INDUSTRY ELEVATE PROGRAM
468 Hrs Part-Time | 9 Months
Achieve excellence in Artificial Intelligence, Machine Learning & Data Science in 9 months — build advanced, industry-ready AI solutions.
Skill Development Grants & Subsidies (India)*
COURSE OVERVIEW
Take your tech career to the next level with advanced AI, ML & Data Science skills.
This 9-Month AI, ML & Data Science Course trains you in data pre-processing, predictive modelling, neural networks, machine learning pipelines, and deployment methods, all through hands-on practice.
Designed for students and freshers aiming for high-impact tech roles, this program focuses on practical application, problem-solving, and building a professional project portfolio.
Learn. Build strong projects. Get certified. Become job-ready.
Enrol now and step confidently into the future need of AI-driven careers in 2026.
DURATION: 468 Hrs. across 9 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 – 156202418
*For additional grant eligibility, please contact us.
REGISTERED COURSE NAME: INDUSTRY ELEVATE PROGRAM
ACHIEVEMENT: Empowered 50+ professionals to advance in AI, Machine Learning, and Data Science, mastering industry-grade projects and predictive analytics solutions.
Student Gallery
Topics Covered (TC)
Python & Data Science Foundations – Python programming, data structures, math foundations, SQL/NoSQL, and data visualization.
Exploratory Data Analysis & Storytelling – Data cleaning, preprocessing, EDA, dashboards, and insights generation.
Machine Learning Core – Regression, classification, clustering, dimensionality reduction, and ensemble learning.
Time Series & Predictive Analytics – ARIMA, Prophet, LSTM basics, and business/finance forecasting applications.
Deep Learning Specialization – ANN, CNN, RNN, LSTM, GRU, computer vision, NLP, and speech/audio AI.
Generative AI & LLM Applications – GANs, VAEs, diffusion models, text-to-image/video, GPT fine-tuning, and RL basics.
Big Data & Cloud AI – Hadoop, Spark, PySpark, cloud AI platforms (AWS, GCP, Azure), real-time pipelines, ETL, and IoT data integration.
MLOps & AI Deployment – Model deployment, CI/CD, containerization, monitoring, and responsible AI practices.
Applied AI Projects – Real-world projects like predictive maintenance, fraud detection, smart city analytics, and AI co-pilots.
Capstone Project & AI Entrepreneurship – End-to-end AI solution development, portfolio creation, research publication, and startup/industry showcase.
Program Outcomes (PO)
- Ability to analyze, design, and deploy AI, ML, and DL systems at scale.
- Competence in Big Data and Cloud AI integration.
- Skill in building Generative AI applications and fine-tuning LLMs.
- Experience in research, publishing, and entrepreneurship.
Program Educational Objectives (PEO)
- Train learners in AI/ML research and advanced problem-solving skills.
- Build production-ready AI systems using cloud and MLOps pipelines.
- Enable Generative AI and LLM innovations for future industry demand.
- Encourage entrepreneurship and research publication in AI.
Program Specific Outcomes (PSO)
Solve real-world problems in healthcare, finance, IoT, and smart cities.
Deploy Generative AI-powered applications to production.
Create a research paper or portfolio for global recognition.
Build skills for jobs, freelancing, and AI startup creation.
FAQs
The Industry Elevate AI, Machine Learning & Data Science Program is ideal for students, tech enthusiasts, and professionals who want to gain advanced knowledge in AI, ML, and data-driven solutions.
It’s perfect for:
Beginners and professionals aiming to build a career in AI, ML, or Data Science
Individuals seeking to implement AI & ML in real-world projects
Tech enthusiasts looking to upskill in data analytics, automation, and predictive modeling
No prior experience is required — only curiosity, analytical thinking, and a passion for technology.
No prior experience is necessary. The course covers everything from fundamentals to advanced AI/ML workflows, including:
Python programming for AI & Data Science
Data analysis and visualization (Pandas, NumPy, Matplotlib, Seaborn)
Machine Learning algorithms & predictive modeling
Deep Learning & Neural Networks basics
Hands-on AI/ML projects and real-world applications
Step-by-step guidance ensures even beginners can build industry-ready AI & ML 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 navigate basic software. No prior programming or AI knowledge is required.
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 comprehensive, hands-on training in AI, ML, and Data Science, including:
Advanced Python programming and data handling
Machine Learning & Deep Learning algorithms
Data visualization, analytics, and predictive modeling
AI/ML project development & real-world problem solving
Building a professional AI & ML portfolio
By the end of the program, you’ll be prepared for roles such as AI Engineer, Data Scientist, Machine Learning Specialist, or continue to pursue advanced research and professional AI/ML projects.
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