Build a real-time AI chat application in Go that streams LLM responses token by token from a locally running Ollama instance, using Server-Sent Events (SSE) on the backend and a clean fetch() + ReadableStream frontend.
Build in our in-browser playground · Earn a portfolio piece

Go
Backend Development
AI/LLM Integration
Streaming APIs
Frontend Development
MasteringbackendCertificate of Completion
This is to certify that
Your Name
has successfully completed the course
Build a Real-time AI Chat Application
Date
Instructor
MB TeamCertificate ID
MB-AOBM5CInstructor Signature
MB Team
Verified by Masteringbackend
Platform Authority
masteringbackend.com
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Enroll Now
"I truly appreciate the high-quality material in this course. The structured lessons, hands-on projects, and clear explanations make learning a great experience. I look forward to future additions and updates! Thanks for your polite and friendly attitude."

"The practical examples and hands-on exercises were particularly beneficial. They not only reinforced the theoretical concepts but also allowed me to apply them in real-world scenarios. The inclusion of best practices and common pitfalls added a practical dimension to the learning process."

"The course is an excellent resource for beginners. Your explanations of the basics are clear, making it easy for newcomers to grasp. I particularly enjoyed the task management application; it's a practical example that helps solidify the concepts."