer vision, NLP with transformers, transfer learning.
Generative AI & Advanced Techniques – GANs, VAEs, text-to-image & text-to-text AI, reinforcement learning, AI ethics.
Big Data & Cloud AI – Hadoop, Spark, PySpark, cloud AI platforms (AWS, Google Vertex AI, Azure ML).
Model Deployment & MLOps – Flask/FastAPI, Docker, CI/CD pipelines, monitoring, and automation of AI models.
Applied AI Projects – Real-world applications like chatbots, image recognition, predictive analytics, and IoT dashboards.
Capstone Project & Portfolio – End-to-end AI solution deployment with GitHub portfolio, live dashboard, and industry presentation.
Program Outcomes (PO)
- Master AI and Data Science workflows from raw data to deployed models.
- Gain the ability to use cloud platforms and big data frameworks effectively.
- Develop competence in Generative AI and advanced ML models.
- Create portfolio-ready AI projects to secure top-tier roles.
Program Educational Objectives (PEO)
- Build strong foundations in AI, ML, Deep Learning, Big Data, and Cloud AI.
- Train learners to design, implement, and deploy AI-powered applications.
- Foster AI innovation and entrepreneurship with Generative AI and automation skills.
- Develop job-ready professionals prepared for AI/ML industry roles worldwide.
Program Specific Outcomes (PSO)
- Build advanced AI, ML, and DL models with real-world applications.
- Apply Generative AI and LLMs in industry use cases such as content, chatbots, and automation.
- Deploy AI systems on cloud and production environments.
- Develop a professional-grade portfolio aligned with global job requirements.
FAQs
The Industry Artificial Intelligence & Data Science Program is ideal for students, tech enthusiasts, and professionals who want to master AI, machine learning, and data-driven decision-making.
It’s perfect for:
Beginners seeking a career in AI or Data Science
Professionals aiming to upskill in analytics, AI, or machine learning
Individuals interested in data-driven problem-solving and automation
No prior AI or programming experience is required — only curiosity, logic, and a passion for technology.
No prior experience is necessary. This course provides step-by-step guidance, covering both fundamentals and advanced topics:
Python Programming for AI & Data Science
Data Analysis using Pandas & NumPy
Machine Learning & AI Algorithms
Data Visualization with Matplotlib & Seaborn
Real-world projects and AI-based applications
Trainers ensure that even beginners can confidently build AI and data science skills.
Eligibility Criteria:
Passion: Interest in AI, machine learning, or data analytics
Minimum Education: 10th Grade / SSLC or equivalent
Age: 18 years and above
Language: Basic English (spoken & written)
Basic Computer Skills:
Ability to use a computer, manage files, and operate basic software. No prior programming or analytics experience is needed.
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 program provides hands-on experience across the AI & Data Science pipeline, including:
Python programming for data manipulation and AI
Data analysis and visualization
Machine Learning algorithms and model building
AI project development and implementation
Creating a portfolio of real-world AI and Data Science projects
By the end of the program, you’ll be ready to pursue roles as a Data Analyst, AI Engineer, Machine Learning Specialist, or continue into advanced AI & Data Science programs
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