Empowering Privacy, Enhancing Collaboration: AI for Decentralized and Secure Learning
This course, “AI for Federated Learning: Decentralized Data and Privacy-Preserving Models,” provides an in-depth exploration of Federated Learning, focusing on decentralizing machine learning to ensure data privacy. Participants will learn key privacy-preserving techniques, gain hands-on experience building secure AI models, and understand the challenges and future applications in fields like healthcare and finance. By the end, you’ll be equipped to implement privacy-first AI solutions
Provide hands-on experience with building and implementing Federated Learning models using real-world datasets.
Learn Federated Learning and privacy-preserving techniques.
Gain hands-on experience building decentralized AI models.
Understand security challenges in machine learning systems.
Apply Federated Learning in real-world privacy-sensitive applications.
📅 Day 1 – Federated Learning Basics
📅 Day 2 – Privacy & Security
📅 Day 3 – Build, Use Cases & Future
AI/ML practitioners and data scientists
Machine learning engineers
Researchers focused on privacy and decentralized systems
Software developers interested in implementing federated learning models
Industry professionals in healthcare, finance, IoT, and other privacy-sensitive sectors
Students with a basic understanding of machine learning and programming (preferably Python)
Proficiency in implementing Federated Learning models
Strong understanding of privacy-preserving AI techniques
Ability to apply secure, decentralized machine learning in real-world applications
Skills to address privacy and security challenges in AI systems
Knowledge of emerging trends in Federated Learning and data privacy
Preparedness for careers in AI, data privacy, and machine learning security
₹2,499
$50
The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.
365 days from your registration, on your NanoSchool dashboard.
Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
Live, mentor-led and certified. Dates and times in IST.
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