Artificial Intelligence
Machine Learning and Deep Learning
Course Overview
Master supervised and unsupervised learning algorithms, neural networks, PyTorch, and computer vision.
Course Prerequisites
- Basics of logical thinking
- Willing to learn something
Training Curriculum
Detailed exploration of foundations of ai, probability & linear algebra. Deep dive into theory and practical labs for this section. Learn best-practice implementations under expert guidance.
Detailed exploration of python frameworks (numpy, pandas) & supervised learning. Deep dive into theory and practical labs for this section. Learn best-practice implementations under expert guidance.
Detailed exploration of neural networks, deep learning & tensorflow/pytorch. Deep dive into theory and practical labs for this section. Learn best-practice implementations under expert guidance.
Detailed exploration of generative ai foundations, prompt engineering & api architectures. Deep dive into theory and practical labs for this section. Learn best-practice implementations under expert guidance.
Detailed exploration of capstone project: rag-based ai agent deployment. Deep dive into theory and practical labs for this section. Learn best-practice implementations under expert guidance.
Practical Projects
Gain confidence by shipping code to production in these real-world projects:
- Automated Customer Support Agent
- Predictive Real Estate Valuation Model
- Vector DB Search Engine
Frequently Asked Questions
Yes. You will receive an e-certificate that is cryptographically verifiable on this platform, and a printed certificate on request during graduation.
The classes are live sessions hosted by certified developers, providing instant doubt resolution and code reviews.
Program Quick Specs
Duration
16 Weeks
Mode of Study
Online
Certification
Industry-Recognized
Course Fee
Coming Soon
Coming Soon
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