Mastering GitHub Copilot's AI Assistance and AI-Powered Code
Accelerate Your Coding Journey with AI-Powered Code Generation
Development ,Software Development Tools,GitHub
Lectures -8
Duration -33 mins
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Course Description
This GitHub Copilot: AI-Powered Code Generation course aims to equip the developers with the knowledge and skills required for tapping into AI's full potential in generating code. GitHub Copilot is an AI tool used by developers for completing their code snippets and code line completions with contextual understanding and programming patterns.
You will learn how to integrate GitHub Copilot into your coding workflow and use its power to increase productivity and efficiency. You will learn various programming languages and platforms supported by GitHub Copilot and understand how to get the most out of its code generation capabilities.
Topics covered include:
1. GitHub Copilot: Overview and Key Features Learn all the key features and functionalities of GitHub Copilot to see its transformative potential on your coding life.
2. Setting up GitHub Copilot Learn how to set up GitHub Copilot in your preferred development environment and all the available options and settings.
3. How the AI works from GitHub Copilot; then generate smart, context-aware, and intelligent code completions by understanding patterns within previously written codes that fill-in-the-blanks kind of with correct answers
4. Ways for copilot to easily fit the workflow of coding so to even better take advantage of suggestions offered.
5. Customise Copilot: Understand how to tailor and customise GitHub Copilot for your coding needs and boost its ability to produce quality code.
6. Best Practices and Tips: Find best practices and some useful tips that will help you maximize benefits using GitHub Copilot with good code quality and maintainability.
7. Advanced Features and Future Developments: A view of advanced features and upcoming developments in GitHub Copilot and staying ahead of the curve in AI-powered code generation.
The hands-on exercises and coding examples throughout the course will allow you to apply what you learn and strengthen your hands-on skills. At the end of the course, you will have a good grounding in how to use GitHub Copilot and integrate AI-powered code generation into your development projects, making your work more productive and getting you to write code more quickly and efficiently.
Who this course is for:
Developers who want to know more about the new AI-empowered code completion and debugging, amongst other newer tools
Software development engineers keen on productivity efficiency in latest development tools.
Anyone that is interested to learn on how AI can be deployed in software development.
Goals
Overview of AI tools for developers and their impact on software development
Setup and configuration of GitHub Copilot with popular programming languages
Hands-on exercises and projects to practice using AI tools to streamline the development workflow
Hands-on exercises and projects to practice using ChatGPT to generate code snippets and complete code blocks
Integration of ChatGPT with popular IDEs and text editors
Prerequisites
Students will need a computer/laptop to do the practical implementation.
Basic programming knowledge is required.

Curriculum
Check out the detailed breakdown of what’s inside the course
Introducing GitHub Copilot
1 Lectures
-
Introducing GitHub Copilot: AI-Powered Code Generation Unleashed 02:22 02:22
Understanding AI-Powered Code Generation
1 Lectures

Setup and Configuration
1 Lectures

Navigating the Interface
1 Lectures

Advanced Techniques
1 Lectures

Hands-On Experience
1 Lectures

Enhancing Productivity
1 Lectures

Best Practices and Future Insights
1 Lectures

Instructor Details

AKHIL VYDYULA
Data Scientist | Data & Analytics Specialist | EntrepreneurHello, I'm Akhil, a Senior Data Scientist at PwC specializing in the Advisory Consulting practice with a focus on Data and Analytics.
My career journey has provided me with the opportunity to delve into various aspects of data analysis and modelling, particularly within the BFSI sector, where I've managed the full lifecycle of development and execution.
I possess a diverse skill set that includes data wrangling, feature engineering, algorithm development, and model implementation. My expertise lies in leveraging advanced data mining techniques, such as statistical analysis, hypothesis testing, regression analysis, and both unsupervised and supervised machine learning, to uncover valuable insights and drive data-informed decisions. I'm especially passionate about risk identification through decision models, and I've honed my skills in machine learning algorithms, data/text mining, and data visualization to tackle these challenges effectively.
Currently, I am deeply involved in an exciting Amazon cloud project, focusing on the end-to-end development of ETL processes. I write ETL code using PySpark/Spark SQL to extract data from S3 buckets, perform necessary transformations, and execute scripts via EMR services. The processed data is then loaded into Postgres SQL (RDS/Redshift) in full, incremental, and live modes. To streamline operations, I’ve automated this process by setting up jobs in Step Functions, which trigger EMR instances in a specified sequence and provide execution status notifications. These Step Functions are scheduled through EventBridge rules.
Moreover, I've extensively utilized AWS Glue to replicate source data from on-premises systems to raw-layer S3 buckets using AWS DMS services. One of my key strengths is understanding the intricacies of data and applying precise transformations to convert data from multiple tables into key-value pairs. I’ve also optimized stored procedures in Postgres SQL to efficiently perform second-level transformations, joining multiple tables and loading the data into final tables.
I am passionate about harnessing the power of data to generate actionable insights and improve business outcomes. If you share this passion or are interested in collaborating on data-driven projects, I would love to connect. Let’s explore the endless possibilities that data analytics can offer!
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