INDUSTRY IGNITE PROGRAM
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: 352 Hrs across 6 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: 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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