Agentic AI (Sentiment Analyzer)
INR 1.00
In this lab, learners will design and implement an AI-powered solution on a virtual machine. They will interact with Azure OpenAI and Gemini APIs, structure prompts, process responses, optimize outputs, and debug workflows. The lab focuses on practical implementation, VM-based deployment, real-world problem solving, and industry-aligned AI use cases that strengthen hands-on cloud and AI engineering skills.
Lab Type
VM-based / Cloud-integrated (Azure OpenAI / Gemini)
Tech Stack
Python, Azure OpenAI, Gemini API, Linux VM
Best For
Data science beginners, NLP learners, business analytics students
Prerequisites
Basic Python, Linux fundamentals, API understanding
Outcomes
Learners will build practical AI applications, understand prompt engineering, implement real-world AI workflows using APIs, and gain hands-on exposure to production-style AI systems.
Estimated Duration
3–5 hours
Why Our Skill Program Works
Your Learning Benefits
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