logo


your one source for IT & AV

Training Presentation Systems Services & Consulting Cloud Services Purchase Client Center Computer Museum
Arrow Course Schedule | Classroom Rentals | Student Information | Free Seminars | Client Feedback | Partners | Survey | Standby Discounts

AI+ Engineer

SS Course: 9000595

Course Overview

TOP
The AI Engineer certification course offers comprehensive AI engineer training, covering AI fundamentals, neural networks, and large language models. Gain hands-on experience with AI architecture, generative models, and NLP applications. Learn to deploy AI models and communicate results effectively. This artificial engineer certification course is designed to equip you with practical skills for building sophisticated AI-driven solutions. Perfect for those pursuing expertise in AI/ML.                                                                  

Scheduled Classes

TOP
08/25/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
09/22/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
10/27/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
11/24/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)

What You'll Learn

TOP
  • Foundational Understanding
  • Ethical Considerations
  • Understanding AI Architecture and Development Lifecycle
  • Practical Implementation and Hands-on Experience
  • Effective Communication and Deployment

Outline

TOP
Foundations of Artificial Intelligence
  • Introduction to AI
  • Core Concepts and Techniques in AI
  • Ethical Considerations
 
Introduction to AI Architecture
  • Overview of AI and its Various Applications
  • Introduction to AI Architecture
  • Understanding the AI Development Lifecycle
  • Hands-on: Setting up a Basic AI Environment
 
Fundamentals of Neural Networks
  • Basics of Neural Networks
  • Activation Functions and Their Role
  • Backpropagation and Optimization Algorithms
  • Hands-on: Building a Simple Neural Network Using a Deep Learning Framework
 
Applications of Neural Networks
  • Introduction to Neural Networks in Image Processing
  • Neural Networks for Sequential Data
  • Practical Implementation of Neural Networks
 
Significance of Large Language Models (LLM)
  • Exploring Large Language Models
  • Popular Large Language Models
  • Practical Finetuning of Language Models
  • Hands-on: Practical Finetuning for Text Classification

Prerequisites

TOP
RequiredProficiency in Python is mandatory for hands-on exercises and project work.Familiarity with high school-level algebra and basic statistics.Understanding basic programming concepts (variables, functions, loops) and data structures (lists, dictionaries).RecommendedAI+ Executive AI+ Developer --Or--AI+ Data

    Who Should Attend

    TOP
    • AI Engineer
    • IT Professional

    Next Step Courses

    TOP