Large Language Models become powerful when they move beyond chat interfaces and start interacting with real systems.

In MC06, we focus on building structured AI applications using:

• Custom LLM wrappers
• Deterministic function calling workflows
• API & database integration
• JSON schema enforcement
• Error handling & guardrails

You will learn how to transform an LLM from a generative assistant into a controlled execution engine that can:

• Trigger backend logic
• Query databases
• Call REST APIs
• Validate structured outputs
• Return machine-readable responses

This session bridges the gap between experimentation and production-grade AI architecture.

🧠 Key Technical Topics

1️⃣ LLM Wrappers Architecture

• Abstracting model calls
• Temperature, verbosity, reasoning configuration
• Standardized response handlers
• Logging and observability patterns

2️⃣ Function Calling / Tool Use

• Schema design for structured outputs
• Designing reliable tool definitions
• Multi-step execution workflows
• Handling partial tool failures

3️⃣ Data Integration

• Connecting to:
• REST APIs
• SQL/NoSQL databases
• Vector stores
• Internal enterprise systems
• Parsing and validating JSON responses
• Secure credential management

4️⃣ Guardrails & Validation

• Schema validation
• Retry logic
• Hallucination control strategies
• Deterministic response enforcement

🛠 Hands-On Component

Participants will build:

• A structured LLM wrapper in Python
• A function-calling workflow
• API integration with validated JSON output
• A production-ready response pipeline

👥 Who This Is For

• AI Residency participants
• Developers building AI-powered apps
• Engineers integrating LLMs into backend systems
• Founders shipping AI products

📦 What You’ll Walk Away With

• A reusable LLM wrapper template
• A clear pattern for tool-based orchestration
• Production-level architecture thinking
• A deployable mini AI system

This masterclass moves you from:
Prompt Engineer → AI Systems Builder

If you are serious about building real AI products, this session is foundational.

Part of AI residency

https://academy.decodingdatascience.com/airesidencyfasttrack