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AI+ Developer

SS Course: 9000593

Course Overview

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AI+ Developer course equips you with essential skills in Python programming, mathematics, and data science for AI development. Master Python basics and advanced concepts, including object-oriented programming and performance optimization. Dive into mathematics for machine learning with linear algebra, calculus, and probability. This course prepares you to excel in AI development, offering practical knowledge in AI+ Developer Training to build, test, and optimize AI models and applications.                                                                  

Scheduled Classes

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08/18/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
09/15/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
10/06/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
11/17/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)

What You'll Learn

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  • Understand the essentials of AI and gain proficiency in Python for AI development.
  • Learn the architectures of deep learning and neural networks and their applications.
  • Explore various specialized AI applications across different industry sectors.
  • Acquire knowledge about large language models, including GPT, and master the art of prompt engineering.
  • Develop the skills to utilize AI tools, manage AI operations, and effectively deploy AI models in real-world scenarios.

Outline

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Foundations of Artificial Intelligence
  • Introduction to AI
  • Types of Artificial Intelligence
  • Branches of Artificial Intelligence
  • Applications and Business Use Cases
 
Mathematical Concepts for AI
  • Linear Algebra
  • Calculus
  • Probability and Statistics
  • Discrete Mathematics
 
Python for Developer
  • Python Fundamentals
  • Python Libraries
 
Mastering Machine Learning
  • Introduction to Machine Learning
  • Supervised Machine Learning Algorithms
  • Unsupervised Machine Learning Algorithms
  • Model Evaluation and Selection
 
Deep Learning
  • Neural Networks
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)

Prerequisites

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  • Familiarity with high school-level algebra and basic statistics is desirable.
  • Understanding the basic programming concepts (variables, functions, and loops) and data structures (lists and dictionaries).
  • Fundamental knowledge of programming skills.

    Who Should Attend

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    • AI Engineer
    • Software Developer
    • Programmer

    Next Step Courses

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