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- User Authentication
- Michele Aversano's Credentials
- Michele Aversano's Wallet
- Getting Started with Large Language Models (LLMs)
- Generative Modeling Foundations
- An Introduction to Generative AI Concepts
- AI-powered Visuals in Power BI
- AI for Software Engineers: Transform
- AI for Software Engineers
- Training Machine Learning Models in Power BI
- Leveraging AI Insights & Text Analytics in Power BI
- AI for Data Analytics & BI: Activate
- AI for Software Engineers: Accelerate
- Exploring Prompt Engineering Techniques
- Case Studies in Prompt Engineering
- AI for Software Engineers: Activate
- AI for Programmers: Activate
- Getting Started with Prompt Engineering
- Deep Learning and Neural Networks
- Artificial Intelligence and Machine Learning
- An Introduction to GPT Models
- Introduction to Transformers
- An Introduction to Generative AI
- Track 1: Introduction to Hugging Face
- Track 2: Introduciton to PyTorch
- Track 3: Introduction to Transformers with Hugging Face
- Track 5: Deep Learning Applications
- Track 3: Regression and Classification with Neural Networks
- Track 4: Image Classification with Neural Networks
- Deep Learning Fundamentals
- Track 2: Implementing Neural Networks in TensorFlow
- Track 1: Deep Learning Foundations
- AI Apprentice to AI Architect
- AI Architect
- Explainable AI
- Evaluating Current and Future AI Technologies and Frameworks
- Final Exam: AI Architect
- Leveraging Reusable AI Architecture Patterns
- AI in Industry
- Elements of an Artificial Intelligence Architect
- AI Enterprise Planning
- AI Practitioner
- AI Practitioner: BERT Best Practices & Design Considerations
- AI Practitioner: Practical BERT Examples
- Using Intelligent Information Systems in AI
- Extending Amazon Machine Learning
- Final Exam: AI Practitioner
- Working With the Keras Framework
- Using Apache Spark for AI Development
- The AI Practitioner: Optimizing AI Solutions
- The AI Practitioner: Role & Responsibilities
- The AI Practitioner: Tuning AI Solutions
- Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)
- Deep Learning & Neural Network Implementation
- AI Developer
- Working with Google BERT: Elements of BERT
- Final Exam: AI Developer
- AI Framework Overview: Development Frameworks
- Introducing Apache Spark for AI Development
- Keras - a Neural Network Framework
- Implementing AI Using Cognitive Modeling
- Working With Microsoft Cognitive Toolkit (CNTK)
- AI Framework Overview: AI Developer Role
- Implementing AI With Amazon ML
- Applying AI to Robotics
- AI Apprentice
- Cognitive Models: Approaches to Cognitive Learning
- Final Exam: AI Apprentice
- Computer Vision: AI & Computer Vision
- Computer Vision: Introduction
- Cognitive Models: Overview of Cognitive Models
- Python AI Development: Practice
- Python AI Development: Introduction
- Artificial Intelligence: Human-computer Interaction Methodologies
- Artificial Intelligence: Basic AI Theory
- Artificial Intelligence: Types of Artificial Intelligence
- Artificial Intelligence: Human-computer Interaction Overview
- Getting Started with Neural Networks: Biological & Artificial Neural Networks
- Michele Aversano's Transcript
- Michele Aversano's Wallet
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