Intermediate

Model Deployment

Model Deployment: From Notebook to Production

This hands-on course guides you through deploying machine learning models into real-world applications. You’ll learn to take models built in Jupyter Notebooks and push them to scalable environments using tools like Flask, FastAPI, Streamlit, Docker, Hugging Face, and cloud platforms. Ideal for learners who want to bridge the gap between model training and production deployment.

💻 Developer-friendly | 🛠️ Project-based learning | 🚀 Real-world deployment strategies

4 weeks content

4 weeks content

What You'll Learn

The fundamentals and real-world relevance of model deployment in AI/ML
How to serialize and save machine learning models for production use
Designing and developing APIs using Flask or FastAPI to serve models
Creating endpoints and managing input/output flows for deployed models
Best practices for handling dependencies and version control
Techniques to securely host and expose machine learning models
Understanding the end-to-end architecture of model deployment pipelines
Importance of containerization in modern deployment practices
Building Dockerfiles and container images to package ML applications
Exploring virtualization, Docker, and containerization platforms
Deploying RESTful APIs in containerized environments
Using tools like Streamlit or Gradio for interactive UI-based deployment
Introduction to cloud and server-less deployment options (e.g., Hugging Face, AWS)

Course Curriculum

Module 1: Introduction to Model Deployment

Why model deployment matters
Types of deployment: batch vs real-time
Overview of deployment architecture

Module 2: Building a REST API with Flask & FastAPI

Module 3: Interactive Model Apps with Streamlit & Gradio

Module 4: Containerizing with Docker

Module 5: Cloud Deployment Essentials

Module 6: Final Project & Certification

Materials Included

Live and recorded instructor-led sessions
Project templates with Flask, FastAPI, and Streamlit
Docker files for containerized deployment
Code examples with Hugging Face and Gradio
Deployment walkthroughs on Hugging Face Spaces and AWS/GCP (optional)
End-to-end mini-projects (model to API/GUI)
GitHub repository access
Procelevate Academy Certificate of Completion

Requirements

Basic knowledge of Python and machine learning
Familiarity with model building using libraries like scikit-learn, TensorFlow, or PyTorch
Experience with Jupyter Notebook
Internet-connected laptop or desktop
(Optional but helpful) Basic command line and Git knowledge

Who This Course Is For

AI/ML learners ready to move beyond notebooks
Data scientists looking to deploy real-time or batch inference systems
Software engineers integrating ML into applications
Students working on capstone projects or internships
Professionals aiming to build product-ready AI solutions

Your Instructor

Mahesh B. Govindaraj

Founder & CEO, Procelevate Consulting

With over ~20 years of experience in global business services, process excellence, and intelligent automation, Mahesh B. Govindaraj brings deep expertise in driving enterprise transformation. As the Founder of Procelevate Consulting, he partners with companies across industries to elevate their operational performance through AI/ML, Lean Six Sigma, and automation-led solutions.

Connect on LinkedIn

Certificate of Completion

Success Stories from Our Learners

Real people, real results, real career transformations

“Mahesh Sir helped us build a strong foundation in Python, AI, and Agentic AI with clear and structured explanations. He taught every concept at a comfortable pace, making it easy for everyone in the batch to follow. He was always approachable, patient, and willing to clarify our doubts. His sessions focused on applying AI concepts to real-world scenarios rather than just theory. He encouraged us to share our own ideas and guided us in building working prototypes on our systems. This hands-on approach made the learning experience practical, engaging, and highly valuable. Overall, the course was well worth the time and money, and I gained knowledge that I can confidently apply in real projects. I have managed to apply the learning & it helped me to automate 2 of the processes in my current team to bring the efficiency.”

“Procelevate Academy is a highly professional institution that combines excellence with flexibility, ensuring quality education tailored to diverse student needs. The institution offers both online and in‑class learning options, providing learners with the flexibility to choose the mode that best suits their needs. Smaller class batches allow the trainer to provide individualised attention, ensuring that each student receives personalised guidance and support.”

“It was my first live training session since graduation, and a truly valuable one. The concepts were explained with great clarity, supported by practical examples that made complex ideas easy to grasp. I would encourage anyone willing to take this Program up”

My experience with Procelevate Academy’s AI course has been fantastic. The structured curriculum and practical approach helped me elevate my skills to an intermediate level smoothly. The hands-on projects made complex concepts like predictive modeling feel manageable and actionable. Highly recommended for anyone looking to build real-world AI skills.

₹ 10,000

Exc. GST

₹ 20,000/-

50% Independence Day Discount

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Earn a verified certificate upon successful completion of all modules and assessments.

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Model Deployment

What You'll Learn

Course Curriculum

Materials Included

Requirements

Who This Course Is For