AI+ Engineer

Full AI Stack training covering Transfer Learning with Hugging Face and GUI design. Build real AI systems and manage communication pipelines. Gain the skills to engineer scalable AI solutions for innovation.

Course Curriculum

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 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 Optimization Algorithms
Hands-on: Building a Simple Neural Network

Module 4: Applications of Neural Networks

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: Finetuning for Text Classification

Module 6: Application of Generative AI

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

Module 7: Natural Language Processing

NLP in Real-world Scenarios
Attention Mechanisms and Transformers
In-depth Understanding of BERT
Hands-on: Building 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

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 to Stakeholders
Building a Deployment Pipeline
Developing Prototypes Based on Client Requirements
Hands-on: Deployment

What You'll Learn

Prerequisites

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint

Foundations of Artificial Intelligence

10%

Introduction to AI Architecture

10%

Fundamentals of Neural Networks

10%

Applications of Neural Networks

10%

Significance of Large Language Models (LLM)

10%

Application of Generative AI

10%

Natural Language Processing

10%

Transfer Learning with Hugging Face

10%

Crafting Sophisticated GUIs for AI Solutions

10%

AI Communication and Deployment Pipeline

10%

Who Should Take This Course

AI Engineers

Machine Learning Engineers

AI Solutions Architects

AI Systems Integrators

Starting From

£400

Choose Your Format

E-Learning

£400

Instructor-Led

£3160

E-Learning Includes:

Instructor-Led Includes:

40 hours of Instructor-Led Training (ILT)
Live trainer-guided sessions (in-person or virtual)
Interactive discussion & real-time Q&A
Hands-on practice & practical exercises
Immediate feedback from expert instructors
Team building & collaborative learning
Official certification upon completion

View Training Schedule →

Exam voucher included