1434 Google courses delivered Online

This digital Marketing course is for anyone looking to advance in this area. It will provide you with the information and abilities required to succeed in digital marketing. The fundamentals of digital marketing are covered first in our course before moving on to more sophisticated material. As a result, every lesson in this digital marketing course is clear and simple. Main course: Digital Marketing You'll get 2 more CPD Accredited course: Course 01: Social Media Marketing Course 02: Complete Email Marketing Digital Marketing Course Learning Outcomes: Grow an Online Business From the Ground Up Earn income from affiliate marketing Hired as a Digital Marketing Professional Become a Freelance Marketer and Work From Home Key Feature of Digital Marketing course: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee Course Topics: Digital Marketing Section: Introduction How to Apply the Internet Marketing Process The Internet Marketing Strategies That Will Increase Your Sales Creating an Internet Marketing Strategy for Your Business Structuring and Auditing of Website Social Media Marketing Section: Social Marketing Intro Marketing On Facebook & Instagram Marketing On Twitter & YouTube Intro To Pinterest Marketing LinkedIn Marketing Intro Intro To Split Testing Intro To Funnel Building Email Marketing Section: Entrepreneur Mindset Masterclass How to Start and Grow an Email List Creating Email Lists Email Automation, Copywriting & Deliverability The Concepts of Email Marketing Using Capture Pages and Funnels for Leads Conclusion CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Digital Marketing course. Requirements To enrol in this Digital Marketing course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing course, you can explore trendy and in-demand jobs related to Digital Marketing. Social Media Manager: £25,000 to £45,000 per year Digital Marketing Specialist: £28,000 to £50,000 per year Email Marketing Manager: £30,000 to £55,000 per year Content Marketing Coordinator: £22,000 to £40,000 per year Digital Marketing Analyst: £26,000 to £45,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included 3 CPD Accredited PDF Certificate Hard copy certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate for £9.99 each. Delivery Charge: Inside the UK: Free Outside of the UK: £9.99

Use SharePoint® 2010 as More Than Just a Document Repository to Effectively Manage Projects Have you implemented Microsoft SharePoint 2010, but are just using it as a document repository? This video provides tips and tricks to leverage SharePoint for planning, communicating, and collaborating as a project team. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Use SharePoint® 2010 as More Than Just a Document Repository to Effectively Manage Projects Have you implemented Microsoft SharePoint 2010, but are just using it as a document repository? This video provides tips and tricks to leverage SharePoint for planning, communicating, and collaborating as a project team. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

The New Normal in Project Management: It's All About the Benefits For many organizations traditional project management is dead. Measuring project success based solely on the triple constraints ignores what's most important about a project: the benefits and value the project should deliver. In this new normal, where organizations rely on project managers to deliver value, not just deliverables, we need better planning, knowledge of change management practices, and most importantly, ways to collaborate with our business partners to make sure we get the job done correctly. LeRoy will provide his insight into the best ways organizations and project managers can, and should, work together to make it all happen. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

The Project Management Odyssey Project Management is composed of many elements. So many, in fact, that it is hard at times to get the big picture. There are more than 100,000 books on Amazon under Project Management. There are three main certification bodies and the latest version of the US standard, PMI's PMBOK® Guide is composed of 5 process groups, 10 knowledge areas and 47 steps. The complexity needs to be simplified. For this presentation, we have gone back to one of the original stories by Homer - the Odyssey. Odysseus and his men were tired after 10 years of fighting and looking forward the journey home. This idea of a journey is at the heart of each and every project. A journey to somewhere else, another place. A beginning, a middle, and an end. We will use this journey to illustrate the correct way to approach any project. In doing so we hope to assist you in retaining the key ingredients for doing projects better in your equally challenging environment. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

The Project Management Odyssey Project Management is composed of many elements. So many, in fact, that it is hard at times to get the big picture. There are more than 100,000 books on Amazon under Project Management. There are three main certification bodies and the latest version of the US standard, PMI's PMBOK® Guide is composed of 5 process groups, 10 knowledge areas and 47 steps. The complexity needs to be simplified. For this presentation, we have gone back to one of the original stories by Homer - the Odyssey. Odysseus and his men were tired after 10 years of fighting and looking forward the journey home. This idea of a journey is at the heart of each and every project. A journey to somewhere else, another place. A beginning, a middle, and an end. We will use this journey to illustrate the correct way to approach any project. In doing so we hope to assist you in retaining the key ingredients for doing projects better in your equally challenging environment. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.

Let's Help Them to Help Themselves - Through Project Management This video illustrates the application of project management to a humanitarian program created to improve childhood conditions in one of the poorest countries in the world and teach children solidarity and respect for others. All of this is achieved through the diffusion of the PM methodologies, both in Congo and in Italy. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Accredited Project Management Diploma for Project Manager Embark on a comprehensive journey to mastery in project management with our Accredited Project Management Diploma. This course is meticulously crafted to equip you with a profound understanding of essential project management aspects, including setting up a Project Management Office, defining project goals and scope, conducting risk assessments, and effectively allocating resources. Learning Outcomes: Understand the role and structure of a Project Management Office in project management. Learn the process of defining clear and achievable project goals in project management. Master the art of conducting thorough risk assessments in project management. Develop the skill to define and manage project scope effectively in project management. Gain expertise in allocating and managing project resources efficiently in project management. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Accredited Project Management Diploma: Project Management Office: Explore the functions, benefits, and best practices for establishing and running a Project Management Office. Defining Project Goals: Learn how to set clear, measurable, and attainable goals for successful project outcomes in project management. Doing Risk Assessment: Master the techniques of identifying, analyzing, and mitigating risks in project management. Defining Project Scope: Understand the importance of accurately defining project scope to ensure project objectives are met within constraints in project management. Allocating Project Resources: Gain insights into effective resource allocation strategies, including budgeting, scheduling, and resource optimization in project management.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions