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Deep dive into specific AI technologies, models, frameworks, and platforms
AI that uses your enterprise data safely without retraining the model
Train AI models on your specific data for highly consistent, task-aligned outputs
The foundation for RAG, semantic search, and intelligent AI assistants
Design structured instructions that guide AI to produce accurate and reliable outputs
Safety, compliance, and operational controls that ensure AI behaves correctly at scale
Convert meaning into vectors that power semantic search, RAG, and intelligent AI workflows
Choose the right AI model for each use case based on accuracy, cost, latency, and compliance
Break documents into optimized units for accurate AI retrieval and reduced hallucinations
Build a scalable, secure, and governed foundation for all enterprise AI systems
Understand where you stand today and build a clear roadmap to scale AI across your organization
Build reliable agents that execute actions safely through well designed tool calling patterns
Measure the accuracy, reliability, safety, and business performance of your AI systems
AI systems built specifically for your enterprise that understand your data, processes, terminology, and workflows
The next evolution of AI: systems that reason, plan, and take action autonomously
Understanding when to use reactive chat and when to deploy autonomous agents
Practical AI for Modern Enterprises
Build custom AI copilots and automate business workflows using Microsoft's ecosystem
Run open source language models locally with full privacy and no cloud dependencies
Generate natural, human sounding speech for training, support, and customer experiences at scale
Systems that take actions, use tools, and automate complex multi-step workflows
Build advanced AI agents using Gemini models with enterprise grade orchestration and safety
Build action taking AI agents with GPT models, tool calling, and enterprise grade safety
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