Building Secure AI Applications
Introduction to Building Secure AI Applications In the previous lesson, we added guardrails around an AI application. We checked…
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Guardrails and Safety – prompt injection, content moderation
Introduction to Guardrails and Safety In the previous lesson, we took a working AI application and improved the way…
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Agent Use Cases – research assistant, coding assistant, workflow automation
Introduction to Agent Use Cases In this lesson, learners will: Understand real-world AI agent use cases Learn how AI…
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Multi Step Reasoning Systems
Introduction to Multi Step Reasoning Systems In this lesson, learners will: understand what multi-step reasoning systems are learn why…
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Building AI Workflows with LangChain
Introduction to Building AI Workflows with Lang Chain In this lesson, learners will: we will take LangChain further by…
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Tool Calling and Task Planning
SECTION 1 — Opening Problem Large language models are powerful. But by themselves, they cannot: How AI systems use…
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What Are AI Agents?
SECTION 1 — Opening Problem Most AI applications today answer questions. But newer AI systems can actually: What AI…
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Connecting GitHub to Deployable Apps
SECTION 1 — Why Deployment Matters Right now, your AI app only runs on your computer. That means: nobody…
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Managing Application State and Conversation Memory
What the Learner Will Build In this lesson, the learner will upgrade a simple Gemini powered Streamlit app into…
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Creating Interactive AI Tools(email writer, document assistant)
Introduction to Creating Interactive AI Tools So far, we’ve built something important. We created a frontend using Streamlit. Then…
