Advanced AI with Security
Design and deploy secure AI systems with private data, semantic search, LangChain, and multi‑cloud RAG architectures.
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Audience: Developers, data scientists, team leads, project managers
Duration: 2 days
Format: Lectures and hands‑on labs (50% lecture, 50% lab)
Overview
AI enables unprecedented applications but often requires secure, responsible implementation. This course covers building AI systems with private data, semantic search databases, retrieval‑augmented generation, and secure on‑prem or cloud architectures.
Objective
Design and deploy secure AI systems with private data, semantic search, LangChain, and multi‑cloud RAG architectures.
What You Will Learn
- Dialoguing with AI (prompt engineering best practices)
- Organising documents for semantic search
- Implementing RAG with private documents
- LangChain models, memory, chains, and evaluation
- Secure local/on‑prem model deployment
- Cloud architecture best practices
Course Details
Audience: Developers, data scientists, team leads, project managers
Duration: 2 days
Format: Lectures and hands‑on labs (50% lecture, 50% lab)
- General familiarity with machine learning
Setup: Zero‑install cloud lab • Laptop • Chrome browser
Detailed Outline
- Iterative development
- Summarizing
- Inferring
- Transforming
- Expanding
- Chatbot
- Document chunking
- Vector databases
- RAG
- Hybrid search
- Facial similarity search
- Anomaly detection
- Models, prompts, parsers
- Memory
- Chains
- Q&A
- Evaluation
- Conversational bot
- AWS / Azure / Google RAG overviews
- Evaluating Generative AI
- Practical demos
Ready to Get Started?
Contact us to learn more about this course and schedule your training.