Master AI Development with Python - The Skill That Sets You Apart

Python is the universal language of AI - and for good reason. From powering chatbots and recommendation engines to enabling deep learning and predictive analytics, Python is the go-to tool for building real-world AI solutions.
Duration: 1 Day
Hours: 3 Hours
Training: Live Training
Training Level: All Level
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Friday, June 27, 2025
12:00 PM - 03:00 PM (Eastern Time)
Monday, July 21, 2025
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Thursday, August 14, 2025
12:00 PM - 03:00 PM (Eastern Time)
Thursday, September 18, 2025
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Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

About the Course:

“Master AI Development with Python - The Skill Top Engineers Swear By” is a focused, hands-on course that equips you with the essential tools, frameworks, and coding techniques needed to start building AI-powered applications from scratch. Whether you’re an aspiring engineer, data analyst, or tech-savvy professional, this course will help you build a strong foundation in AI development using the world’s most in-demand programming language.

Course Objective:

By the end of this course, participants will be able to:

  • Understand the core concepts of Artificial Intelligence, including machine learning and natural language processing.
  • Get hands-on experience with Python libraries such as NumPy, pandas, scikit-learn, and OpenAI's API or Hugging Face Transformers.
  • Learn how to preprocess data, build basic ML models, and integrate AI features into real applications.
  • Understand the structure of AI development workflows, from data to model to deployment.
  • Build and test a basic AI project using Python in a collaborative environment.

Who is the Target Audience?

This course is ideal for:

  • Junior developers, tech professionals, or data analysts ready to upskill in AI development.
  • Python beginners with basic programming experience looking to apply their skills to machine learning or AI.
  • STEM students or career switchers exploring practical, in-demand AI skills.
  • Product managers and technical leads who want to understand how AI is built and deployed.
  • Anyone looking to get hands-on with AI tools, libraries, and workflows using Python.

Basic Knowledge:

  • There are no prerequisites for this course.

Curriculum
Total Duration: 3 Hours
Module 1: Python for AI - Essential Building Blocks

  • Refresher: Python syntax for AI (lists, loops, functions, classes)  
  • Working with NumPy and pandas for data manipulation  
  • Loading and preparing datasets (CSV, JSON, API calls)  
  • Mini project: Analyze a dataset and prep it for modelling  

Module 2: Machine Learning Basics with scikit-learn

  • What is machine learning? (Supervised vs unsupervised learning)  
  • Introduction to scikit-learn: model selection, training, and evaluation  
  • Build your first ML model (e.g., classification or regression task)  
  • Model evaluation: accuracy, confusion matrix, and overfitting  
  • Hands-on lab: Create and test a model using a real dataset  

Module 3: Building AI with NLP & Generative Tools

  • Intro to Natural Language Processing (NLP) with spaCy or Hugging Face  
  • Using OpenAI’s API or transformers to build generative text models  
  • Create a simple chatbot or AI content generator using Python  
  • Responsible AI: Prompt safety, biases, and API rate limits  
  • Mini build: Your own GPT-powered text assistant  

Module 4: From Code to Concept - How to Keep Building

  • Structuring AI projects for growth and maintainability  
  • Model deployment basics (Streamlit, Flask, or Jupyter Notebook sharing)  
  • Using GitHub and community tools to accelerate your learning  
  • Final project: Build and present a simple AI-powered tool (team or solo)  
  • Wrap-up: Next steps, career paths, and portfolio tips for AI developers