Advanced Machine Learning & AI: Concepts and Real-World Applications
Decode the Future with Intelligence: Learn, Apply, Innovate!
About This Course
IntelliLearn is a cutting-edge international workshop crafted to introduce and deepen understanding of Machine Learning (ML) and Intelligence systems. This program is curated for learners, researchers, and professionals aiming to harness the power of data and algorithms to solve real-world challenges. Through expert-led sessions, hands-on projects, and collaborative discussions, participants will explore supervised and unsupervised learning, neural networks, deep learning architectures, natural language processing, and ethical AI deployment.
Aim
To empower participants with foundational and advanced concepts in Machine Learning and Artificial Intelligence, fostering real-world application skills and preparing them for dynamic roles in intelligent systems and data-driven industries.
Workshop Objectives
- Introduce core ML and AI principles
- Enable learners to build predictive and classification models
- Understand the ethical considerations in intelligent system design
- Familiarize participants with current trends and industry practices
- Motivate interdisciplinary research and innovation
Workshop Structure
Day 1 – Foundations of Modern Machine Learning
● Evolution of Machine Learning: Classical to Intelligent Systems
● Supervised, Unsupervised & Self-Supervised Learning Techniques
● Structuring ML Pipelines: Data Preprocessing to Model Deployment
● Hands-On: Training your first ML model using scikit-learn on real-world data
Day 2 – Deep Learning & Transfer Learning in Action
● Understanding CNNs, RNNs, Transformers – Architectures that Matter
● Leveraging Transfer Learning with Pretrained Models (ResNet, BERT)
● Best Practices for Fine-Tuning and Customization
● Hands-On: Fine-tuning a transformer model for text classification using Hugging Face
Day 3 – ML Ethics, Interpretability & Applications
● Responsible AI: Fairness, Bias Mitigation, and Compliance
● Interpreting ML Decisions: SHAP, LIME, and XAI Tools
● Industry Use Cases: Healthcare, Finance, Smart Cities
● Hands-On: Interpreting model predictions using SHAP on a sensitive dataset
Who Should Enrol?
- Students (UG/PG/PhD) from Science, Engineering, Data Science, IT, and related disciplines
- Academicians and researchers
- Industry professionals exploring ML and AI
- Startups and entrepreneurs in tech domains
Important Dates
Registration Ends
06/10/2025
IST 3:00 PM
Workshop Dates
06/10/2025 – 06/12/2025
IST 5 : 30 PM
Workshop Outcomes
- Develop a robust understanding of ML workflows
- Hands-on exposure to tools like Python, scikit-learn, TensorFlow
- Create and evaluate basic ML models
- Learn to apply AI in real-world domains
- Receive internationally recognized certification
- Build a network with peers and mentors across the globe
Fee Structure
Student
₹1999 | $50
Ph.D. Scholar / Researcher
₹2499 | $55
Academician / Faculty
₹2999 | $60
Industry Professional
₹4999 | $87
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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