Artificial Intelligence and Machine Learning Courses

AI+ Engineer

Length 5 days
Price NZD 4350 exc GST
Inclusions Exam Voucher

Course overview

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Why study this course

The AI+ Engineer course offers a structured journey through the foundational principles, advanced techniques, and practical applications of Artificial Intelligence (AI). Beginning with the Foundations of AI, participants progress through modules covering AI Architecture, Neural Networks, Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Transfer Learning using Hugging Face. With a focus on hands-on learning, students develop proficiency in crafting sophisticated Graphical User Interfaces (GUIs) tailored for AI solutions and gain insight into AI communication and deployment pipelines. Upon completion, graduates are equipped with a robust understanding of AI concepts and techniques, ready to tackle real-world challenges and contribute effectively to the ever-evolving field of Artificial Intelligence.

Exam and certification

This course also prepares students for the AI+ Engineer certification, and an exam voucher is included with the course.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

This AI for Engineers course is designed to teach participants how to:

Attain a comprehensive understanding of AI fundamentals, from basic principles to advanced applications
Gain hands-on experience in building and deploying AI solutions
Learn about AI architecture, neural networks, LLM, generative AI, and NLP
Utilise Transfer Learning techniques with frameworks like Hugging Face to efficiently adapt pre-trained models for various tasks
Develop skills to create sophisticated GUIs for AI applications
Navigate AI communication and deployment pipelines effectively

AI CERTs at Lumify Work

AI CERTs™ stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is an Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for technical professionals interested in how to become an AI Engineer:

Software Engineers and Developers
Entrepreneurs and Innovators
Data Scientists and Business Analysts
Students and new Graduates

Course subjects

Module 1: Foundations of Artificial Intelligence

Introduction to AI
Core Concepts and Techniques in AI
Ethical Considerations

Module 2: 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

Module 3: Fundamentals of Neural Networks

Basics of Neural Networks
Activation Functions and Their Role
Backpropagation and Optimisation Algorithms
Hands-on: Building a Simple Neural Network Using a Deep Learning Framework

Module 4: Applications of Neural Networks

Introduction to Neural Networks in Image Processing
Neural Networks for Sequential Data
Practical Implementation of Neural Networks

Module 5: 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

Module 6: Application of Generative AI

Introduction to Generative Adversarial Networks (GANs)
Applications of Variational Autoencoders (VAEs)
Generating Realistic Data Using Generative Models
Hands-on: Implementing Generative Models for Image Synthesis

Module 7: Natural Language Processing

NLP in Real-world Scenarios
Attention Mechanisms and Practical Use of Transformers
In-depth Understanding of BERT for Practical NLP Tasks
Hands-on: Building Practical NLP Pipelines with Pretrained Models

Module 8: Transfer Learning with Hugging Face

Overview of Transfer Learning in AI
Transfer Learning Strategies and Techniques
Hands-on: Implementing Transfer Learning with Hugging Face Models for Various Tasks

Module 9: Crafting Sophisticated GUIs for AI Solutions

Overview of GUI-based AI Applications
Web-based Framework
Desktop Application Framework

Module 10: AI Communication and Deployment Pipeline

Communicating AI Results Effectively to Non-Technical Stakeholders
Building a Deployment Pipeline for AI Models
Developing Prototypes Based on Client Requirements
Hands-on: Deployment

Prerequisites

AI+ Data or AI+ Developer course should be completed
Basic understanding of Python
Basic maths: Familiarity with high school-level algebra and basic statistics
Python Programming: Proficiency in Python is mandatory for hands-on exercises and project work
Computer Science Fundamentals: Understanding basic programming concepts (variables, functions, loops) and data structures (lists, dictionaries)

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.