Artificial IntelligencePKR 2,0004 Weeks (1 Month)
Practical Artificial Intelligence & AI Agents
Master prompt engineering, LLM API integration, vector databases, and building autonomous multi-step AI agents with LangChain.

Practical Artificial Intelligence & AI Agents • Syllabus & Lab ArchitectureLive Production Capstone Included
Course Overview
This intensive one-month hands-on course takes you beyond basic chatbot queries into real-world AI software engineering. You will learn how LLMs function, connect them to external APIs, store and query document embeddings with vector databases, and deploy production-ready AI agents.
What You Will Master
Understand transformer architecture, tokenization, and temperature controls
Integrate OpenAI and Claude APIs into real backend services
Build Retrieval-Augmented Generation (RAG) pipelines over custom documents
Develop autonomous agent workflows using LangChain and tool-calling schemas
Implement evaluation benchmarks and prevent model hallucinations
Week-by-Week Syllabus
Week 1
LLM Fundamentals & Structured Prompt Engineering
Tokenizer mechanicsSystem vs user rolesJSON-mode enforcementFew-shot prompting
Week 2
Vector Embeddings & RAG Knowledge Retrieval
Text chunking strategiesCosine similarityPinecone & pgvector setupContext injection
Week 3
Autonomous AI Agents & Tool Calling
ReAct frameworkLangChain agent graphsAPI function callingState management
Week 4
Production Deployment & Evaluation
Streaming responsesToken cost optimizationPrompt injection defenseFinal Capstone Project
Cohort Enrollment Details
Target Audience
Software developers, computer science students, and tech enthusiasts seeking hands-on AI engineering skills.
Prerequisites
Basic knowledge of Python or JavaScript programming.
Course FeePKR 2,000
Batch StatusOpen for Enrollment
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