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We're here to help you find itGH-300 Exam Prep Course Overview
Achieving mastery in the AI-augmented development landscape requires a systematic methodology for success. The GH-300 Exam Prep course at Koenig Solutions provides this structured pathway, meticulously engineered to equip you with the critical skills and empirical knowledge needed to pass the GH-300 certification exam. Our curriculum is a deep dive into pivotal domains, including network design, security implementation, and advanced troubleshooting protocols. We go beyond theoretical postulation; we guide you in applying these concepts to observable, real-world scenarios, thereby validating your ability to resolve complex IT challenges. Through our signature hands-on approach, you will methodically solidify your expertise and build the confidence to excel.
The GH-300 exam is a certification from the microsoft corporation that serves as a formal validation of a professional’s ability to effectively employ AI-powered coding tools. It specifically assesses proficiency with GitHub Copilot in software development, a key component of the expanding Microsoft AI ecosystem. This certification validates a developer's skill in constructing effective prompts, critically evaluating AI-generated suggestions, and integrating Copilot into a development workflow while upholding principles of responsible AI use. For a growing number of developers and IT managers, this certification is becoming the standard for verifying skills in the new paradigm of software development.
Purchase This Course
USD
View Fees Breakdown
| Course Fee | 100 |
|
Total Fees |
100 (USD) |
USD
View Fees Breakdown
| Course Fee | 100 |
|
Total Fees |
100 (USD) |
USD
View Fees Breakdown
| Flexi Video | 16,449 |
| Official E-coursebook | |
| Exam Voucher (optional) | |
| Hands-On-Labs2 | 4,159 |
| + GST 18% | 4,259 |
|
Total Fees (without exam & Labs) |
22,359 (INR) |
|
Total Fees (with Labs) |
28,359 (INR) |
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♱ Excluding VAT/GST
*Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs