137 Social Media courses delivered Live Online

Additional specialist online training for anyone working with couples or helping with relationship issues… Accredited CPD: 4 hours Length: 8.45am–1.00pm (GMT) Live training delivered online – Join Jennifer Broadley on Tuesday 9th July 24 for another jam-packed session live online via Zoom. You will have plenty of opportunities to ask questions. Simply book your place and we will send you email confirmation – your Zoom link will be sent the day before the event. BONUS RECORDING – the training is recorded, in case anyone experiences technical difficulties, so you will also get a recording for 2 weeks afterwards to maximise your learning. Can’t make this date, then please register your interest and we’ll let you know as soon as another date is available. This additional online training session gives us time to look in more depth at narcissism and what a relationship with a narcissist might look like In most cases, applying the skills and techniques learned in the Couples Therapy Online Masterclass is all that’s needed to help a couple move forward in their relationship. But sometimes additional knowledge is needed, as in the case of relationships where narcissism is a suspected factor, to help a therapist assess more quickly and meaningfully the relationship dynamic and specific challenges involved, thus allowing them to help the couple more effectively to find a constructive and compassionate way forward and out of their current difficulties. Why take this course The term ‘narcissist’ is often bandied about and narcissism is frequently covered in the media – but is this language over-used or misused? It’s great that awareness is being raised generally about narcissism and the impacts it can have on a relationship, but it’s important to be well informed. As a result of this increased awareness, more people are seeking information and answers to their own experiences, as well as about the causes of their own relationship difficulties and what they can do about them. As part of that process they may well seek some counselling or therapy so it’s important that, as therapists, our knowledge, skillset and stories are as up-to-date and relevant as possible to best serve our clients. If you already work with couples, in your private practice or employed role, and you want some more detailed insight into narcissism and how to spot it, as well as some of the additional relationship challenges it brings, this live online training is for you.. Jennifer gave a very informative response to my specific request for information relating to narcissismPAULINE, THERAPIST ATTENDING JENNIFER'S 'COUPLES THERAPY' COURSE What will you learn What is a narcissistic personality disorder (NPD) – and what are the criteria for clinical diagnosis What specific unkind or manipulative behaviours in relationships can be classed as narcissism – and when should we really not use that term Why the reports of narcissistic emotional abuse in relationships are significantly on the increase – and how (or whether) this parallels family, relationship and societal changes If it’s not narcissism, what else could be causing the dysfunctional relationship pattern? The truths and myths of the nature vs nurture debate in relation to NPD How to spot narcissism when both partners are in your therapy room How to spot NPD when only one partner is in your therapy room Why it’s usually the co-dependant partner, rather than the one with narcissistic personality traits, that instigates therapy How to support an abused partner to exit a narcissistic relationship – OR to remain in it if he/she won’t or can’t leave How to identify which needs are not being met for one or both partners of a couple – and strategies to quickly change that Tools and checklists to keep your clients emotionally and physically safe as you support a rise in their self-esteem, self-compassion and emotional needs being met more healthily The common language (media and social media) for NPD-related behaviours How to raise children (separately or together) when one parent has NPD – the critical Do’s and Don’ts Additional resources to steer your clients towards – plus recommended reading for you as a therapist And more… You will also have plenty of opportunities to ask questions and benefit from those asked by other people. Who is this course suitable for? Anyone who has previously attended our Couples masterclass 1-day workshop (live or in person). Anyone working with couples, perhaps as a relationship counsellor or through couples therapy, who would like a better understanding of narcissism and NPD, and ideas for helping couples deal with the challenges these bring. Please Note This course is not a substitute for therapy.

Do you hear yourself saying the same thing over and over again? Do you want to bring some new skills to your role? If you have been in a sales role for some time it is easy to fall into a comfortable pattern. This workshop will help you incorporate advanced techniques drawn from NLP, behavioural science and social psychology into your existing skills. This course will help you: Use the consultative sales process to achieve more cross-sales Employ advanced rapport-building skills Assess the buying preferences of a customer Articulate the link between customer goals and needs Identify your customer's needs and wants Use advanced questioning techniques to gather information Resist the temptation to tell when it would be better to ask Identify communication preferences Given various scenarios, present a product to the explicit need of a customer Appreciate the impact of the language used during this stage of the sale and decide what language is appropriate with a variety of customers Handle objections positively Close the sale or gain commitment to further action 1 Introduction Aims and objectives of the training Personal introductions and objectives Self-assessment of existing sales skills Overview of content 2 Understanding yourself and your customers Personal communication style and what this means in a sales situation Wants versus needs What motivates people to buy Using social media tools such as LinkedIn Managing your portfolio to maximise sales Preparing to sell 3 The sales process Overview of the consultative sales process Review personal strengths and weaknesses as a salesperson Habits of top-performing sales people Common pitfalls Articulate sales goals 4 Building rapport 11 decisions that customers make in the first 9 seconds Spotting buyer communication preferences Building rapport with a wide variety of customers Dealing with emotions Keeping control 5 Questioning and listening Assumptions and how they trip us up Structured questioning Looking for cross-sales Honing your listening skills Identifying buyers' motivation Using summaries to move the customer forward 6 Presenting products and services to customers Choosing the right time to present Using features, advantages and benefits Tailoring your presentation of products and services to match buyer preferences and motivations 7 Gaining commitment When to close Dealing with difficult customers 5 things to avoid when handling a customer objection 8 Managing your business The link between service and sales Using customer surveys Winning back lost business 9 Putting it all together Skills practice Personal learning summary and action plans

Duration 3 Days 18 CPD hours This course is intended for This course is designed for project leaders, scrum masters, coaches, product owners, and team members who intend on taking the PMI-ACP© exam. Overview Upon successful completion of this course, you will know: ? Agile principles and practices that will enhance team productivity and improve customer satisfaction ? How to create transparent communication among stakeholders ? How to manage project's scope, schedule and budget in an Agile environment ? How to maximize business value and deliver most value early in the project ? How to build high-performing team ? How to plan at multiple levels and manage stakeholders' expectations ? How to detect, track and resolve risks in an Agile project This course provides participants with a solid foundation of the PMI-ACP© exam. Participants will be introduced to PMI Agile concepts and practices. Introduction to the PMI-ACP© Course and ExamAgile Principles and Mindset Agile project Management Framework: ? What is Agility ? Agile Manifesto ? Agile Principles ? Agile Methodologies: Scrum, Kanban, Extreme programming (XP), Lean ? Agile leadership ? Agile process overview Value-Driven Delivery What is Value-driven delivery, how to deliver value early and minimize waste Assessing Value - Return on Investment (ROI), net present value (NPV), Internal rate of return (IRR), earned value management, managing risk Value Based prioritization ? Customer-Valued prioritization, prioritization schemes (Kano analysis, MoSCoW, relative prioritization / ranking Delivering incrementally ? Minimal Viable Product (MVP), Minimal marketable Feature (MMF), Work In progress (WIP), WIP Limits, Bottlenecks, Cumulative Flow Diagram (CFD) Contracting in Agile projects Verification and validation Stakeholder Engagement Identifying project stakeholders Managing stakeholder engagement Establishing a shared vision ? Agile chartering, Definition of 'Done' (DoD), Agile modelling, wireframes, personas Communication Management ? face to face communication, two-way communication, knowledge sharing, information radiators, social media Working collaboratively ? workshops, brainstorming, collaboration games Interpersonal skills for Agile success ? emotional intelligence, active listening, facilitation, negotiation, conflict resolution, participatory decision making Team Performance Agile team roles High-performing Agile teams ? stages of team development Adaptive leadership Creating collaborative team spaces ? co-located teams, osmotic communication, distributed teams Tracking team performance in Agile teams ? burn charts, velocity Adaptive Planning Defining adaptive planning Principles of Agile planning Tools for sizing and estimating Releases and Iterations planning Problem Detection ?nd Resolution How problems impact a project Detecting problems ? lead time and cycle time, defects, variance analysis, trend analysis, control limits Managing projects threats and issues ? risk-adjusted backlog, risk severity, risk burndown graphs Solving problems Continuous Improvement Multiple levels of improvement ? processes, product, people Implementing continuous process improvement ? process tailoring, systems thinking, process analysis, value stream mapping, project pre-mortems Working towards continuous product improvement ? product feedback loops and learning cycle Leading continuous people improvement ? retrospectives, team self-assessments PMI-ACP© Exam Preparation PMI-ACP© Exam Particulars Overview PMI-ACP© Exam Particulars PMI-ACP© Candidate Requirements PMI-ACP© Candidate Fees PMI-ACP© Exam Application Process

Learn the Basic PhotoshopTraining Course Learn retouching, layers, color, correction, shapes, and symbols. Delve into graphic design, photo editing, and digital art. From beginner to pro, gaining expertise in UX strategies, ensuring your websites are impactful and user-friendly. Click here for more info: Website Duration: 10 hours Approach: 1-on1 sessions and Personalized guidance. Schedule: Customize your schedule by booking a convenient hour, available from Monday to Saturday between 9 am and 7 pm. Module 1: Interface and Preferences Familiarize yourself with the Photoshop Interface Customize Panels and Toolbars to match your workflow Explore Photoshop Preferences to optimize settings Discover various Photoshop CC Workspaces tailored for different tasks Begin with essential Keyboard Shortcuts Module 2: Image File Formats Understand diverse image file formats such as PSD, JPEG, PNG, and PDF Delve into File Compression and its influence on image quality Module 3: Creating a New Document Set dimensions and size for new documents Grasp media units for accurate design specifications Explore Color Profiles and their significance Save presets for swift document setups Module 4: Placing Images Differentiate Embedded vs. Linked images Introduction to Smart Objects for non-destructive editing Master the Selection tool for precise image placement Module 5: Image Size and Resolution Save images using various formats and compression settings Understand Image Size and Resolution for diverse output needs Module 6: Layers Introduction Organize your work with Layer management Master layer tasks such as reordering, renaming, grouping, locking, and hiding Module 7: Selection Tools Explore Selection Tools like Marquee, Magic Wand, Quick Selection, and Lasso Grasp Inverse Selection and Deselect for efficient editing Module 8: Layer Effects Apply captivating Layer Effects such as Drop Shadow, Stroke, and Outer Glow Save and replicate Effects Styles for quick application Combine multiple effects for creative designs Module 9: Introduction to Shapes Utilize the Shapes tool for fundamental design elements Create Custom Shapes for unique designs Understand Color principles and use the Properties Panel for adjustments Master the Direct Selection tool for precise shape editing Create a basic poster using provided examples Module 10: Type and Typography Work with Type and explore the Character and Paragraph Panel Utilize Styles Panel for consistent text formatting Save favorite fonts for easy access Apply Effects and Layer Styles on Type for impactful typography Learn about Leading, Tracking, and Kerning for optimal text spacing Module 11: Colors Understand RGB vs. CMYK color modes Select colors using the Eyedropper tool Save colors as Swatches for reuse Create gradients using the Gradient Tool Module 12: Creating a Clipping Mask Master the concept of Clipping Masks and their application Apply Clipping Masks to Type, Images, and Shapes Combine Layer Effects with Clipping Masks for creative designs Module 13: Introduction to Masking Understand Masking and its importance in image editing Utilize the Brush tool for mask creation Learn Masking shortcuts and use Gradient Mask for smooth transitions Module 14: Adjustment Layers Explore Color and Gradient Adjustment Layers for image enhancements Master Curves, Levels, and Hue/Saturation Adjustment Layers for precise color control Convert images to Black and White using Adjustment Layers Combine Adjustment Layer Masks for targeted edits Module 15: Image Touch Up Master various touch-up techniques, including Red Eye Removal, Spot Healing Brush, and Patch Tool Utilize Content Aware Removal for seamless object removal Restore old photos using Clone Stamp and Dodge/Burn tools Enhance portraits by removing blemishes and whitening teeth Module 16: Filters Introduction Understand Smart Objects and Filter usage for non-destructive editing Explore the Filters Gallery and experiment with Blur and Vantage filters Module 17: Blending Modes Introduction Master the concept of Blending Modes and their effects on layer overlays Understand different Blending Modes like Darken, Lighten, and Overlay Layer Mastery: Develop expertise in working with layers, mastering advanced techniques for seamless editing and design organization in Adobe Photoshop. Precision Editing: Skillfully employ a variety of selection tools, ensuring precise and meticulous editing, manipulation, and composition of images and elements. Creative Layer Effects: Apply captivating Layer Effects with finesse, enhancing your designs and visuals to achieve professional-grade aesthetics. Advanced Editing Techniques: Understand the functionalities of Adjustment Layers, Masking, and Clipping Masks, enabling you to perform advanced editing and compositing tasks with confidence and precision. Effective Photo Restoration: Acquire techniques to touch up and restore photographs effectively, ensuring professional-quality results in photo editing and retouching. Typography Expertise: Explore advanced typography techniques, enabling you to create visually appealing text designs that complement your overall compositions. Filter Applications: Gain an introductory understanding of Filters and their creative applications, enhancing your ability to add artistic effects and refine visuals. Practical Color Theory: Grasp the fundamental principles of Color Theory and apply them practically in your designs, ensuring harmonious and visually pleasing color schemes in your work. Course Highlights: Advanced Photoshop Skills: Learn intricate techniques for professional image editing, retouching, and manipulation. Creative Design Projects: Engage in hands-on projects to enhance your practical skills in real-world scenarios. Mastering Special Effects: Dive into advanced topics like layer effects, filters, and blending modes to create stunning visual effects. Typography and Design Principles: Explore typography styles, layout design, and color theory for compelling compositions. Professional Portfolio Development: Receive guidance on creating a professional portfolio showcasing your Photoshop expertise. Potential Job Roles: Graphic Designer: Craft visually appealing graphics for print and digital media. Digital Artist: Create digital artwork for various applications, from illustrations to advertisements. Photo Retoucher: Enhance and manipulate photos for professional use, including portrait retouching. UI/UX Designer: Design user interfaces and experiences for websites and applications. Web Designer: Develop visually engaging websites with expertise in Photoshop for web design. Marketing Content Creator: Produce marketing materials such as banners, brochures, and social media visuals. Freelance Designer: Work independently, offering design services to clients across different industries. Advertising Creative: Contribute to creative campaigns by designing impactful ad visuals. Print Production Specialist: Prepare print-ready materials, ensuring quality in printed products. Photography Post-Processing Specialist: Enhance and retouch photographs, optimizing them for professional use. Comprehensive Photoshop Proficiency: Develop a solid foundation in Photoshop, mastering essential tools and techniques vital for image editing and manipulation. Creative Editing Expertise: Learn advanced retouching, image enhancement, digital artwork creation, and graphic design using Photoshop's powerful features. Professional-Grade Results: Acquire skills for achieving professional-level outcomes in image editing, ensuring precise color correction, seamless retouching, and visually appealing compositions. Optimized Workflow: Discover time-saving tips, shortcuts, and efficient techniques to enhance your Photoshop workflow. Learn layer management, non-destructive editing, and automation for streamlined processes. Versatile Design Skills: Unlock creative possibilities by mastering text effects, digital collages, filters, and graphic design for diverse mediums. Access to Recorded Lessons: Revisit course material and reinforce learning through recorded lessons. Review specific techniques at your own pace, deepening your understanding of Photoshop. Lifetime Email Assistance: Benefit from continuous support with lifetime email assistance. Seek guidance, get answers to questions, and seek clarification even after completing the course.

Duration 2 Days 12 CPD hours This course is intended for This course is relevant to anyone who needs to work with and understand data including: Business Analysts, Data Analysts, Reporting and BI professionals Marketing and Digital Marketing professionals Digital, Web, e-Commerce, Social media and Mobile channel professionals Business managers who need to interpret analytical output to inform managerial decisions Overview This course will cover the basic theory of data visualization along with practical skills for creating compelling visualizations, reports and dashboards from data using Tableau. Outcome: After attending this course delegates will understand - How to move from business questions to great data visualizations and beyond How to apply the fundamentals of data visualization to create informative charts How to choose the right visualization type for the job at hand How to design and develop basic dashboards in Tableau that people will love to use by doing the following: Reading data sources into Tableau Setting up the roles and data types for your analysis Creating new data fields using a range of calculation types Creating the following types of charts - cross tabs, pie and bar charts, geographic maps, dual axis and combo charts, heat maps, highlight tables, tree maps and scatter plots Creating Dashboards that delight using the all of the features available in Tableau. The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to tourism. From Business Questions to Data Visualisation and Beyond The first step in any data analysis project is to move from a business question to data analysis and then on to a complete solution. This section will examine this conversion emphasizing: The use of data visualization to address a business need The data analytics process ? from business questions to developed dashboards Introduction to Tableau ? Part 1 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Introduction to Tableau ? Part 2 In this section, the main functionality of Tableau will be explained including: Selecting and loading your data Defining data item properties Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations Creating basic visualizations Creating a basic dashboard Key Components of Good Data Visualisation and The Visualisation Zoo In this section the following topics will be covered: Colour theory Graphical perception & communication Choosing the right chart for the right job Data Exploration with Tableau Exploring data to answer business questions is one of the key uses of applying good data visualization techniques within Tableau. In this section we will apply the data visualization theory from the previous section within Tableau to uncover trends within the data to answer specific business questions. The types of charts that will be covered are: Cross Tabs Pie and bar charts Geographic maps Dual axis and combo charts with different mark types Heat maps Highlight tables Tree maps Scatter plots Introduction to Building Dashboards with Tableau In this section, we will implement the full process from business question to final basic dashboard in Tableau: Introduction to good dashboard design Building dashboards in Tableau

Duration 3 Days 18 CPD hours This course is intended for Technical Leaders Overview What is BlockchainHow does Blockchain workTypes of BlockchainsHow is Blockchain different from what we have todayWhat are use cases for BlockchainWhat does a Blockchain app look likeHow do I design a Blockchain appHow do I develop a Blockchain appHow do I test a Blockchain app This instructor-led 3 day Blockchain Architecture training is for technical leaders who need to make decisions about architecture, environment, and development platforms. What is Blockchain? A record keeping system Trust Decentralization Trustless environment How does Blockchain work? Announcements Blocks Nodes Chaining Verification Consensus Scalability Privacy Crypto Hashing Digital Fingerprinting PoW vs PoS Types of Blockchains Public vs Private Open vs closed Smart Contracts Blockchain as History Tokens / Coins Gas How is Blockchain different from what we have today? Decentralized Peer-to-peer architecture Software vs Firmware Database vs Blockchain Distributed database or other technology? Data Sovereignty Group Consensus What are Use Cases for Blockchain? Use Case Examples Currency Banking Services Voting Medical Records Supply Chain / Value Chain Content Distribution Verification of Software Updates (cars, planes, trains, etc) Law Enforcement Title and Ownership Records Social Media and Online Credibility Fractional asset ownership Cable Television billing High fault tolerance DDoS-proof Public or Private Blockchain? Who are the participants? What does a Blockchain app look like? DApp Resembles typical full stack web application Any internal state changes and all transactions are written to the blockchain Node.js IDE Public Blockchain visibility Private Blockchain solutions Oracles How do I design a Blockchain app? What does this solution need to let users do? Will the proposed solution reduce or remove the problems and pain points currently felt by users? What should this solution prevent users from doing? Do you need a solution ready for heavy use on day 1? Is your solution idea enhanced by the use of Blockchain? Does the use of Blockchain create a better end-user experience? If so, how? Has your business developed custom software solutions before? What level of support are you going to need? How big is the developer community? Does your vision of the future align with the project or platform's vision of the future? Does the platform aim to make new and significant contributions to the development space, or is it an efficiency / cost play? Should the solution be a public or private Blockchain? Should the solution be an open or closed Blockchain? Create a plan for contract updates and changes! Hybrid solutions Monetary exchanges? How do I develop a Blockchain app? AGILE approach pre-release Define guiding principles up front Software vs Firmware Announcements, not transactions! Classes, not contracts Link contracts to share functions Use calling contracts to keep contract address the same Hyperledger vs Ethereum CONSIDER No of Users * Avg No of Transactions (state changes) per User Should a Blockless solution be applied? Performance Security Anonymity Security Monolithic vs Modular Sandwich complexity model How do I test a Blockchain app? Recommend 5x to 10x traditional application testing time Security Networks

Why Join Digital Marketing Training Course at Osborne Training Osborne Training is well Recognised for quality Regular Lectures led by Industry Expert Tutors Unlimited Access to the State of the Art Virtual Learning Campus Exclusive Access to High quality study materials Flexible payment option available Join Digital Marketing Training course as Pure Online or Blended with Classroom Delivery Access to Digital Marketing Internship for 3 months at the end of the training Unlimited Tutorial Support from expert tutors Get a Student Discount Card from NUS* Get a Free Tablet PC for limited period* Practical Hands-on Projects, Practical focused Assignments and Group-work for greater skills enhancement and understanding real life issues for real life problems Once you complete the bookkeeping course, you will get a certificate from Osborne Training confirming your professional Digital Marketing Qualifications. What jobs could I qualify for? Senior Digital Marketing Manager Digital Marketing Coordinator Executive Digital Marketing Strategist Digital Marketing Consultant In these roles, you could earn on average more than £40,000 annually (source: Reed Salary Checker, UK). Moreover, many go on to become successful (Millionaire sometime) entrepreneur by offering Digital Marketing services or formulating successful Digital Marketing Strategy for their own business. Digital Marketing Qualifications Digital Marketing Qualifications at Osborne Training are developed in Association with Google. Osborne Training offers Total Digital Marketing Course which combines all major skills required to be a successful Digital Marketeer and you also have option to join a complementary Internship at the end of your course. In joining the Total Digital Marketing Course at Osborne Training, you will make one of the greatest decision of your career and can look forward to a successful career in digital marketing. Digital Marketing Course Overview Total Digital Marketing Course covers major areas of Digital Marketing to make you completely ready for the digital era. The Digital Marketing course comes with optional Internship at the end of the training making you highly employable. Practical focused and hands-on approach of the training method helps you to be ready to offer real life solutions for real life problems. Digital Marketing Training Course Content Basics of marketing Marketing In Digital Era All About Web Search Engine Optimization Search Engine Marketing Affiliate Marketing Social Media Marketing Email marketing and nurturing (inbound) Mobile app marketing Content marketing Web, mobile and app analytics Growth Hacking Creating robust digital marketing strategy

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

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

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