77 AI (Artificial Intelligence) courses

Thinking about learning more about the data you are using in your job and how to present this? The BCS Foundation Award in Data Visualisation teaches how data is used to make decisions in an organisation and the importance of presenting accurate data in a way that enables decision making to happen.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. EXPLORING AI * AI-Initiatives * The Priority: Excellence * AI- Intelligence Types * The Machine Learning Types * The Quality Learning Initiative * The Inception in Academics * AI - Importance & Applications * The Re-visit * Learning Re-visited via AI * Teaching in the world of AI * Exploring AI for Self-Development * AI In Academics Beyond Academics INTRODUCTION TO MACHINE LEARNING * What is Machine Learning? * Why Machine Learning? * Examples - Algorithms behind Machine Learning INTRODUCTION TO DEEP LEARNING * What is Deep Learning? * Why Deep Learning? * Example - Deep Learning Vs Machine Learning INTRODUCTION TO DATA SCIENCE * What is Data Science? * Why Data Science? * Examples - Use Cases of Data Science ARTIFICIAL INTELLIGENCE (AI) IN SOFTWARE TESTING * What is AI in Software Testing? * The Role of AI Testing * Why do we Need AI in Software Testing? * Pros and Cons of AI in Software Testing * Applications of AI in Software Testing * Is it time for Testers or QA Teams to worry about AI? * Automated Testing with Artificial Intelligence IMPLEMENTING AI IN TEST AUTOMATION * Training the AI Bots * Challenges with AI-powered Applications * Examples - Real World use cases using Artificial Intelligence * Demo - Facial Emotion Detection Using Artificial Intelligence * Demo - Text Analysis API Using Artificial Intelligence * Demo - EYE SPY Mobile App Using Artificial Intelligence INNOVATIVE AI TEST AUTOMATION TOOLS FOR THE FUTURE * Tools used for Implementing AI in Automation Testing * What is NEXT? * AI Test Automation Demo using Testim

This course will transform you from someone who has never thought of coding a website to someone who can create a professional website in an hour using ChatGPT. If you are already a web designer, this will exponentially enhance your productivity. What would take days of work by a professional can now be done by any individual in just a few hours.

Unlock the potential of AI-driven creative writing with our QuillBot AI Masterclass. Elevate your writing skills and explore advanced features for flawless content creation.

This comprehensive course unlocks the boundless potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guiding you from AI novice to expert. Dive into 15 different practical projects, from dynamic chatbots to data analysis tools, and cultivate a profound understanding of AI, empowering your journey into the future of language-based applications.

This course will help you learn the programming fundamentals with Python 3. It is designed for beginners in Python and is a complete masterclass. This course will help you understand Python GUI, data science, full-stack web development with Django, machine learning, artificial intelligence, Natural Language Processing, and Computer Vision.

Welcome to this dual-phase course. In the first segment, we delve into neural networks and deep learning. In the second, ascend to mastering Generative Adversarial Networks (GANs). No programming experience required. Begin with the fundamentals and progress to an advanced level.

Duration 3 Days 18 CPD hours This course is intended for The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) ETHICAL AND SUSTAINABLE HUMAN AND ARTIFICIAL INTELLIGENCE (AI) * Recall the General Definition of Human and Artificial Intelligence (AI) * Describe what are Ethics and Trustworthy Artificial Intelligence (AI) * Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals * Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' * Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) ARTIFICIAL INTELLIGENCE (AI) AND ROBOTICS * Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description * Describe what a Robot is * Describe what an intelligent Robot is APPLYING THE BENEFITS OF ARTIFICIAL INTELLIGENCE (AI) ? CHALLENGES AND RISKS * Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations * Explain the Benefits of Artifical Intelligence (AI) * Describe the Challenges of Artificial Intelligence (AI) Projects * Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects * List Opportunities for Artificial Intelligence (AI) * Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) STARTING ARTIFICIAL INTELLIGENCE (AI): HOW TO BUILD A MACHINE LEARNING (ML) TOOLBOX ? THEORY AND PRACTICE * Describe how we Learn from Data - Functionality, Software and Hardware * Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality THE MANAGEMENT, ROLES AND RESPONSIBILITIES OF HUMANS AND MACHINES * Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together * List Future Directions of Humans and Machines Working Together * Describe a ''Learning from Experience'' Agile Approach to Projects

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.

Duration 0.5 Days 3 CPD hours This course is intended for This course is primarily designed for business leaders, consultants, product and project managers, and other decision-makers who are interested in growing the business by leveraging the power of AI. Other individuals who wish to explore basic AI concepts are also candidates for this course. This course is also designed to assist students in preparing for the CertNexus AIBIZ™ (Exam AIZ-210) credential. Overview In this course, you will identify ways in which AI can bring significant value to the business. You will: Describe AI fundamentals. Identify the functions of AI in business. Implement business requirements for AI. Artificial intelligence (AI) is not just another technology or process for the business to consider?it is a truly disruptive force, one that delivers an entirely new level of results across business sectors. Even organizations that resist adopting AI will feel its impact. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI. This course is designed to help business professionals conquer and move beyond the basics of AI to apply AI concepts for the benefit of the business. It will give you the essential knowledge of AI you'll need to steer the business forward. LESSON 1: AI FUNDAMENTALS * Topic A: A Brief History of AI * Topic B: AI Concepts LESSON 2: FUNCTIONS OF AI IN BUSINESS * Topic A: Improve User Experiences * Topic B: Segment Audiences * Topic C: Secure Assets * Topic D: Optimize Processes LESSON 3: IMPLEMENTING BUSINESS REQUIREMENTS FOR AI * Topic A: Identify Design Requirements * Topic B: Identify Data Requirements * Topic C: Identify Risks in Implementing AI * Topic D: Develop an AI Strategy