A Technical Introduction to Artificial Intelligence
This is an introductory course intended for students who seek an overall understanding of AI concepts, including Machine Learning, Deep Learning, GPT models, and AGI. It provides a detailed overview of AI concepts, core services, security, architecture, and support.
Prerequisites
- There are no prerequisites for this training
Contents
Introduction to AI
- Defining Artificial Intelligence
- Brief history of AI
- Differences between AI, Machine Learning, and Deep Learning
- Real-world applications of AI
- Future perspectives on AI
Basics of Machine Learning
- Defining Machine Learning
- Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
- Machine Learning algorithms overview
- Real-world applications of Machine Learning
Introduction to Deep Learning
- Defining Deep Learning
- Neural Networks and Deep Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)
- Real-world applications of Deep Learning
GPT Models and AGI
- What are GPT models?
- Understanding Generative Pre-training
- Introduction to AGI (Artificial General Intelligence)
- Differences between Narrow AI and AGI
- Real-world applications and future of GPT models and AGI
AI Technologies Overview
- Overview of AUTO-GPT
- Introduction to Langchain
- Basics of Vector Databases
- Introduction to Pandas and data manipulation
- How these technologies fit in the AI ecosystem
AI Security and Ethics
- Security concerns with AI and AGI
- Introduction to AI Ethics: fairness, accountability, transparency
- Ethical considerations in developing and deploying AI models
- Case studies on AI Ethics
AI Architecture and Support
- Basics of AI system architecture
- Understanding cloud-based AI: benefits and challenges
- Overview of AI support tools and resources
- Importance of community in AI development and learning
AI Careers and Certification Pathways
- Overview of careers in AI
- Importance of industry-recognized certifications
- Pathways to advanced AI learning
