Artificial Intelligence

Machine Learning and Deep Learning

Machine Learning and Deep Learning

Course Overview

Master supervised and unsupervised learning algorithms, neural networks, PyTorch, and computer vision.

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 ₹35,000.00

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