Course Details

(300) Rating

Advanced AI/ML Engineering

Move beyond Jupyter Notebooks and master the art of deploying, scaling, and maintaining production-grade AI systems. This course focuses on the engineering challenges of modern ML, from distributed training and custom architecture design to automated CI/CD pipelines and model monitoring.

Instructor profile image
Faez M
Advanced
AI/ML

Course Overview

In the era of large-scale data, a high-accuracy model is only half the battle. This advanced curriculum is designed for data scientists and software engineers ready to tackle the complexities of "AI in the real world." You will dive deep into the architecture of state-of-the-art models (Transformers, GANs) while simultaneously mastering the infrastructure required to run them. By the end of this course, you will not just be building models; you will be engineering robust, scalable AI ecosystems capable of handling millions of requests with low latency.

Learning Outcomes

  • Master the Python Data Stack: proficiently use Pandas for data manipulation, NumPy for numerical computation, and Matplotlib/Seaborn for data visualization.
  • Data Preprocessing Mastery: Handle real-world messy data by performing data cleaning, feature engineering, scaling, and handling missing values to prepare datasets for training.

Course Requirements

  • Computer: A Windows, Mac, or Linux computer.
  • Stable high-speed internet connection

Course FAQS

Why choose a "recorded" course instead of a live bootcamp?
Do I need prior programming experience to enroll?
Since the classes are pre-recorded, what happens if I get stuck on a concept or a bug?

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This Course Includes:
Duration
120
Course Level
Advanced
Lessons
3
Tags
Artificial Intelligence
Language
Malayalam
Certificate
Yes
Price
₹2499