Course

Python for AI & Production Systems: From Fundamentals to Deployment

Course offered byDallol 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

Python for AI & Production Systems: From Fundamentals to Deployment
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Lessons & content

Week 1: Introduction & Course Overview
Lesson plays on this site only.

Click chapters from the sidebar to open lessons quickly.

Chapter quizzes are under each lesson. For the course final exam use the Exam · Certificate

What's included
  • Course certificate when you complete requirements
  • Tutor and admin messaging
  • Lesson archive and progress tracking

Chapters

17 lessons

  • Week 1 - Python Fundamentals
  • Week 1: Introduction & Course Overview
    document · Preview
  • Python Installation & Environment Setup
    video
  • Python Basics
    video · Preview
  • Control Flow: Conditionals & Loop
    video
  • Functions & Modules
    video
  • Week 1 Lab: Number Guessing Game
    video
  • Week 2 - Data Handling & SQL
  • Data Structures: Lists, Tuples, Dictionaries, Sets
    document
  • File I/O: Reading & Writing CSV, JSON
    video
  • Object-Oriented Programming (OOP) Basics
    video
  • Connecting Python to PostgreSQL
    document
  • Week 3 - Data Science Toolkit
  • NumPy: Arrays & Mathematical Operations
    video
  • Pandas: DataFrames & Data Manipulation
    video · Preview
  • Data Cleaning & Transformation with Pandas,
    video
  • Data Visualization with Matplotlib/Seaborn,Exploratory Data Analysis (EDA) Walkthrough
    video · Preview
  • Week 4 - APIs & Backend Development
  • Learn FastAPI
    document
  • Building REST APIs with FastAPI
    document
  • WEEK 5: AI & DEEP LEARNING
  • PyTorch for Deep Learning full
    document

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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