Python for AI & Production Systems: From Fundamentals to Deployment
Course offered by — Dallol Tech PLC
Build end-to-end AI solutions with Python, SQL, FastAPI, and deep learning. This hands-on course covers everything from Python fundamentals to deploying AI models as production-ready APIs. Perfect for students seeking broad opportunities in AI engineering and data science.
Free
Lessons & content
Click chapters from the sidebar to open lessons quickly.
Chapter quizzes are under each lesson. For the course final exam use the Exam · Certificate
- Course certificate when you complete requirements
- Tutor and admin messaging
- Lesson archive and progress tracking
Chapters
17 lessons
- Week 1 - Python Fundamentals
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Week 1: Introduction & Course Overviewdocument · Preview
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Python Installation & Environment Setupvideo
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Python Basicsvideo · Preview
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Control Flow: Conditionals & Loopvideo
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Functions & Modulesvideo
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Week 1 Lab: Number Guessing Gamevideo
- Week 2 - Data Handling & SQL
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Data Structures: Lists, Tuples, Dictionaries, Setsdocument
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File I/O: Reading & Writing CSV, JSONvideo
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Object-Oriented Programming (OOP) Basicsvideo
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Connecting Python to PostgreSQLdocument
- Week 3 - Data Science Toolkit
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NumPy: Arrays & Mathematical Operationsvideo
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Pandas: DataFrames & Data Manipulationvideo · Preview
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Data Cleaning & Transformation with Pandas,video
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Data Visualization with Matplotlib/Seaborn,Exploratory Data Analysis (EDA) Walkthroughvideo · Preview
- Week 4 - APIs & Backend Development
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Learn FastAPIdocument
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Building REST APIs with FastAPIdocument
- WEEK 5: AI & DEEP LEARNING
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PyTorch for Deep Learning fulldocument
Description
Full course description and extra materials from the publisher.
Build end-to-end AI solutions with Python, SQL, FastAPI, and deep learning. This hands-on course covers everything from Python fundamentals to deploying AI models as production-ready APIs. Perfect for students seeking broad opportunities in AI engineering and data science.
COURSE OVERVIEW
This comprehensive 6-week program is designed for technology students who want to master the most in-demand skills in the AI industry. You will learn to build complete, production-ready AI systems that can be deployed in the real world.
WHAT YOU WILL LEARN
• Python Fundamentals – Variables, control flow, functions, OOP, and modules
• Data Science & SQL – NumPy, Pandas, data visualization, and SQL database management
• API Development with FastAPI – Build robust REST APIs to serve your AI models
• Deep Learning with PyTorch/TensorFlow – Neural networks, model training, and evaluation
• End-to-End Capstone Project – Build an AI-powered system that integrates everything
COURSE STRUCTURE
Week 1: Python Fundamentals & Environment Setup
- Python syntax, data types, operators
- Conditional statements and loops
- Functions and modules
- Git/GitHub, VS Code, Jupyter Notebook
Week 2: Data Handling & SQL
- Data structures (Lists, Tuples, Dictionaries, Sets)
- File I/O (CSV, JSON)
- Object-Oriented Programming (OOP)
- SQL queries, joins, and SQLAlchemy
Week 3: Data Science Toolkit
- NumPy for numerical computing
- Pandas for data manipulation
- Data visualization with Matplotlib/Seaborn
- Exploratory Data Analysis (EDA)
Week 4: APIs & Backend Development
- Building REST APIs with FastAPI
- HTTP requests and authentication
- Pydantic for data validation
- Serving model predictions via API
Week 5: AI & Deep Learning Fundamentals
- Machine Learning concepts
- Neural Networks with PyTorch/TensorFlow
- Training, evaluation, and optimization
- Transfer learning and pre-trained models
Week 6: Capstone Project
- Build an AI-powered Customer Support Agent
- Integrate SQL database, LLM, and FastAPI
- Project presentation and documentation
=== PREREQUISITES ===
• Basic understanding of programming concepts
• A computer with internet access
• Curiosity and willingness to learn!
=== LEARNING RESOURCES ===
📹 Video tutorials for each module
📄 PDF lecture notes and lab manuals
📝 Quizzes after each week
🏗️ Hands-on projects and capstone
📜 Certificate upon completion
=== COURSE OUTCOME ===
By the end of this course, you will have built a deployable AI system and gained the skills to work as a Python developer, data engineer, or AI engineer in the industry.
=== COURSE DETAILS ===
Duration: 6 Weeks (approx. 5-10 hours per week)
Level: Intermediate
Certificate: Yes
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