AI Introduction & Integration
Learn how to effectively leverage AI technologies. Gain hands-on experience integrating AI capabilities into software applications and workflows.
Overview
AI integration is becoming a critical skill for software developers. From leveraging large language models to implementing machine learning features, developers need to understand how to effectively incorporate AI capabilities into their applications.
This practical course covers AI integration from fundamentals to production deployment. You will learn to work with AI APIs, implement prompt engineering techniques, build AI-powered features, and handle the unique challenges of AI system development. Through hands-on projects, you will gain experience integrating AI into real applications.
Objectives
The main objectives of the AI Introduction & Integration course are:
- Understanding AI and ML fundamentals for developers
- Working with Large Language Models (LLMs) and AI APIs
- Mastering prompt engineering techniques for effective AI interactions
- Building AI-powered features: chatbots, content generation, and analysis
- Implementing retrieval-augmented generation (RAG) patterns
- Handling AI responses: parsing, validation, and error handling
- Managing AI costs, rate limits, and performance optimization
- Security and privacy considerations for AI integration
Duration and Schedule
The standard course duration is 3 days, with 6 or 7 hours of teaching each day. Additional workshops can focus on specific AI use cases.
The scheduling per day:
- Day 1: AI fundamentals, LLMs, and working with AI APIs
- Day 2: Prompt engineering, building AI features, and RAG patterns
- Day 3: Production considerations, security, and hands-on project
Target Audience
This course is designed for technical professionals integrating AI:
- Software Developers - adding AI capabilities to applications
- Full-Stack Developers - building AI-powered features
- Backend Engineers - integrating AI services and APIs
- Technical Leads - evaluating AI integration approaches
- Teams - starting their AI integration journey
Build AI-Powered Applications
Contact us to learn how to effectively integrate AI into your software
Prerequisites
Here are the prerequisites for the AI Introduction & Integration course:
- Programming experience: proficiency in at least one programming language
- API experience: familiarity with REST APIs and HTTP
- Basic understanding of JSON: working with structured data
- Curiosity about AI: eagerness to explore AI capabilities
Testimonials
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