APP: Advanced Python Programming

Name: APP: Advanced Python Programming
Brand: Python
Price: 4000 MYR
Availability: InStock

RM 4,000.00

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The Advanced Python Programming training course is essential for experienced Python developers looking to elevate their skills and apply advanced techniques in real-world scenarios. Here’s why this course is crucial:

Mastery of Advanced Features: This course dives deep into Python's advanced features, including the latest updates in Python 3.10. Participants will learn about pattern matching, advanced decorators, metaclasses, and more, ensuring they are up-to-date with current programming standards and capabilities.
Comprehensive Skill Enhancement: Covering a broad spectrum of topics such as complex algorithms, data structures, concurrency, parallelism, and advanced web development, this course ensures participants develop a well-rounded expertise in Python. This comprehensive knowledge is critical for tackling complex programming challenges effectively.
Real-World Application: The course is designed and taught by industry experts with extensive practical experience. Through hands-on projects and real-world case studies, participants learn how to apply advanced Python concepts in practical scenarios, making them more proficient and versatile developers.

Training Duration: 5 Days

Certificate Of Completion Available
Group Private Class
VILT Class Available
SBL-Khas Claimable

Download Course Outline

This course offers an in-depth exploration of advanced Python programming, delving into the latest features, best practices, and real-world applications. Aimed at experienced Python programmers, it covers a broad spectrum of topics from advanced language constructs to application development and security considerations.

The course is meticulously crafted to bridge the gap between intermediate knowledge and advanced expertise in Python. It stands out for being led by a team of industry experts who bring a wealth of practical experience and innovative insights to the classroom. Our trainers are not just educators; they are seasoned professionals with over 30 years of hands-on development experience and multiple industry innovations to their credit. They bring real-world problems to the classroom, offering insights that go beyond textbook learning.

This course is an amalgamation of their practical wisdom and the latest advancements in Python, ensuring that you learn from the best and apply your knowledge in real-world scenarios.

The course concludes with project presentations, where participants demonstrate their mastery of advanced Python concepts in real-world applications. This also includes a feedback session for future improvements and advanced learning pathways.
Upon completion, participants will be able to:

Utilize advanced Python features, including those introduced in Python 3.10.

Implement complex algorithms and data structures effectively.

Develop robust, efficient, and secure web and desktop applications.

Apply best practices in code optimization and error handling.

Understand and implement various design patterns.
Solid understanding of Python programming

data types,

control structures,

functions

Experience with Python OOP (classes and objects).

Basic knowledge of web development (HTML, CSS) for web-related modules.

Familiarity with a version control system, preferably Git.
Module 1: Advanced Language Features

Python 3.10 Features: Pattern Matching (match-case), Structural Pattern

Matching.

Decorators: Advanced uses, creating custom decorators.

Metaclasses and Metaprogramming.

Generators and Coroutines: Deep dive and use cases.

Type Hints and Annotations: Advanced usage and best practices.

Module 2: Data Structures and Algorithms

Advanced Data Structures: Trees, Graphs, Heaps.

Algorithm Optimization Techniques.

In-depth Recursion and Memoization Strategies.

Implementing and Understanding Complex Algorithms.

Module 3: Functional Programming

Functional Programming Constructs in Python.

Lambdas, Map, Reduce, and Filter.

Immutability and Side-effect Management.

Module 4: Concurrency and Parallelism

Threading vs Multiprocessing.

Asyncio and Asynchronous Programming.

Advanced Event Loops and Coroutine Patterns.

Module 5: Web Development with Python

Flask and Django: Advanced Features and Best Practices.

RESTful API Development and Documentation.

Authentication and Authorization in Web Applications.

Async Web Frameworks (e.g., FastAPI).

Module 6: Desktop Application Development

PyQt/PySide/tKinter for GUI Development.

Packaging and Distributing Python Applications.

Cross-platform Considerations.

Module 7: Database Interaction

Advanced SQL and ORM Techniques (SQLAlchemy).

NoSQL Databases and Python: MongoDB, Redis.

Database Optimization and Caching Strategies.

Module 8: Testing and Debugging

Unit Testing, Integration Testing, and Test-Driven Development.

Advanced Debugging Techniques.

Profiling and Performance Tuning.

Module 9: Security in Python

Understanding Common Security Vulnerabilities.

Secure Coding Practices in Python.

Encryption and Secure Data Handling.

Module 10: Best Practices and Design Patterns

Code Readability and Documentation.

Refactoring and Code Smells.

Design Patterns: Singleton, Factory, Strategy, etc.

Module 11: DevOps and Deployment

Containerization with Docker.

Continuous Integration and Continuous Deployment (CI/CD).

Cloud Deployment.

Module 12: Project Work

Real-world Project Development.

Code Reviews and Collaborative Development.

Application of Learned Concepts in a Comprehensive Project.

Frequently Asked Questions

What is Generative AI for Content Creation?

Generative AI for Content Creation refers to using AI tools to generate or enhance content such as images, videos, voiceovers, music, narration, and other creative assets from prompts and reference materials.

How can Generative AI help with content creation?

Generative AI can accelerate ideation and production by helping users create images, video concepts, voiceovers, music, and other content assets. It can also automate repetitive production workflows and generate multiple content variations.

Can beginners learn AI content creation without technical skills?

Yes. The course is designed for content creators, marketing teams, designers, social media managers, and business professionals, with practical exercises focused on prompting, creative production, and workflow automation rather than traditional programming.

Can Generative AI create videos and voiceovers?

Yes. The course covers prompt-to-video, image-to-video, AI voiceover, narration, music, sound design, voice cloning, and multilingual dubbing. Participants also learn about the current limitations of AI-generated video and audio.

What tools are used in this Generative AI content creation course?

The course introduces platforms and tools including Figma Weave, Krea, OpenArt, AI image and video models, and dedicated audio tools. Examples covered include ChatGPT Images, Nano Banana, Imagen, Veo, Seedance, Kling, ElevenLabs, and Minimax.

Is AI-generated content safe to use commercially?

AI-generated content may involve copyright, attribution, licensing, privacy, and confidentiality considerations. The course teaches participants how to identify these risks and apply responsible practices when creating content for commercial use.

Is this course HRDC Claimable?

Yes, the course can be offered as an HRDC claimable training programme, subject to applicable HRDC requirements, approval, and the employer's eligibility.

Can this Generative AI content creation course be customized?

Yes. The course can be customized around an organization's content requirements, brand guidelines, target audiences, preferred AI tools, and real-world content production workflows.

APP: Advanced Python Programming

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