INDUSTRY PINNACLE PROGRAM IN AI, ML, DS & DEEP LEARNING
572 Hrs Part-Time | 11 Months
Reach the pinnacle of Artificial Intelligence, Machine Learning, Deep Learning & Data Science in 11 months — become an industry-ready AI expert.
Skill Development Grants & Subsidies (India)*
COURSE OVERVIEW
Ready to work an AI & Data Science professional with advanced, in-depth training in World’s Top tech companies?
This 11-Month AI, ML, DS & Deep Learning – Industry top Course is designed for learners who want to go beyond the basics and master real-world, high-impact AI technologies.
You’ll train in Machine Learning models, Deep Learning frameworks, Data Science workflows, Neural Networks, and AI deployment, all through hands-on industry projects.
Learn. Build expert-level projects. Get certified. Become industry-ready.
Enrol now and prepare to step confidently into advanced tech roles.
Book your free demo class today and start your transformation in 2026.
DURATION: 572 Hrs. across 11 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 – 156202419
*For additional grant eligibility, please contact us.
REGISTERED COURSE NAME: INDUSTRY PINNACLE PROGRAM
ACHIEVEMENT: Guided 50+ professionals to achieve mastery in AI, Machine Learning, Deep Learning, and Data Science, delivering industry-ready projects and cutting-edge solutions.
Student Gallery
Topics Covered (TC)
Foundations & Data Mastery – Python, advanced mathematics, SQL/NoSQL, data preprocessing, visualization, and AI ethics.
Advanced Machine Learning – Regression, classification, clustering, ensemble methods, time series forecasting, AutoML, and ML pipelines.
Deep Learning & Neural Networks – ANN, CNN, RNN, LSTM, GRU, transformers, computer vision, NLP, and audio/speech AI.
Reinforcement Learning & Multi-Agent Systems – Basics of RL, game-based AI, and multi-agent implementations.
Generative AI & LLM Mastery – GANs, VAEs, diffusion models, text-to-image/video, LLM engineering, and AI co-pilots.
Big Data & Cloud AI – Hadoop, Spark, PySpark, real-time streaming, cloud AI platforms (AWS, GCP, Azure), and IoT/Edge AI integration.
MLOps & Production AI Deployment – Model deployment, containerization, CI/CD, monitoring, drift detection, and security/bias mitigation.
Domain Specialization Tracks – Advanced applications in Healthcare, Finance, Retail, Gaming/AR-VR, or Robotics/Edge AI.
Applied AI Projects – Hands-on industry-aligned projects: predictive maintenance, smart cities, AI assistants, or domain-specific solutions.
Capstone Research & Portfolio – End-to-end AI solution with deployment, research paper, startup pitch, and industry presentation.
Program Outcomes (PO)
- Master end-to-end AI, ML, and DL pipelines.
- Deploy AI solutions at scale on cloud and edge platforms.
- Gain competence in Generative AI, LLMs, and advanced analytics.
- Develop proficiency in research, innovation, and startup-ready AI products.
Program Educational Objectives (PEO)
- Equip learners with AI, ML, DL, and Generative AI research and production expertise.
- Develop production-grade, scalable AI solutions for industry and startups.
- Build domain-specific AI specialization for global employability.
- Foster entrepreneurship, innovation, and research publication in AI.
Program Specific Outcomes (PSO)
- Design AI solutions for healthcare, finance, retail, gaming, robotics, and smart cities.
- Deploy production-ready AI applications using cloud, MLOps, and edge computing.
- Conduct research and publish papers in AI, ML, and DL fields.
- Build AI startups or consulting solutions for real-world challenges.
FAQs
The Industry Pinnacle AI, ML, Deep Learning & Data Science Program is designed for aspiring AI specialists, data scientists, and tech professionals who want to gain expert-level skills in advanced AI, ML, and deep learning techniques.
It’s perfect for:
Beginners with strong curiosity and passion for AI & Data Science
Professionals seeking to advance their career in AI, ML, or Deep Learning
Individuals aiming to work on real-world, cutting-edge AI projects
No prior experience is required — only dedication, analytical thinking, and passion for technology.
No prior experience is necessary. The course covers everything from the fundamentals to advanced AI & ML workflows, including:
Python programming and data handling
Machine Learning algorithms and predictive modeling
Deep Learning & Neural Networks (CNN, RNN, LSTM)
AI-based real-world project development
Data visualization and model deployment
Mentors provide step-by-step guidance, ensuring learners gain industry-ready expertise.
Eligibility Criteria:
Passion: Interest in AI, ML, Deep Learning, and Data Science
Minimum Education: 10th Grade / SSLC or equivalent
Age: 18 years and above
Language: Basic English proficiency (spoken & written)
Basic Computer Skills:
Ability to operate a computer, manage files, and navigate 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 across AI, ML, Deep Learning, and Data Science, including:
Advanced Python programming for AI & ML
Machine Learning algorithms & predictive analytics
Deep Learning techniques (CNNs, RNNs, LSTMs)
Data visualization, analytics, and deployment of AI models
Real-world AI & ML projects to build a professional portfolio
By the end of the program, you’ll be ready for roles such as AI Engineer, Data Scientist, Machine Learning Engineer, or Deep Learning Specialist, equipped with expert-level skills for top-tier industry opportunities.
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