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Program AI 2 – Artificial Intelligence, Machine Learning, & Computer Vision - Develop skills in AI, machine learning algorithms, and computer vision applications
ADVANCEDai
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Program AI 2 – Artificial Intelligence, Machine Learning, & Computer Vision

Develop skills in AI, machine learning algorithms, and computer vision applications

Duration:24 lessons
Class Size:Max 8 students
Learning Mode:hybrid
6 modules•24 topics•24 lessons•24 total hours

About This Course

This program provides a comprehensive understanding of AI and machine learning, including supervised and unsupervised learning, computer vision, and natural language processing.

Key Learning Outcomes

  • Generative AI

    Implement generative AI models

  • Creative AI

    Build creative AI applications

Course Modules

Course Curriculum

A comprehensive learning path structured in modules

6 modules
24 total topics
24 lessons

1
Foundations of Generative AI

Understanding the core concepts and mechanisms of generative AI models

4 lessonsCollapse module 1

1.1AI 101: Core Concepts

Exploring key definitions, LLMs, and the self-supervised learning process

1.2Data, Training, and Bias

Understanding data curation, training methods, and addressing biases

1.3Word Representations & Neural Networks

Learning how text is transformed into numerical embeddings for processing

1.4Attention Mechanisms

Exploring how models focus on relevant context and generate coherent outputs

2
Prompt Engineering & LLM Customization

Mastering the art of crafting effective prompts and customizing AI models

4 lessonsExpand module 2

2.1Prompt Engineering Basics

Learning fundamental techniques for interacting with language models

2.2Advanced Prompt Strategies

Implementing few-shot learning, retrieval techniques, and complex prompts

2.3Model Evaluation & Cards

Creating documentation for model performance and ethical considerations

2.4Ethical Chatbot Design

Developing responsible conversational agents with ethical guidelines

3
Visual & Narrative AI Creation

Creating visual content and interactive narratives with AI assistance

4 lessonsExpand module 3

3.1Creative Image Generation

Using text-to-image tools like Midjourney to create compelling visuals

3.2Interactive Storytelling with Twine

Building branching narratives and interactive fiction with AI support

3.3Document Synthesis

Using NotebookLM to organize and synthesize information from various sources

3.4Visual Design with Signtown

Creating dynamic digital signatures and generative visual elements

4
Audio & Multimedia Generation

Producing audio content, music, and narration with generative AI tools

4 lessonsExpand module 4

4.1Podcast Audio Generation

Converting synthesized text into engaging podcast-style audio content

4.2Music Composition

Creating original music and soundscapes using AI composition tools

4.3Voice Synthesis

Generating natural-sounding voices for narration and characters

4.4Multimedia Integration

Combining audio, visual, and textual elements into cohesive AI projects

5
AI Project Development

Building a comprehensive AI application from concept to prototype

4 lessonsExpand module 5

5.1Project Planning

Defining project goals, scope, and methodology for your AI application

5.2Component Development

Building individual features and modules for your application

5.3Integration & Testing

Combining components and ensuring they work together effectively

5.4User Experience Design

Creating intuitive interfaces and interactions for your AI application

6
Deployment & Presentation

Finalizing and showcasing your generative AI application

4 lessonsExpand module 6

6.1Deployment Strategies

Implementing your AI solution in a production-ready environment

6.2Quality Assurance

Testing your application for reliability, security, and performance

6.3Documentation

Creating comprehensive guides for users and future developers

6.4Final Project Showcase

Presenting your complete AI application and demonstrating its capabilities

Key Benefits

Generative AI expertise

Students will work with cutting-edge AI models

Creative AI applications

Students will build innovative AI solutions

Deployment knowledge

Students will learn to deploy AI solutions

Course Details

Information about this course

Duration

24 lessons

Session Length

1 hour

Learning Mode

HYBRID

Age Group

13+