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One-Day Workshop on Artificial Intelligence & Machine Learning
Through interactive sessions, live demonstrations, and practical coding exercises, attendees will learn about key AI and ML concepts, data processing, model building, and ethical considerations. This workshop is ideal for professionals, students, and tech enthusiasts who want to explore the potential of AI and ML.
- Hands on
- Participation Certification
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Course Overview
General Description:
This one-day workshop on Artificial Intelligence (AI) and Machine Learning (ML) is designed to provide a comprehensive introduction to these transformative technologies.
Special Benefits : Participation Certificate from FutureTech – Attendees who successfully complete the entire session and submit feedback will receive an official participation certificate..
Course Objectives
Objectives of the 1-Day AI/ML Training The primary objective of this training is to provide participants with a comprehensive understanding of Artificial Intelligence (AI) and Machine Learning (ML) while equipping them with practical skills to apply AI/ML concepts in real-world scenarios.
- Trainer Profile :
A highly experienced AI/ML trainer with 10+ years of expertise in delivering advanced training programs on Data Science, Machine Learning, Artificial Intelligence, and Deep Learning. Passionate about empowering professionals with cutting-edge AI/ML knowledge through hands-on, application-driven learning. - Proven track record in designing customized training programs for corporates, universities, and professionals, ensuring practical implementation of AI/ML/DL concepts in real-world scenarios.
- Expert Trainer | Data Science | Machine Learning | Artificial Intelligence | Deep Learning
📍 Experience: 10+ Years | 🎯 Specialization: AI, ML, Deep Learning, Data Science
Target Audience / Prerequisites
To ensure participants are well-prepared and can fully benefit from the course, the following prerequisites are recommended:
- IT & Software Professionals autonomous AI agents
- Data scientists & ML engineers interested in building AI-powered automation
- Product managers seeking AI-driven innovation in their products.
- Data analysts, data scientists, and statisticians who analyze and interpret large datasets.
- University students in computer science, engineering, and mathematics.
- Software Developers
Certification
Sample Certificate
- After successfully completing the training programme, as well as the real-time hands-on and projects, you will be awarded a Futuretech course completion certificate.
Course Duration & Course Schedule Date
- Duration: 8 Hours
- 19th March 2025
Countdown
Course Outline
Introduction
- Overview of workshop objectives- Importance of Machine Learning and Deep Learning in modern applications
Session 1: Understanding the Fundamentals of Machine Learning
- Introduction to Machine Learning
- Definition and key concepts
- Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
- Data Preprocessing Techniques
- Importance of clean data and feature scaling
- Handling categorical and numerical data
Session 2: Practical Machine Learning
- Building Your First Machine Learning Model
- Hands-on exercise: Creating a simple regression model
- Evaluating Model Performance
- Understanding metrics: Accuracy, Precision, Recall
Session 3: Introduction to Deep Learning
- Fundamentals of Deep Learning
- Overview of Neural Networks
- Introduction to Activation Functions and Cost Functions
- Key Deep Learning Architectures
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
Session 4: Hands-On Deep Learning
- Implementing a Deep Learning Model
- Practical exercise: Image classification using CNNs
- Model Training and Hyperparameter Tuning
- Understanding the process of training deep learning models
Session 5: Real-World Applications and Ethical Considerations
- Application of Machine Learning and Deep Learning in Industry
- Case studies: Healthcare, Finance, and Automated Systems
- Ethical Issues in AI
- Discussion on bias, fairness, and transparency in AI systems
Conclusion and Q&A
- Recap of key points
- Open floor for questions and discussions
End of Workshop
- Closing remarks and feedback session
- Networking opportunity for participants
Review
Job Opportunities
FAQ
AI refers to the simulation of human intelligence in machines that can perform tasks like reasoning, learning, problem-solving, and decision-making.
Machine Learning is a subset of AI that enables machines to learn from data and improve performance over time without being explicitly programmed.
- Supervised Learning – The model is trained on labeled data (e.g., spam detection).
- Unsupervised Learning – The model finds patterns in unlabeled data (e.g., customer segmentation).
- Reinforcement Learning – The model learns by interacting with an environment and receiving rewards/punishments (e.g., robotics, gaming AI).
- AI is the broad concept of machines mimicking human intelligence.
- ML is a subset of AI that uses algorithms to learn from data.
- Deep Learning is a subset of ML that uses neural networks to process large amounts of data.
- Automation follows pre-defined rules to perform tasks.
- AI learns, adapts, and makes decisions based on data.
One-Day Workshop on Artificial Intelligence & Machine Learning
19th March 2025 | 10:00 AM to 6:00 PM | online mode
Special Offer for limited seats only… Hurry Up!!!
