Artificial Intelligence AI Masterclass E-Learning Training

De populariteit van kunstmatige intelligentie (AI) groeit razendsnel. Industrieën implementeren AI omdat het menselijke acties kan repliceren, maar het sneller en nauwkeuriger doet. Deze reis leert je de vaardigheden die nodig zijn om van een AI-leerling naar een AI-architect te gaan.

ARTIFICIAL INTELLIGENCE - AI APPRENTICE TO AI ARCHITECT

Dit pakket, met meer dan 27 uur leren, bevat de volgende collecties:

• AI and ML for Decision-makers
• Developing AI and ML Solutions with Java
• Developing AI and Machine Learning Solutions with Python
• Practical ChatGPT

AI and ML for Decision-makers
Data science methods are used across several industries to deliver value to businesses. Machine learning (ML) is a data science method that uses prediction algorithms that find patterns in massive amounts of data, allowing machines to predict future results and make decisions with minimal human intervention. Artificial intelligence (AI) provides cutting-edge tools to help organizations predict behaviors, identify key patterns, and drive decision-making in a world that is increasingly made up of data.

Track 1: Fundamentals of AI and ML

• Fundamentals of AI & ML: Foundational Data Science Methods
• Fundamentals of AI & ML: Advanced Data Science Methods
• Fundamentals of AI & ML: Introduction to Artificial Intelligence

Track 2: Developing an AI/ML Data Strategy

• Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
• Developing an AI/ML Data Strategy: Building an AI-powered Workforce
• Developing an AI/ML Data Strategy: Data Analytics & Data Ethics

Track 3: Visualizing Data for Impact

• Visualizing Data for Impact: Introduction to Data Visualization
• Visualizing Data for Impact: Visual Design Theory
• Visualizing Data for Impact: Analyzing Misleading Visualizations
• Visualizing Data for Impact: Data Storytelling

Track 4: Cloud Computing and MLOps in AI/ML

• Cloud Computing and MLOps: Cloud and AI
• Cloud Computing and MLOps: Introduction to MLOps
• Cloud Computing and MLOps: ML Pipelines

Assessment:

Final Exam: AI and ML for Decision-makers

Developing AI and ML Solutions with Java
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent systems used to help enterprises manage the increasing complexity of their business. This learning path covers the concept of AI including machine learning (ML), deep learning, and expert systems using Java libraries.

• AI Fundamentals
• Machine Learning Implementation
• Neural Network & Neuroph Framework
• Neural Network & NLP Implementation
• Expert Systems & Reinforcement Learning

Developing AI and Machine Learning Solutions with Python
Artificial Intelligence (AI) is an approach adopted by machine learning (ML) and Python and is one of the most popular languages used to implement machine learning. This learning path includes detailed information on the implementation of machine learning and deep learning algorithms using Python and various other related frameworks. This learning path also covers the concept of robotic process automation (RPA) implementation using Python.

• Machine Learning & Data Analytics
• Supervised, Unsupervised & Deep Learning
• Deep Learning & Neural Network Implementation
• Implementing ML Algorithm Using scikit-learn
• Implementing Robotic Process Automation

Practical ChatGPT

As we navigate the evolving landscape of Artificial Intelligence (AI), one technology stands out due to its potential to redefine our approach to learning and development - ChatGPT, a sophisticated language model developed by OpenAI.
This LearningKIT provides learners with a thorough exploration of ChatGPT, starting with an introduction to large language models and their capabilities, the series progresses through practical applications, advanced techniques, industry impacts, and important ethical considerations. Each course aims to equip learners with an in-depth understanding of the model, its functionality, and its wide-ranging applications.

ChatGPT Overview

In this ChatGPT learning, the focus will be on understanding the ChatGPT model and using it for text and code generation through effective prompt engineering. Learners will get hands-on experience with real-world examples, improving their proficiency in creating efficient prompts. Learners will also examine the model's potential impact across various industries and the importance of addressing ethical, privacy, and intellectual property concerns in AI applications. The journey will conclude with learners having the opportunity to apply what they've learned by building a Python-based, AI-driven application to analyze sentiment in a social media feed.

E-learning Courses:

• ChatGPT & Its Practical Use Cases
• ChatGPT Prompt Engineering Examples & Use Cases
• Creating Advanced ChatGPT Prompts
• ChatGPT's Impact on Various Industries
• Ethical, Privacy, & Intellectual Property Considerations for ChatGPT
• The Role of ChatGPT in Shaping Our Future

Leadercamp on-demand:

Exploring Generative AI and ChatGPT

In this Leadercamp, Professor Jonathan Reichental, a Silicon Valley executive and educator, will provide valuable insights on Generative AI and ChatGPT, including tips and tricks to leverage its value. He will also explore emerging examples and case studies that will inspire you. Finally, he will review some risks and challenges and give you a sneak peek at what the future of AI may hold.

Leading with Generative AI

In this Leadercamp, Data Society CEO Merav Yuravlivker offers a comprehensive overview of what you need to put in place to power your AI strategy. You'll learn what generative AI is and the potential vulnerabilities it can create. You'll hear about real case studies of organizations implementing generative AI, both for better and for worse. You'll learn key definitions of AI and ML techniques, the tremendous opportunities made available by leveraging this technology, and some key frameworks and guidelines that you need to put in place to lead your industry into the future.

Tips and Tools for Generative AI Success

In this Leadercamp, Dr. Jonathan Reichental, a Silicon Valley executive and educator, provides hands-on, practical guidance to understand the full capabilities of ChatGPT, Google Bard, and Bing Chat. He demonstrates powerful techniques that you can try and covers a wide range of prompt engineering tips that will inspire ideas you can use right away in your work. This highly practical session will provide you with valuable new skills.