GitHub Copilot - OAIML GitHub Copilot Beginner to Pro Training in Bhubaneswar, India

GitHub Copilot Boost Your Coding Speed and Accuracy

GitHub Copilot is revolutionizing the way developers write code. Powered by advanced AI, it suggests entire lines or blocks of code in real time, helping you code faster, reduce errors, and stay focused on problem-solving. Our GitHub Copilot Training program equips you with the skills to harness this AI tool effectively, no matter your experience level.

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Who Can Benefit from This Training?

Software developers

Data scientists

Students learning programming

Teams aiming to speed up development cycles

What Our Training Covers

Introduction to GitHub Copilot– Understanding its features and limitations.
Setup & Configuration– Installing and activating Copilot in your environment.
Practical Coding Sessions– Real-world exercises in Python, JavaScript, Java, and more.
Best Practices & Ethics– Using AI responsibly in software development.
Troubleshooting– Overcoming common challenges and maximizing efficiency.

AI for Developers

Artificial Intelligence (AI) has moved beyond theory to become a key driver of innovation in software development. For developers, AI is not just a tool—it’s a way to enhance applications, create intelligent systems, and solve complex problems that were previously impossible or inefficient.

Syllabus + Projects

Month 1: AI & Machine Learning Foundations
- Month 2: Deep Learning & Neural Networks
- Month 3: NLP, AI Tools & Deployment
By the end of this 3-month program, developers will be able to:
- Build AI/ML models using Python
- Work with deep learning frameworks (TensorFlow, PyTorch)
- Apply AI to real-world problems in NLP, CV, and predictive analytics
- Deploy AI models as web applications or APIs
- Complete a full AI project from scratch

Syllabus + Project

Month 1: Python & Programming Foundations for AI
- Month 2: Mathematics for AI & Data Handling
- Month 3: Machine Learning Fundamentals
- Month 4: Deep Learning & Neural Networks
- Month 5: Natural Language Processing (NLP) & Advanced AI
- Month 6: AI Model Deployment & Capstone Project
Learning Outcomes:
By the end of 6 months, Developers will Learn & Execute:
- Master Python programming for AI applications
- Implement machine learning and deep learning algorithms
- Work on NLP and computer vision projects
- Deploy AI solutions in real-world applications
- Build and present a full-scale capstone project

Syllabus + Project

Month 1-2: Foundations & Programming for AI
Month 3-4: Machine Learning Fundamentals
Month 5-6: Advanced Machine Learning & Feature Engineering
Month 7-8: Deep Learning & Neural Networks
Month 9: Natural Language Processing (NLP)
Month 10: Reinforcement Learning & AI Applications
Month 11: AI Deployment & Cloud Integration
Month 12: Capstone Project

Training Formats Available

We offer flexible training formats classroom, live online, or self-paced designed to fit your schedule while ensuring quality and convenience.

Online Live Classes

Self Paced Learning

Corporate Workshops

Certification

• Industry-Recognized Credential – Receive a Prompt Engineering Pro Certificate upon successful completion of the course.
• Career Advantage – Showcase your expertise to potential employers and enhance your professional credibility.
• Skill Validation – The certificate validates your hands-on learning, practical projects, and mastery of prompt engineering concepts.
• Shareable Achievement – Add your certification to LinkedIn, resume, or portfolio to stand out in the job market.

Why Learn GitHub Copilot?

Whether you’re a beginner or an experienced developer, GitHub Copilot can significantly enhance productivity. It supports multiple programming languages, offers intelligent code suggestions, and helps you learn best practices on the go. With proper training, you’ll learn how to: