426 Engineering courses in Kimberley delivered Live Online

This practitioner-level 4 award encourages individuals in IT and technical roles to explore the many teams, ideas, and functions within an organisation and maximise their contribution. You will achieve this by learning the key concepts and considering behaviour and response in different scenarios.

Photoshop one day training course bespoke 1-2-1 with lifetime support

Duration 1 Days 6 CPD hours This course is intended for The content is appropriate for test automation engineering roles, test manager roles, test lead roles, test architect roles, as well as developer roles. This course assumes you have a foundational understanding of testing and the purpose of automation. This course will be beneficial to anyone who is accountable for assessing, planning, designing, and implementing an integrated set of technology (testing infrastructure) that supports development, testing, and deployment. Overview Working in an interactive learning environment, led by our expert facilitator, attendees will learn to: Document the current state of test automation in your organization Define a custom test automation plan and architecture to fit their situation Create an initial implementation plan Identify initial key measures Develop a metrics dashboard for tracking the value of test automation Lay out a future strategy and roadmap to get there Introduction to Test Automation is a one-day, hands-on event designed to provide participants with the skills required to develop a custom test automation plan and architecture for their organization. Throughout the course, students will examine and work through various practical examples, learning how to create an integrated test automation plan and develop a test automation architecture. Participants will also learn about the possible real-world challenges they may face while trying to accomplish their goals, exploring the practical positive aspects of engaging their technical team, along with the possible frustrations of experiencing too much isolation between test automators and test designers. Getting Started Automation beginnings Software as a series of imperfect translations The Compelling Business Needs for Automation Automation the next opportunity Islands of Automation Getting products to market more quickly, at the right costs and quality Automation Challenges and Requirements Automation Challenges Test Automation Key Requirements Foundational material for your automation plan Templates Questions Examples Virtual Consulting included with this course Automation plan vision and strategy Vision, Strategy, Approach Example Defining your end in mind Deciding where to start Engaging Others Conducting a current state tools inventory Assessing your current state - tools and processes Tools inventory example and template Radar Chart as a means of presenting current state information Consider the best automation approach Waterfall vs. agile cycles of work Aligning tools with your methodologies Strategies for Automating The Test Automation Pyramid Developing your test automation architecture Blocks of automation capabilities Islands of Automation Integrated Tools Architecture Template Integrated Tools Architecture Examples Test automation architecture examples Examples of different test automation architectures and frameworks Selenium Key Test Automation Architecture Characteristics Acceptance test-driven and behavior-driven testing overview Test automation approaches FitNesse Cucumber Gherkin script overview Tool workflow Considerations for what to automate and when Categories of tests that might be automated We have many tool choices Key points in Test Tool Architecture Planning Piloting and Implementing automation Selecting and evaluating tools and rolling them out Selling Automation - qualitative questions Selling Automation - quantitative questions Measuring automation benefits Measures in technical terms Measures in business terms Measures of testing vs. measures of test automation Next Steps A few keys to success

The course is relevant to anyone requiring an understanding of the use of Agile or looking to adopt it. This includes, but is not limited to, organisational leaders and managers, marketing executives and managers, and/or all professionals working in an Agile environment, including software sesters, developers, business analysts, UX designers, project management office (PMO), project support and project coordinators.

AutoCAD-Mac Introduction to Advanced Training Course This project-based course is tailored for AutoCAD Mac users, architecture and interior design students and professionals. Click here for more info: Website When Can I Book This Training Course? Personalized experience with 1-on-1 sessions designed to fit your unique needs. Available from Monday to Saturday, 9 am to 7 am Or Call to Book 02077202581. Duration of Training: 16 hours. Training Method:  1-on-1, providing the option for in-person sessions or live online training. Course Content Section 1: Introduction Course Overview Section 2: Basic Concepts Status Bar and The Units Drawing Commands Control Points - Vertex or Verteces Modifying Commands Snap Settings Drawing An Outline Section 3: Dimensions and Customization Adding Dimensions and Dimension Style Manager Importing Dimension Styles Customizing Shortcuts Section 4: Advanced Techniques Adding Walls Thickness with Offset Command Adding interior layout Cleaning Layout lines with Trim Section 5: Text and Styling Text Editing and Importing Text Styles Main File Formats in AutoCAD Section 6: Design Elements Creating Openings in the Floor Plan Adding Openings - Part 2 Adding Openings - Part 3 Drawing Doors & Windows Using Line Types & Linetype Scale Group and Ungroup Commands Using Blocks Using Blocks Library & Dynamic Blocks Section 7: Layers and Furnishing Layers - Part 2 Layers - Part 3 Furnishing Bedrooms & Bathrooms - Part 1 Adding Furniture, Fixtures, and Equipments | part 2 Adding Furniture, Fixtures, and Equipments | part 3 Drawing the Kitchen Drawing the Living Room Drawing Dining Room & Adding Casework Adding Steps and Railings Using Stretch Command Finishing Steps and patio areas Hatch command Hatch Customization Adding Plants & Finishing Floor Plan Section 8: Layout and Printing Paper Space & Page Setup Manager Working with Viewport & Using Print Command Scale & Using Multiple Viewports Locking Viewport Scale Drawing A Titleblock - Part 1 Drawing A Titleblock - Part 2 Copying the Titleblock Using Titleblock with Attributes Section 9: Roof Plan and Organization Drawing The Roof Plan Placing Roof Plan on Sheet Organizing Project Drawings & Using Layer Freeze AutoCAD Crashing And What To Do Section 10: Elevations Exterior elevations - Drawing the Outline Exterior elevations - Drawing the Openings Elevations - Detailing - Part 1 Elevations - Detailing - Part 2 Elevations - Repeating the workflow Elevations - Finishing 3rd Elevation Elevations - Drawing the final elevation Section 11: Sections Sections: Drawing Cut Lines & the Outline Sections: Placing 1st Section on Sheet Sections: Drawing Section #2 - Different Technique Sections: Adding Final Detail Section 12: Interior Elevations Interior Elevations: Drawing the Outline Interior Elevations: Placing on Sheet Interior Elevations: Using Block Clip Interior Elevations: Final Drawing Section 13: Conclusion Putting the Final Set Together Proficient AutoCAD Skills: Master essential tools for efficient drawing creation and manipulation. Accurate 2D Designs: Create precise and high-quality layouts with attention to detail. Effective Object Handling: Excel in selecting, moving, copying, and scaling objects. File Management: Organize drawings efficiently and understand different file formats. Precise Measurements: Utilize inquiry commands for accurate design analysis. Annotations and Hatching: Apply text, dimensions, and hatching to enhance drawings. Object Organization: Manage layers and object properties for organized designs. Reusable Content: Efficiently use blocks, tool palettes, and groups for productivity. Layout Optimization: Create layouts with viewports for optimal design presentation. Professional Output: Generate professional plots and PDF output for polished results. Enhanced Productivity: Explore AutoCAD toolsets and web/mobile apps for streamlined workflow. Course Overview: Learn versatile AutoCAD for Mac drawing techniques, applicable across all industries, enabling you to excel in the application. Our trainers incorporate exercises from various disciplines. Who Should Attend: Ideal for newcomers to AutoCAD for Mac, self-taught users seeking correct techniques, and those transitioning from other CAD tools. Requirements: A solid Mac OS understanding is essential, while prior CAD knowledge is not required. Pre-course preparation guidance is provided for new AutoCAD users. Highlights: Perfect for AutoCAD for Mac beginners. Gain skills for precise 2D layouts and designs. Versatile drawing techniques for all industries. Choose between in-class or live online training. Autodesk Certified Tutors: AutoCAD 1-2-1 courses. Hands-on learning with expert trainers. Lifetime post-course email support. Tailored on-request training available. Certificate: Digital certificate included. Tailored Mac Training: Excel in AutoCAD with specialized Mac training, leveraging its distinct features and interface for heightened efficiency. Comprehensive Skill Enhancement: Advance from fundamental to intermediate AutoCAD Mac proficiency, creating precise and professional 2D drawings. Industry-Relevant Expertise: Attain in-demand skills valued by employers in architecture, engineering, and design sectors. Hands-On Project Exposure: Immerse yourself in practical exercises mirroring real-world design scenarios, fostering practical competence. Lesson Recordings for Review: Access recorded lessons for reinforcement and deeper AutoCAD Mac comprehension. Ongoing Email Support: Benefit from lifetime email support, ensuring assistance beyond course completion."

This award introduces the critical concepts associated with AI and explores its relationship with the systems and processes that make up the digital ecosystem. It explores how AI can empower organisations to utilise Big Data through the use of Business Analysis and Machine Learning, and encourages candidates to consider a future vision of the world that is powered by AI.

This Level 4 course encourages individuals in digital and technical roles to enhance their skills by exploring different techniques, formats, and tools to communicate and understand the impact of their communication choices.

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

Arm yourself with a robust research toolkit that will help you uncover deep behavioural insights on user needs and motivations so you can design better experiences.

This Level 4 practitioner award encourages individuals in or working towards a leadership role (this could be an IT or technical based-role), and you want to demonstrate modern leadership behaviours to nurture a high-performing team, especially during a time of organisational change.