Online Course
Prompt Engineering and AI Agents
Master the art of communicating with AI through Prompt Engineering and learn to build intelligent AI Agents that can automate complex tasks. This training equips you with practical skills to design, deploy, and optimize AI-driven workflows — ideal for tech enthusiasts, developers, and innovators.
Outline
Module 1: Python Programming Essentials
Goal: Build a strong foundation in Python for AI applications
Topics:
- Variables, data types, operators
- Conditional logic & loops
- Functions, modules, error handling
- Lists, dictionaries, sets, tuples
- File handling and basic input/output
Hands-on:
- Mini problems & practice exercises
- Build a small CLI-based calculator or todo manager
Module 2: Intermediate Python & Libraries
Goal: Enhance Python skills and explore libraries for data and APIs
Topics:
- List comprehensions, lambda, map/filter
- Working with files (CSV, JSON)
- Introduction to pandas and requests
- Using APIs and parsing responses
- Basic object-oriented programming
Hands-on:
- Read/write CSV, call a public API
- Create a simple data report from JSON
Module 3: Introduction to Machine Learning
Goal: Understand ML basics and build your first ML model
Topics:
- What is Machine Learning? Types of ML
- Workflow: Data -> Features -> Model -> Predict
- Train/test split, accuracy, confusion matrix
- Supervised learning: Classification & Regression
- Using scikit-learn for training simple models
Hands-on:
- Build a simple model (e.g., student grade predictor or spam detector)
- Visualize predictions with matplotlib/pandas
Module 4: Prompt Engineering & LLMs
Goal: Learn to communicate effectively with Large Language Models
Topics:
- What is Prompt Engineering?
- Prompt types: Zero-shot, few-shot, Chain of Thought
- Prompt tuning tips (temperature, max tokens, etc.)
- Prompt patterns (instruction, ReAct, role-based)
- Using OpenAI API / Playground / Python SDK
Hands-on:
- Prompt design for Q&A, summaries, code generation
- Improve a bad prompt through iterations
- Build a basic LLM chatbot using Streamlit (optional)
Module 5: Building AI Agents with Python
Goal: Build 3 practical AI agents using skills from all modules
Topics:
- What is an AI Agent? Types of agents (ML-based, LLM-based, Hybrid)
- Agent frameworks: custom Python logic, LangChain, OpenAI tools
- Using external tools: search, calculator, API calls, memory
- Planning & execution flows
Hands-on Projects:
Build three real-time agents from scratch:
1. Agent using LLM + LangChain tools
2. Agent using ML model with scikit-learn
3. Hybrid agent using ML prediction + prompt-based planner
Each project reinforces prompt engineering,
API use, ML logic, and interactive flow design
Course Fee
● Online
Rs. 9,000/- Total
- Once paid, the fee is non-refundable and non-transferable
Account Details
Bank: Habib Bank Limited
Account Title: AIN GenX
Account No: 5910-70000512-03
IBAN No: PK08 HABB 0059 1070 0005 1203
Faciliators
Irfan Bakaly
Data Analyst
25+ years of experience in Data Analysis
Noor Surani
Tech Entrepreneur
25+ years of experience in Data Analysis
Muhammad Huzaifa
BSSE, IBM Certified Data Scientist & Analyst
4+ years of experience
Who this course is for:
Tech Professionals & Developers, Digital Transformation & Innovation Teams, Business Analysts & Consultants, Educators & Researchers, Startups & Entrepreneurs
Duration
● 2 Months (21 Hours)
Classes
● Online via Zoom
Schedule
- Day: Sunday's Only
- Timing: 02:30 - 05:30 pm (PST)
Starting From
● Sunday, 1 June, 2025
Participants from Top Organizations
Certificates
