18396 AI courses

Decision Making and Problem Solving: In-House Training We may live in an era of fast technology and increasing reliance upon automation, but our human abilities to think critically, make careful decisions, and solve nuanced problems are more important than ever. Our personal lives depend on those things, and so do the lives of our organizations. Since business is now conducted at remarkable speeds, we put our organizations at great risk daily when we have weak competencies with decision-making and problem-solving. Decisions and solutions that are executed impulsively and without structured approaches can create more problems or make existing ones worse! This course aims to help participants improve their skills so they can execute well and add value to the workplace. Learners will experience multiple decision-making and problem-solving models, tools, and techniques meant for the real world. They will learn how to align their growing toolboxes with the right situational contexts so that they can transfer that skill to the workplace. They will also discover how indecision, cognitive bias, and default thought processes can create obstacles to effective decision-making and problem-solving. What you will Learn Recognize the importance of making a sound decision in a timely manner Infer types of cognitive biases and obstacles that impact decision-making Separate facts, requirements, ideas, and perceptions when making a decision or solving problems Apply structured decision-making and problem-solving approaches Conduct cause and effect and Force Field analyses Evaluate alternative solution methods using various techniques Analyze real world situations to determine the best aligned decision-making and problem-solving models, tools, and techniques Implement decision-making and problem-solving models, tools, and techniques Foundation Concepts Contextualizing decisiveness and problem-solving Discriminating between decisiveness and problem-solving Understanding Decision-Making Decision-making challenges and impacts Key drivers of good decision-making Thought processes and obstacles Knowledge, skills, and abilities (KSAs) Decision-Making Models and Supporting Tools Decision-making models, tools, and guidelines Tools to evaluate alternatives Translating requirements into action Problem-Solving Defining the problem Problem-solving models Cause and effect analysis Quick hit vs. innovative problem-solving Summary and Next Steps Course summary Personal action plan

The aim of this course is to ensure drivers will have a better understanding of safe loading practices, how to deal with certain types of loads, enabling safer working environments through the demonstration of a more defined knowledge. What's included? Access to course materials. A hard copy is provided on arrival. Driver CPC Approved: 7hrs Free parking, lunch & refreshments Courses Details Location: H-TEC Group, Unit 8 Horsepool Grange, Elliotts Lane, Stanton Under Bardon, Markfield, Leicestershire, LE67 9TW Schedule: Courses run from 09:00 to 16:00. Please review our training terms and conditions.

WiFi demystified training course description A concise overview aimed at less technical staff requiring an overview of WiFi networks. The course covers the technologies at a high level allowing delegates to discuss WiFi networks with others recognising the buzzwords used. The course will also allow the delegates to recognise the issues involved in planning and installing WiFi networks as well as securing them. What will you learn Recognise the different WiFi technologies available. Describe the architecture of WiFi networks including the role of Access Points. Recognise the distance limitations of WiFi networks. Describe the buzzwords used in WiFi. Recognise the security issues of WiFi networks. WiFi demystified training course details Who will benefit: Anyone working with WiFi networks. Prerequisites: None. Duration 1 day WiFi demystified training course contents Introduction When to use wireless, when to use wired, WiFi technologies: 802.11, 802.11a, 802.11b, 802.11g, 802.11n, WiFi speeds and distances, comparison to other wireless technologies, 802.15 (Bluetooth), 802.16 (WiMax). Simple WiFi networks Network cards, Antennae, Access Points, WiFi routers. Enterprise WiFi networks SSIDs, Multiple WiFi networks, Repeaters, Wireless bridges, Controller based access points, Wireless switches, Power Over Ethernet. RF site surveys Steps and techniques, tools, analysing the feasibility of WiFi, range, performance, roaming. Security How safe are WiFi networks? Encryption, Authentication, WEP WPA WPA2. 802.1x, EAP, RADIUS.

ProQual NVQ Level 3 Diploma - Testing, Inspecting and Thorough Examination of Plant, Machinery, Equipment or Accessories - on-site assessment - we come to you

NVQ Level 3 Plant Maintenance - on-site assessment - we come to you

NVQ Level 2 Plant Maintenance - on site assessment - we come to you

Ever wondered how machines recognise faces, detect traffic signs, or even tag photos with uncanny accuracy? This course dives straight into the heart of Convolutional Neural Networks (CNNs) – the very engine behind image recognition and deep learning breakthroughs. With a clear focus on project-based learning, you’ll explore how CNNs work, how they’re built, and how they’re trained to see and interpret the world digitally. The content flows logically and stays rooted in clarity, making even the most complex architectures feel almost polite. This is not just a sequence of slides and jargon. It’s a well-structured digital journey tailored for learners who want to confidently grasp how deep learning models behave and evolve. Whether you're brushing up on your neural network knowledge or aiming to reinforce your AI expertise, the course serves up algorithms, code walkthroughs and layered insights with a tone that’s informative, direct, and occasionally dry-witted. If you fancy turning raw data into pixel-level predictions using nothing but code, logic, and neural layers — you’re exactly where you need to be. Learning Outcomes: Gain a solid understanding of convolutional neural networks and their applications in deep learning. Learn how to install the necessary packages and set up a dataset structure for deep learning projects. Discover how to create your own convolutional neural network model and layers using Python. Understand how to preprocess and augment data for advanced image recognition tasks. Learn how to evaluate the accuracy of your models and understand the different models available for deep learning projects. The Deep Learning Projects - Convolutional Neural Network course is designed to provide you with the skills and knowledge you need to build your own advanced deep learning projects. Using Python, you'll learn how to install the necessary packages, set up a dataset structure, and create your own convolutional neural network model and layers. You'll also learn how to preprocess and augment data to enhance the accuracy of your models and evaluate the performance of your models using data generators. Deep Learning Projects - Convolutional Neural Network Course Curriculum Section 01: Introduction Section 02: Installations Section 03: Getting Started Section 04: Accuracy How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and convolutional neural networks. Programmers who want to learn how to build advanced models for image recognition. Entrepreneurs who want to develop their own deep learning-based applications for image recognition. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of convolutional neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Computer Vision Engineer: £30,000 - £70,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Prepare to amaze yourself, and your friends, with the beautiful canoe you will build here.. and Yes! You do take your canoe home with you when you leave. First Day The first stage in the process is to cut out the marine ply panels, and sew these together using cable ties as seen here. This is a fun stage, and you quickly see your canoe coming together. Children often opt to be involved at this stage. Not all children decide to be with us for the slower paced sections of the build. Second Day The second day is mainly taken up with cutting, planing, sanding and fitting the seats ( the Thwarts). At the end of the second day we aim to apply the first coat of resin, to the inside of your canoe, along with glassfibre tape ro reinforce the seams.  Third Day  Most of the third day is taken up with preparing the outside of your canoe for the resin and tape. This involves a lot of patient planing and sanding, The whole boat gets two coats of resin inside and out, and all the seams are reinforced with glassfibre tape on the outside too. If the weather is nice, we like to apply the resin outdoors, as seen here. View the full process here.

This level 3 award first aid at work training course helps you comply to first aid training requirements. We are based in Crawley West Sussex but will head anywhere in the UK fo a group of upto 12 people.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.