Learn to build Machine Learning, Deep Learning & NLP Models & Deploy them with Docker Containers (DevOps) (in Python)
InstructorUNP United Network of Professionals
The curriculum covers essential steps for model serving, including training, pickling models, and exposing them via Flask APIs.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This hand-drawn diagram illustrates the layered architecture of a Docker container, identifying the base Linux image and subsequent software stacks like Anaconda Python and Flask.
This screen capture shows a Python development environment with Flask code for an image prediction API alongside a console output displaying sample handwritten digits from the MNIST dataset.
This screenshot displays the Swagger UI interface for a deployed machine learning model, demonstrating how to send an image file via a POST request to predict a digit.
This screen capture displays a Python development environment where code processes cluster centers into DataFrames and exports results to an Excel file.
Instruction includes writing Dockerfiles with specific commands like FROM, COPY, and CMD to build production-grade applications.
The instruction provides an accessible entry point for those who have built models but never deployed them.
Learners have reported difficulties running the code due to mismatches between the course material and current Python or library versions.
This course is best suited for those who want a high-level practical overview of deployment processes and are comfortable troubleshooting version mismatches independently.
Score breakdown
The curriculum covers a variety of models and deployment steps, though some signals suggest the depth may be superficial for certain topics.
The curriculum includes specific tasks for dockerizing text clustering and deep learning applications.
Instructional signals indicate the concepts are presented in an easy-to-follow manner.
Multiple signals highlight issues with outdated libraries and version mismatches in current environments.
The curriculum aligns with the goal of deploying models for those with basic programming knowledge.