Full Stack AI ML Development Courses

Hunar Academy
Last Update January 19, 2024
0 already enrolled

About This Course

This document provides the curriculum outline of the Knowledge, Skills and Abilities that a Machine Learning Developer and DevOps/MLOps Administrator can be expected to demonstrate.


  • Python Programming Fundamentals.
  • Familiarity with Command Line Interface (CLI) and Git/GitHub, DVC
  • Fundamental Knowledge of Django, Database, HTML/CSS.
  • Familiarity with at least machine learning data preprocessing, YAML, JSON.


Local setup (Physical Mode) Remote Lab Setup (Optional)
Laptop/Desktop with high-speed OS: Windows 10 and Above
internet connection, Windows 10 and
Memory: 4 GB RAM Memory: 32 GB RAM
CPU: 1 CPU Cores CPU: 8 CPU Cores
Storage: 20 GB Storage: 500 GB SSD

Learning Objectives

ML/MLOps Architecture Vs DevOps Framework.
Install/Configure Cookie Cutter Template and DVC (Data Tracking).
Build a Custom Environment for ML/MLOps model design and retraining.
Manage DevOps/MLOps Lifecycle, Storage, and CI/CD Pipeline.
Installing and Configuring Jenkins and Nagios.
Installing and Configuring MLFlow, PyTest, and Pep8.
Deploying and scaling the model Django & Haruko Platform.
Data Storage using PostgreSQL.
Auditing and Troubleshooting Machine Learning Model.
DevOps/MLOPs best Security Practices.
Complete the Life Cycle of AI/ML Software development using various technologies.
ML Model in Amazon SageMaker.
Auto Implement on DataRobot.

Material Includes

  • Live Lecture
  • Recorded Lecture for Revision
  • Certificate after completion


59 Lessons120h

Part 1 – Introduction to MLOps

What is MLOps?
Why we need MLOps and business impact?
Machine learning industrialization challenges
How does it relate to DevOps, AIOps, ModelOps, and GitOps?

Introduction to ML and MLOps stages:

Introduction to Git/Github:

Introduction to CI/CD Using Jenkins:

Cloud Native CI/CD Tools 101:

Kubernetes/Docker Overview

Part 2- Introduction to Model Management

Cloud ML Services

Introduction to Django, PostgreSQL and Model Deployment using Heruko

Introduction to Model Monitoring

Introduction to AutoML tools

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Hunar Academy

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Duration 120 hours
59 lectures

Material Includes

  • Live Lecture
  • Recorded Lecture for Revision
  • Certificate after completion
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