Learn how to install and integrate GitHub Copilot with IDEs like Visual Studio Code.

Master the use of AI-powered code suggestions, from simple functions to complex algorithms.

Understand how to leverage context-aware suggestions to improve code accuracy.

Learn how to write efficient, bug-free code faster with Copilots autocomplete and code refactoring features.

Use Copilot for debugging, spotting errors, and suggesting improvements in your code.

Average Salary: 4,00,000 to 8,00,000 annually for freshers in tech roles.

Professionals skilled in AI-driven development may earn higher salaries as companies increasingly adopt Copilot.

With experience and specialized skills, salaries can increase based on the complexity of roles, reaching 12,00,000+ annually.

Faster career progression due to increased productivity and efficiency.

Ability to work on more complex and innovative projects using AI-powered tools.

Opportunities to move into specialized roles like AI Developer or Machine Learning Engineer.

The course equips you with in-demand skills that are valuable to modern tech companies.

Copilot reduces the time spent writing code, allowing developers to focus on problem-solving.

Helps developers avoid common coding errors by suggesting corrections and improvements.

Increases overall efficiency, enabling faster development cycles and quicker delivery times for projects.

Copilot is integrated with multiple programming languages (Python, JavaScript, Java, C++, etc.), making it versatile for developers working across various domains.

AI Developer: Specialize in creating applications powered by AI, using tools like GitHub Copilot to accelerate the development process.

Software Engineer: Build scalable and efficient software solutions, using Copilot to generate code suggestions.

Full-Stack Developer: Develop both frontend and backend components of applications, leveraging Copilot for quick development.

Backend Developer: Focus on server-side development, using Copilot for automating tasks like API integration and database handling.

Automation Engineer: Automate repetitive coding tasks with Copilots suggestions, streamlining workflow.

Using Copilot for code generation and building features quickly.

Fixing bugs and refactoring legacy code with the help of AI suggestions.

Collaborating with teams to integrate Copilot into larger development projects.

Writing efficient code and improving code quality using Copilots recommendations.

Information Technology (IT): Software companies, cloud services, and cybersecurity firms are increasingly adopting Copilot for more efficient code writing.

AI & Machine Learning: Companies working in AI development are integrating Copilot for smarter and faster coding.

Startups: Innovative tech startups looking to scale quickly often use Copilot to speed up development processes.

Finance & FinTech: Financial institutions leverage Copilot to optimize code for complex financial models and data processing.

E-commerce: Online retail platforms use Copilot to improve website and app functionality with quick code generation.