MC 03: GROQ and Building Apps with APIs in Python (1st Project)

AI apps come alive when they can call fast models and real-world data through APIs.

In this live masterclass you will learn how to use GROQ for fast AI inference and how to work with APIs in Python: REST principles, HTTP requests and parsing responses. Then you will put it into practice by building your first Python application that integrates an API and handles errors properly.

What we will cover:
- Understanding GROQ: syntax, functions, and why it matters for AI applications
- Working with APIs in Python: REST principles, HTTP requests, parsing responses
- Building your first Python application: integrating APIs and handling errors
- Live project: a Python app that calls the GROQ API, parses the response and handles an error case
- Live Q&A

Who it's for: developers, analysts, career swiitchers, and anyone building their first AI applications. Basic Python familiarity helps; no prior API experience needed.

Your host: Mohammad Arshad, 21+ years in data, analytics and AI; founder of Decoding Data Science; sessions at LEAP, GITEX and the Global AI Show.

Part of the AI Residency Program (Cohort 12)

This masterclass is part of the AI Residency - Decoding Data Science's flagship 20-week mentor-led program: 20 live masterclasses, self-paced learning, one-on-one mentorship, and hands-on projects that build a real portfolio, covering LLMs, RAG, fine-tuning, agents, security and evaluation. CPD Member Org, with residents from 50+ countries.