• Understand LLM architecture, transformers, fine-tuning, and RAG 

• Select and integrate leading LLM APIs into AI applications 

• Build practical solutions such as chatbots, document intelligence, and enterprise search 

• Evaluate LLM applications for accuracy, safety, reliability, and cost 

• Apply production practices for monitoring, logging, optimization, and scalability 

• LLM architecture: transformers, fine-tuning, retrieval-augmented generation (RAG) 

• Selecting and integrating LLM APIs: OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude 

• Building AI applications: chatbots, document intelligence, enterprise search, analytics 

• Evaluation frameworks for LLM outputs: accuracy, safety, reliability, and cost 

• Production deployment: monitoring, logging, cost optimization, and scaling strategies 

3 days

Course Completion Certificate by Network Binary

• Software developers and engineers 

• AI and machine learning professionals 

• Data professionals 

• Application architects 

• Technical AI teams 

• Professionals building LLM-powered applications 

• Basic programming and software development knowledge 

• Familiarity with APIs and application development 

• Basic understanding of AI or machine learning concepts 

• Cloud and development environment experience is beneficial