AI Development & Vibe Coding
Build AI-powered applications using LLMs, prompt engineering, and AI-assisted coding.
Choose Internship Duration Plan
Select a flexible plan duration to view custom roadmaps and training topics
Plan Summary
Duration
30 Days Plan
Commitment
3-4 hours / day
Focus
Advanced AI Agent engineering. Design self-reflecting agents, configure Retrieval-Augmented Generation (RAG) pipelines, and orchestrate complex workflows using LangChain or LlamaIndex.
Training Topics
- Retrieval-Augmented Generation (RAG) architecture and chunking strategies
- Agent systems: function calling, tool use, and loop feedback self-correction
- Orchestrating agent workflows using LangChain / LangGraph / AutoGen
- Monitoring LLM token latency, costs, and fine-tuning concepts
Training Roadmap & Phases
Complete RAG Pipeline
Upload documents, parse sections, generate vector indexes, and run contextual RAG query tasks.
Function Calling & Tools
Enable LLMs to trigger local database writes, search the web, and call calculators via API hooks.
Multi-Agent Workflows
Implement a collaborative team of agents (e.g. Writer agent, Editor agent) that pass outputs for approval.
Evaluation & Production Scaling
Run automated evaluation test suites, optimize system latency, integrate tracing with LangSmith, and deploy.
Ready to Kickstart Your Journey?
Secure your spot in our verified AI Development & Vibe Coding internship. Limited batch sizes for personalized mentorship.