Gen AI for Code Generation for Python

Taught in English

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Course

Gain insight into a topic and learn the fundamentals

Instructor: Edureka

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Beginner level

Recommended experience

4 hours to complete

3 weeks at 1 hour a week

Flexible schedule

Learn at your own pace

What you'll learn

Coding with ChatGPT, Data Visualization

Skills you'll gain

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There is 1 module in this course

Welcome to the 'Gen AI for Code Generation for Python' course, where you'll embark on a journey to explore and develop your skills in the art of code generation with Generative AI.

Throughout this short course, you will delve into various techniques for generating Python code effortlessly, ranging from simple scripts to complete end-to-end projects. By the course's conclusion, you will be able to: - Generate code with the help of the Generative AI tool - Implement strategies to design precise prompts for optimal code output - Analyze the quality and efficiency of the generated Python code - Create diverse Python projects using Gen AI's code-generation tools - Create diverse test scenarios using ChatGPT to cover various aspects of software functionality -Generate effective test cases with ChatGPT encompassing different use and potential edge cases -Evaluate the best practices in AI-driven code generation -Practice refining and optimizing generated code for real-world applications This course is tailored for freshers, Python developers, and coding enthusiasts eager to harness the power of Generative AI in their coding journey. Prior experience with Generative AI and Prompt Engineering concepts can provide a beneficial foundation for this course. Embark on a creative journey to enhance your proficiency in generating visually captivating Python code for a wide range of purposes.

This course empowers learners with the skills and knowledge needed to excel in code generation using generative AI. It offers practical guidance on optimizing prompts for superior output and fosters a deep understanding of generative AI models and their capabilities. By the course's conclusion, participants will be well-prepared to produce high-quality code, automate tasks, and create custom tools, enhancing their productivity and creativity as developers. This course is designed for learners of all levels, from beginners to experienced developers. Prior coding experience in Python is a plus, but no prior experience with generative AI is required..

What's included

25 videos8 readings3 quizzes2 discussion prompts

25 videosTotal 147 minutes

Course Introduction5 minutesPreview module
Overview of Generative AI5 minutes
Understanding Generative AI Models7 minutes
Generative AI for Code Generation9 minutes
Popular Generative AI Tools for Code3 minutes
Getting Started with ChatGPT6 minutes
Exploring ChatGPT for Code Generation6 minutes
Code Generation with ChatGPT5 minutes
Demystifying Prompt Engineering (Part 1)4 minutes
Demystifying Prompt Engineering - Part 211 minutes
Effective Prompt Strategies for Optimizing Output4 minutes
Prompt Engineering Techniques Explained (Part 1)4 minutes
Prompt Engineering Techniques Explained (Part 2)5 minutes
Leveraging Prompt Engineering with ChatGPT5 minutes
Leveraging ChatGPT to Learn Data Science with Python7 minutes
Visualization with Gen AI 2 minutes
Visualization with Gen AI - Demonstration6 minutes
Demonstration – Exploratory Data Analysis (Part 1)11 minutes
Demonstration – Exploratory Data Analysis (Part 2)7 minutes
Hands-on Code Generation with ChatGPT (Part 1)7 minutes
Hands-on Code Generation with ChatGPT (Part 2)3 minutes
Software Testing Enriched by ChatGPT (Part 1)2 minutes
Software Testing Enriched by ChatGPT (Part 2)4 minutes
Code Optimization Insights with ChatGPT Assistance5 minutes
Streamlining Documentation and Reporting Processes with AI4 minutes

8 readingsTotal 62 minutes

Course Overview4 minutes
Understanding Different Generative AI Models7 minutes
How to Use Discussion Forums2 minutes
Getting started with ChatGPT5 minutes
How Data Science Professionals can use ChatGPT5 minutes
Data Security in ChatGPT5 minutes
Practice Project: 911 Call Data Analysis30 minutes
Course Synopsis4 minutes

3 quizzesTotal 30 minutes

Knowledge Check5 minutes
Knowledge Check5 minutes
End Course Knowledge Check20 minutes

2 discussion promptsTotal 5 minutes

Discuss the Impact of Generative AI2 minutes
Discuss How Generative AI Has Changed Coding3 minutes

Instructor

Edureka

37 Courses11,848 learners

Offered by

Edureka

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Frequently asked questions

Generative AI for code generation refers to the application of generative AI models to produce, assist, or optimize code automatically. This technology, often seen in tools like the Python code generator AI, leverages vast amounts of training data to produce code snippets, functions, or even entire scripts based on user prompts or requirements.

Using generative AI, especially AI Python code generator tools, offers several benefits:

Speed: Generative AI can quickly produce code, reducing development time.

Efficiency: With the AI code generator, common tasks or repetitive coding patterns can be automated.

Learning Assistance: For beginners, the AI code generator can provide code examples or solutions, aiding in the learning process.

Optimization: Advanced AI code generator Python tools can suggest code optimizations or best practices.

Customization: Users can get tailor-made code snippets based on specific requirements or constraints.

While tools like AI code generation offer numerous advantages, there are challenges:

1) Dependence: Over-reliance on the Python AI code generator can hinder a developer's problem-solving skills.

2) Quality Assurance: AI-generated code might only sometimes meet the required standards or best practices.

3) Interpretability: Understanding the logic behind some AI Python code generator outputs can sometimes be challenging, especially with complex code.

4) Training Data Limitations: The quality and diversity of code from a Python code AI generator depend on its training data.

The horizon for generative AI in code generation is expansive. We can anticipate:

1) Improved Accuracy: As models evolve, the accuracy and relevance of Python code generator AI outputs will be enhanced.

2) Integration with IDEs: Direct integration of AI code generator Python tools within popular Integrated Development Environments.

3) Collaborative Coding: AI-powered tools like the Python code AI generator will enable real-time coding collaboration between humans and AI.

4) Domain-Specific Generators: Specialized AI Python code generator tools tailored for specific industries or applications.

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

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When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.