Who said that AI applications should only be developed in Python? In this course, you will learn how to practically integrate AI into real applications using Go—starting from the basic use of LLM and gradually moving to the creation of dynamic, intelligent, and autonomous AI agents. Each module of the course is result-oriented: you will not just study the technologies, but create complete projects, enhancing your portfolio and strengthening your skills.
Course Objectives
This course aims to equip you with the skills to build and deploy AI projects using Go. You will gain practical experience that will help in advancing your career and expanding your project portfolio.
What You Will Learn
- Create Complete AI Projects: Develop more than three full-fledged AI projects and learn how to effectively deploy them.
- LLM API Integration: Master the art of working with LLM APIs such as OpenAI and Claude using Go.
- Vector Databases and Semantic Search: Implement vector databases, embeddings, and develop semantic search capabilities.
- Model Interactions: Build interactions with models using function calling and structured queries to create seamless solutions.
- Deploy AI Applications: Learn how to deploy AI applications to production with a robust and well-thought-out architecture.
- Building AI Systems: Create advanced step-by-step AI systems and intelligent content processing mechanisms.
