Course Overview
This course equips beginners and intermediate developers with comprehensive Python fullstack development skills, covering basic programming, database operations, and AI modules. Available in both online and offline modes to suit diverse learning needs.
Learning Modes
Online Mode: Delivered via video tutorials, live webinars, online coding platforms, and interactive forums. Offers 24/7 access to materials, ideal for flexible schedules.
Offline Mode: In-person classes at designated training centers with expert instructors, hands-on projects, and group discussions, suited for structured learning.
Course Modules
1. Basic Python Programming
Objective: Master core Python programming concepts to write efficient, structured code.
時長：8 小時
Content:
Python syntax: variables, data types, operators
Control structures: conditionals, loops
Functions and modules: defining functions, parameter passing, module imports
Data structures: lists, dictionaries, sets, tuples
File handling: reading/writing text and CSV files
Exception handling: try-except blocks, error management
Object-Oriented Programming (OOP): classes, objects, inheritance, polymorphism
Practical project: Build a command-line application (e.g., task manager)
Outcomes:
Write clean, modular Python code
Master debugging and error handling
Complete a functional Python project (Discord bot)
2. Basic Database (with Pandas, NumPy, and JSON)
Objective: Learn database operations and data analysis with Pandas, NumPy, and JSON handling.
長度：8 小時
Content:
Database basics:
Introduction to relational databases (SQL basics)
Using SQLite and MySQL for data operations
CRUD operations (Create, Read, Update, Delete)
Pandas basics:
DataFrames and Series
Data cleaning, transformation, and merging
Data visualization with Matplotlib and Seaborn
NumPy basics:
Array operations and multidimensional arrays
Mathematical operations and statistical analysis
Data slicing and indexing
JSON applications:
JSON data structure and serialization
Parsing and generating JSON in Python
Interacting with APIs for JSON data
Practical project: Build a data analysis tool (e.g., sales data dashboard)
Outcomes:
Perform complex database queries
Conduct efficient data analysis with Pandas and NumPy
Handle JSON data and API integration
Complete a data analysis project
3. AI Modules with Python
Objective: Develop AI applications using Python, mastering machine learning and deep learning basics.
長度： 8 小時
Content:
AI overview: Machine learning, deep learning, neural networks
Machine learning basics:
Classification, regression, and clustering with Scikit-learn
Data preprocessing and feature engineering
Model evaluation and optimization (cross-validation, hyperparameter tuning)
Deep learning basics:
Building neural networks with TensorFlow and PyTorch
Convolutional Neural Networks (CNNs) for image processing
Recurrent Neural Networks (RNNs) for sequence data
Natural Language Processing (NLP):
Text processing with NLTK and SpaCy
Word embeddings and sentiment analysis
Practical project: Develop an AI application (e.g., image classifier or chatbot)
Outcomes:
Understand core AI and machine learning concepts
Build simple AI models using Python frameworks
Complete an AI project (e.g., image recognition or text analysis)
Course Features
Hands-On Focus: Each module includes real-world projects simulating fullstack scenarios.
Flexible Learning: Online mode offers recorded lessons and live Q&A; offline mode provides one-on-one mentorship.
Certification: Earn a Python Fullstack Development certificate upon completion.
Support: Access to code debugging, learning communities, and career guidance.
