AI & LLM Fundamentals
Models, tokens, context windows and modern AI application patterns.
Practical, project-led AI education for technology professionals, students and organizations. Move from AI fundamentals to enterprise RAG, Agentic AI and production-ready solutions.
Learn the concepts, tools and habits required to work effectively with modern AI systems.
Models, tokens, context windows and modern AI application patterns.
Turn business problems into measurable and practical AI opportunities.
Create reliable prompts with constraints, examples and structured outputs.
Connect models, tools and human checkpoints into repeatable workflows.
Learn the Python essentials required to build useful AI applications.
Build predictable AI responses with schemas and validation.
Select, organize and optimize the information an AI system receives.
Design for latency, model selection, token efficiency and cost.
Protect data, credentials and AI workflows from common risks.
Bring the fundamentals together in a practical assistant project.
Develop the skills needed to design, evaluate, secure and deploy enterprise-grade AI solutions.
Build production-oriented AI applications using retrieval, APIs and evaluation.
Design controlled AI agents that can reason, use tools and execute workflows.
Build grounded enterprise knowledge systems with retrieval and citations.
Measure quality, reliability and regression across AI application releases.
Apply identity, authorization, data boundaries and prompt-injection defenses.
Move from prototype to monitored, scalable and maintainable AI services.
Complete practical projects that demonstrate AI engineering capability beyond prompt demos.
Build a secure RAG assistant for company policies, procedures and technical knowledge.
Create an AI workflow that classifies incidents, retrieves runbooks and recommends actions.
Build a research workflow that structures evidence and produces traceable insights.
Create a personalized learning assistant with context, progress and guided exercises.
Complete the learning path and projects to demonstrate practical AI capability. Nelara can evolve this into a formal certificate and enterprise enablement program.