7617 Insights courses in Edinburgh delivered Online

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Level 2 QLS Endorsed Diploma | 100 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 3 Days 18 CPD hours This course is intended for The intended audience for this course is experienced web developers who are new to User Experience (UX) and Responsive Design principles. These professionals typically have a solid understanding of front-end development technologies such as HTML, CSS, and JavaScript but seek to expand their skillset to create more user-centric, adaptable, and accessible web experiences. Roles that would benefit from this course include: Front-end Web Developers Full-stack Developers Web Designers Team Leads and Project Managers Freelance Web Developers Overview Working in a hands-on learning environment led by our expert UX coach, you'll learn to: Understand and apply UX principles and user-centered design processes: Participants will learn to identify the needs and preferences of users, create user personas, and apply UX best practices to develop intuitive, user-friendly web experiences. Design and implement responsive web layouts: Participants will gain the skills to create fluid grid layouts, use flexible images, and apply media queries to design web pages that adapt seamlessly across various devices and screen sizes. Optimize web performance for responsive designs: Participants will learn techniques to improve website performance, including image optimization, responsive images, and minification and concatenation of assets, ensuring a fast and smooth user experience across devices. Implement accessible web designs: Participants will understand the importance of accessibility in web design and learn to apply WCAG principles and accessible design patterns to create websites that are usable by a wide range of users, including those with disabilities. Collaborate effectively with designers, developers, and stakeholders: Participants will gain insights into design collaboration and handoff processes, enhancing their ability to communicate design decisions, provide and receive feedback, and work efficiently with team members and clients. In today's fast-paced digital world, user-centric and adaptable websites are no longer a luxury ? they're a necessity. By embracing UX and responsive design, you'll unlock the potential to elevate your websites, boosting user satisfaction and engagement. This, in turn, leads to higher conversion rates and a stronger online presence for your clients or organization, as well as better collaboration within your team, bridging the gap between designers, developers, and stakeholders.UX Design & Responsive Design for Experienced Web Developers is a three day, engaging hands-on workshop designed to equip you with the latest skills and best practices in User Experience (UX) and Responsive Web Design required to create seamless, user-friendly websites that adapt effortlessly across devices. This course will immerse you in the latest skills, best practices, and hands-on activities, empowering you to create exceptional, accessible websites that excel across devices and captivate users. Throughout the program you?ll explore the fundamentals of UX and responsive design, including user-centered design processes, mobile-first and desktop-first approaches, and design techniques for various devices and screen sizes. You'll gain practical experience creating responsive layouts, optimizing performance, and implementing accessible web designs, all while leveraging popular frameworks and design tools. You'll also gain valuable insights into performance optimization, accessibility, and collaboration strategies, ensuring you have the complete toolkit to excel in your field.By the end of this workshop, you?ll have gained a solid understanding of UX and responsive design principles, as well as hands-on experience in applying these concepts to real-world projects. You?ll be able to create more user-friendly, responsive, and accessible websites, and collaborate more effectively with your design and development teams. Introduction to UX and Responsive Design: Understanding User Experience What is UX? Importance of UX in web development UX principles and best practices User-centered design process Responsive Web Design Basics What is Responsive Web Design? Importance of Responsive Design in modern web development Fluid grid layout, flexible images, and media queries Hands-on Activity: Creating a Responsive Layout Designing a simple responsive layout using HTML, CSS, and media queries Breakdown and explanation of the code Testing responsiveness across different devices Mobile-first vs. Desktop-first Approaches Pros and cons of each approach Deciding which approach to use Designing for Different Devices and Screen Sizes Common breakpoints and device considerations Accessibility and usability across devices Typography, color, and other design elements in responsive design Hands-on Activity: Designing for Different Devices Modifying the previously created responsive layout to optimize for various devices Discussion and feedback on designs Advanced UX and Responsive Design Techniques: UX Research and Testing Importance of UX research Usability testing and user feedback A/B testing and heatmaps Navigation and Information Architecture Designing effective and user-friendly navigation Organizing content and information Common navigation patterns in responsive design Hands-on Activity: Designing Navigation for Responsive Websites Adding navigation elements to the previously created responsive layout Testing navigation on different devices and screen sizes Discussion and feedback on navigation designs Responsive Web Design Frameworks and Tools Overview of popular frameworks (Bootstrap, Foundation, etc.) Pros and cons of using frameworks Introduction to design tools (Sketch, Figma, Adobe XD) Hands-on Activity: Exploring Frameworks and Tools Experimenting with a chosen framework or design tool Redesigning the responsive layout using the selected framework/tool Sharing experiences and discussing the benefits and drawbacks UX and Responsive Design Best Practices: Design Patterns and UI Components Common design patterns in responsive web design Designing reusable UI components Consistency and usability in UI components Performance Optimization Importance of performance in responsive design Image optimization and responsive images Minification and concatenation of assets Hands-on Activity: Optimizing Performance (1.5 hours) Applying performance optimization techniques to the responsive layout Testing the improvements in performance Sharing results and discussing best practices Accessibility in UX and Responsive Design Importance of accessibility in web design Accessibility principles (WCAG) Accessible design patterns and techniques Hands-on Activity: Evaluating and Improving Accessibility Assessing the accessibility of the responsive layout Implementing accessibility improvements Testing and discussing the results Design Collaboration and Handoff Collaborating with designers, developers, and stakeholders Effective communication and documentation Design handoff tools and techniques Hands-on Activity: Simulating Design Handoff Participants will work in pairs to simulate a design handoff Reviewing, discussing, and providing feedback on each other's responsive layouts Sharing experiences and lessons learned

Duration 3 Days 18 CPD hours This course is intended for Developers who have some familiarity with serverless and experience with development in the AWS Cloud Overview In this course, you will learn to: Apply event-driven best practices to a serverless application design using appropriate AWS services Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment Build serverless applications using patterns that connect AWS managed services together, and account for service characteristics, including service quotas, available integrations, invocation model, error handling, and event source payload Compare and contrast available options for writing infrastructure as code, including AWS CloudFormation, AWS Amplify, AWS Serverless Application Model (AWS SAM), and AWS Cloud Development Kit (AWS CDK) Apply best practices to writing Lambda functions inclusive of error handling, logging, environment re-use, using layers, statelessness, idempotency, and configuring concurrency and memory Apply best practices for building observability and monitoring into your serverless application Apply security best practices to serverless applications Identify key scaling considerations in a serverless application, and match each consideration to the methods, tools, or best practices to manage it Use AWS SAM, AWS CDK, and AWS developer tools to configure a CI/CD workflow, and automate deployment of a serverless application Create and actively maintain a list of serverless resources that will assist in your ongoing serverless development and engagement with the serverless community This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom. Introduction Introduction to the application you will build Access to course resources (Student Guide, Lab Guide, and Online Course Supplement) Thinking Serverless Best practices for building modern serverless applications Event-driven design AWS services that support event-driven serverless applications API-Driven Development and Synchronous Event Sources Characteristics of standard request/response API-based web applications How Amazon API Gateway fits into serverless applications Try-it-out exercise: Set up an HTTP API endpoint integrated with a Lambda function High-level comparison of API types (REST/HTTP, WebSocket, GraphQL) Introduction to Authentication, Authorization, and Access Control Authentication vs. Authorization Options for authenticating to APIs using API Gateway Amazon Cognito in serverless applications Amazon Cognito user pools vs. federated identities Serverless Deployment Frameworks Overview of imperative vs. declarative programming for infrastructure as code Comparison of CloudFormation, AWS CDK, Amplify, and AWS SAM frameworks Features of AWS SAM and the AWS SAM CLI for local emulation and testing Using Amazon EventBridge and Amazon SNS to Decouple Components Development considerations when using asynchronous event sources Features and use cases of Amazon EventBridge Try-it-out exercise: Build a custom EventBridge bus and rule Comparison of use cases for Amazon Simple Notification Service (Amazon SNS) vs. EventBridge Try-it-out exercise: Configure an Amazon SNS topic with filtering Event-Driven Development Using Queues and Streams Development considerations when using polling event sources to trigger Lambda functions Distinctions between queues and streams as event sources for Lambda Selecting appropriate configurations when using Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams as an event source for Lambda Try-it-out exercise: Configure an Amazon SQS queue with a dead-letter queue as a Lambda event source Writing Good Lambda Functions How the Lambda lifecycle influences your function code Best practices for your Lambda functions Configuring a function Function code, versions and aliases Try-it-out exercise: Configure and test a Lambda function Lambda error handling Handling partial failures with queues and streams Step Functions for Orchestration AWS Step Functions in serverless architectures Try-it-out exercise: Step Functions states The callback pattern Standard vs. Express Workflows Step Functions direct integrations Try-it-out exercise: Troubleshooting a Standard Step Functions workflow Observability and Monitoring The three pillars of observability Amazon CloudWatch Logs and Logs Insights Writing effective log files Try-it-out exercise: Interpreting logs Using AWS X-Ray for observability Try-it-out exercise: Enable X-Ray and interpret X-Ray traces CloudWatch metrics and embedded metrics format Try-it-out exercise: Metrics and alarms Try-it-out exercise: ServiceLens Serverless Application Security Security best practices for serverless applications Applying security at all layers API Gateway and application security Lambda and application security Protecting data in your serverless data stores Auditing and traceability Handling Scale in Serverless Applications Scaling considerations for serverless applications Using API Gateway to manage scale Lambda concurrency scaling How different event sources scale with Lambda Automating the Deployment Pipeline The importance of CI/CD in serverless applications Tools in a serverless pipeline AWS SAM features for serverless deployments Best practices for automation Course wrap-up Additional course details: Nexus Humans AWS Developing Serverless Solutions on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AWS Developing Serverless Solutions on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Learn all about Microsoft identity and Azure security the right way with tons of lab exercises. A course that aims to prepare students for the prestigious SC-300: Microsoft Identity and Access administrator exam. The course adheres to the new curriculum and objectives.

Empower your school with inclusive practices for SEND. This course covers understanding SEND, the Code of Practice, safeguarding, and creating an accessible learning environment, ensuring every child’s needs are met. Ideal for educators and administrators in both domestic and international schools.

Master Portable Appliance Testing with our comprehensive course. Learn appliance safety, electrical principles, testing protocols, and risk assessment to ensure equipment safety and compliance. Ideal for professionals in safety and maintenance roles.

This Advanced Diploma in Coaching and Mentoring is designed to equip you with the knowledge and skills of coaching and mentoring. You will learn the skills, techniques and in depth insights of mentoring. In the role of mentor, you will contract and develop with your client a highly personal yet professional relationship that is creative, dynamic and intentional resulting in a positive outcome. Why choose this course Earn a digital Certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £99. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets Upon successful completion of the course, you will be able to obtain your course completion PDF Certificate at £9.99. Print copy by post is also available at an additional cost of £15.99 and the same for PDF and printed transcripts. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment To successfully complete the course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for Quality Licence Scheme endorsed certificate of achievement. To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support. Who is this course for? The Advanced Diploma in Coaching and Mentoring is aimed at anyone wishing to start working in such roles, or existing professionals wishing to boost their skills and employability. Our courses are open to learners of all levels with no formal experience or qualifications required to enrol. However, learners should be aged 16 or over and have a good understanding of English language, numeracy and IT. Career path Studying this course would benefit a range of careers, but would specifically boost employability in roles such as Coach Development Instructor Facilitator Life Coach Life Consultant Mentor Talent Coach Course Contents Introduction to Coaching and Mentoring Coaching and Mentoring Objectives and Processes Ethical Aspects of Coaching and Mentoring Coaching and Mentoring Models Effective Communication Skills Personal Skills Management Skills Functional Skills

Google AdWords Beginner to Advanced Overview Ever dreamt of your business shining at the top of Google searches, attracting customers like moths to a flame? That's the magic of Google Ads, and this Google AdWords Beginner to Advanced course is your secret weapon to unlock it. Don't worry if you're new to the game. We'll take you by the hand, starting with the basics and gradually building you up to become a Google Ads mastermind. Whether you're a one-person show or a marketing pro, this Google AdWords Beginner to Advanced course equips you with the knowledge and skills to conquer the online advertising world. Imagine crafting ads that grab attention, target the right people, and bring in results like crazy. That's what you'll learn here. We'll show you how to use cool features like retargeting, automation, and even spy on your competitors. Plus, you'll learn to track your success and tweak your campaigns to get the most out of every penny. And the best part? This Google AdWords Beginner to Advanced course stays ahead of the curve, teaching you the latest tricks and trends in Google Ads. You'll be a marketing ninja, always one step ahead of the game. Ready to take your marketing to the next level and land that dream job? This Google AdWords Beginner to Advanced course is your golden ticket. Enrol now and watch your business skyrocket! Why You Should Choose Google AdWords Beginner to Advanced Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Google AdWords Beginner to Advanced is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Google AdWords Beginner to Advanced is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Google AdWords Beginner to Advanced Introduction 01. Introduction 00:02:00 Testing to Ad Concepts 02. Introduction to Ad Concepts 00:02:00 03. Example Ad Concepts 00:04:00 04. Label Setup 00:04:00 05. Reporting on Ad Concepts 00:08:00 Google Ads Paid % Organic Interaction Report 06. Understanding the usefulness of this report 00:03:00 07. Linking Google Ads with Search Console 00:04:00 08. Excel Report Setup & Pivot 00:04:00 09. Identifying Google Ads & SEO Search Term Opportunities 00:02:00 10. CTR Interaction between SEO & SEM 00:06:00 Geolocal Campaigns - Double Campaign Structure 11. The theory behind the double campaign 00:04:00 12. A practical example inside Google Ads 00:03:00 Google Ads Campaign - Experiments (Drafts & Experiments) 13. Introduction to Drafts & Experiments 00:05:00 14. Example experiment Ideas for use 00:06:00 15. Draft & Experiment Setup 00:10:00 16. Report Analysis & explanation of symbols 00:05:00 Automate Budgeting for Multiple Ad Accounts 17. Introduction to the Google Spreadsheets template 00:02:00 18. Data Inputs 00:04:00 19. Reading the sheet output 00:06:00 AdWords Audit 20. Audit Overview 00:02:00 21. Auditing the Account Structure 00:08:00 22. Campaign Settings 00:04:00 23. Auditing on the AdGroup Level 00:10:00 24. Other Things to look for in an Audit 00:08:00 Remarketing Strategy & Implementation 25. Why Remarketing Works 00:03:00 26. GDN Remarketing 00:06:00 27. Remarketing Lists for Search Ads (RLSA) & IF Statements 00:04:00 28. Customer Match (Email Retargeting) 00:01:00 29. Dynamic Remarketing 00:04:00 30. Lookalike Audiences 00:02:00 31. GDN Banner Sizes & Other Things to Consider 00:03:00 32. Audience List Sharing 00:14:00 33. Remarketing with Events 00:06:00 Artificial Intelligence & Machine Learning 34. What is AI & ML 00:06:00 35. Auto Rotate for Budgets & Ads 00:03:00 36. Dynamic Search Ads 00:03:00 37. Smart Bidding Strategies 00:07:00 38. Lookalike Audiences 00:02:00 39. Data Driven Attribution Models 00:03:00 Dynamic Ad Customisers 40. Introduction to Ad Customisers 00:04:00 41. Advantages & Example Uses 00:05:00 42. Setting up the Business Data Feed 00:06:00 43. Best Practice for Ads 00:03:00 Google Analytics for Google Ads 44. The Advantages of linking AdWords with GA 00:04:00 45. Linking GA & AdWords 00:02:00 46. AdWords Reports in GA 00:01:00 47. GA Conversion Tracking & Goal Setup 00:07:00 48. Remarketing Segments in GA 00:13:00 49. Attribution Models in Google Analytics 00:07:00 Using Scripts 50. Introduction to AdWords Scripts 00:04:00 51. 404 Link Checker Script 00:07:00 52. Experiment Results Script 00:07:00 53. Google Ads Audit Script 00:06:00 AdWords Editor 54. Introduction and advantages of AdWords Editor over the online interface 00:04:00 55. Example Uses for AdWords Editor 00:04:00 56.AdWords Editor - what you can't do 00:02:00 Competitor Research Tools 57.Auction Insights displayed graphically 00:17:00 58.3rd Party Competitor Research Tools -SEMrush 00:16:00 Landing Page Software 59.Why Use Landing Page Software 00:06:00 60.Unbounce Walk-through 00:08:00 61. Tracking integration for landing pages 00:09:00 New Features 62.Ad Variations 00:06:00 63.Search Responsive Ads 00:05:00 64. Life Events Audiences 00:04:00 65. Custom Intent Audiences 00:04:00