3401 Courses

Duration 3 Days 18 CPD hours This course is intended for Typical candidates for this course are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies. Overview After you successfully complete this course, expect to be able to: Explain how Aruba's wireless networking solutions meet customers' requirements Explain fundamental WLAN technologies, RF concepts, and 802.11 Standards Learn to configure the Mobility Master and Mobility Controller to control access to the Employee and Guest WLAN Control secure access to the WLAN using Aruba Firewall Policies and Roles Recognize and explain Radio Frequency Bands and channels, and the standards used to regulate them Describe the concept of radio frequency coverage and interference and successful implementation and diagnosis of WLAN systems Identify and differentiate antenna technology options to ensure optimal coverage in various deployment scenarios Describe RF power technology including, signal strength, how it is measured and why it is critical in designing wireless networks Learn to configure and optimize Aruba ARM and Client Match and Client Insight features Learn how to perform network monitoring functions and troubleshooting This course teaches the knowledge, skills and practical experience required to set up and configure a basic Aruba WLAN utilizing the OS 8.X architecture and features. Using lecture and labs, this course provides the technical understanding and hands-on experience of configuring a single Mobility Master with one controller and AP Aruba WLAN. Participants will learn how to use Aruba hardware and ArubaOS to install and build a complete, secure controller network with multiple SSIDs. This course provides the underlying material required to prepare candidates for the Aruba Certified Mobility Associate (ACMA) certification exam. WLAN Fundamentals Describes the fundamentals of 802.11, RF frequencies and channels Explain RF Patterns and coverage including SNR Roaming Standards and QOS requirements Mobile First Architecture An introduction to Aruba Products including controller types and modes OS 8.X Architecture and features License types and distribution Mobility Master Mobility Controller Configuration Understanding Groups and Subgroups Different methods to join MC with MM Understanding Hierarchical Configuration Secure WLAN configuration Identifying WLAN requirements such as SSID name, encryption, authentication Explain AP groups structure and profiles Configuration of WLAN using the Mobility Master GUI AP Provisioning Describes the communication between AP and Mobility controller Explain the AP booting sequence and requirements Explores the APs controller discovery mechanisms Explains how to secure AP to controller communication using CPSec Describes AP provisioning and operations WLAN Security Describes the 802.11 discovery, authentication and association Explores the various authentication methods, 802.1x with WPA/WPA2, Mac auth Describes the authentication server communication Explains symmetric vs asymmetric Keys, encryption methods WIPS is described along with rogue discovery and protection Firewall Roles and Policies An introduction into Firewall Roles and policies Explains Aruba?s Identity based Firewall Configuration of Policies and Rules including aliases Explains how to assign Roles to users Dynamic RF Management Explain how ARM calibrates the network selecting channels and power settings Explores OS 8.X Airmatch to calibrate the network How Client Match and ClientInsight match steers clients to better APs Guest Access Introduces Aruba?s solutions for Guest Access and the Captive portal process Configuration of secure guest access using the internal Captive portal The configuration of Captive portal using Clearpass and its benefits Creating a guest provisioning account Troubleshooting guest access Network Monitoring and Troubleshooting Using the MM dashboard to monitor and diagnose client, WLAN and AP issues Traffic analysis using APPrf with filtering capabilities A view of Airwaves capabilities for monitoring and diagnosing client, WLAN and AP issues Additional course details: Nexus Humans Aruba Mobility Fundamentals, Rev. 20.11 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 Aruba Mobility Fundamentals, Rev. 20.11 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.

Duration 2 Days 12 CPD hours This course is intended for Solutions architects, Software engineers, Operations leads, and IT project managers. Overview Recognize the common business and technical drivers for migrating to the cloud Summarize the three phases of a migration and associated objectives, tasks, and stakeholders for each Describe AWS architecture, tools, and migration best practices Distinguish between the various cloud migration strategies and when each is most appropriate Determine an organization?s application migration readiness Discover a portfolio and gather data necessary for migration Plan and design an application migration strategy Perform and validate application migration to the cloud Optimize applications and operations after migrating to the cloud This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. You will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization. Hands-on labs reinforce learning, and each lab is designed to provide you with the understanding and foundation necessary to complete migration tasks in your organization. Prerequisites We recommend that attendees of this course have: Familiarity with enterprise IT infrastructure (hardware and software) Completed the AWS Technical Essentials or Architecting on AWS training 1 - What Is a Cloud Migration? Summarize the drivers and desired outcomes of a cloud migration Identify the elements of a successful migration journey Describe the three-phase AWS migration process 2 - Assessing Migration Readiness Summarize the activities and goals of the assess phase Evaluate tools for assessing your organization?s cloud readiness Describe Migration Readiness Assessments (MRAs) and their importance 3 - Preparing for a Migration and Understanding Related Workstreams Summarize the mobilize phase of the process Discuss the eight unique migration-related workstreams 4 - Discovering Landing Zones and Their Benefits Explain the function of a landing zone Discuss best practices for creating a custom landing zone Describe how you would use AWS Control Tower to create a landing zone 5 - Building a Landing Zone Summarize the process of building a landing zone Determine the best multi-account structure, governance policies, and connectivity plan for a landing zone 6 - Discovering the Portfolio and Understanding Migration Strategies Explain the activities of the detailed portfolio discovery workstream Describe how to assess an application?s migration readiness Summarize the seven migration strategies 7 - Understanding and Choosing Portfolio Discovery Tools Summarize the various discovery tools available Distinguish which tools are best to use based on scenario 8 - Planning and Designing a Migration Describe the planning and design process Summarize how to set up a migration factory Choose and finalize an application migration strategy 9 - Performing the Migration to AWS Explain the server migration process Discuss the various migration automation and governance tools available Evaluate server migration tools for compatibility with your environment 10 - Understanding Database and Data Migration Services Summarize the significance of database and data migration Discuss the various data migration tools available 11 - Understanding Additional Migration Support Options Discuss additional migration support options Summarize AWS Managed Services and AWS Marketplace Describe SAP on AWS and services offered for Windows 12 - Integrating, Validating, and Cutting Over Applications Discuss the process and benefits of integrating, validating, and cutting over applications 13 - Modernizing and Optimizing an Application Migration Identify post-migration opportunities for modernization and optimization Understand cost and security optimization processes Explore tools available to support these processes 14 - Understanding Operations Tools, Integration Testing, and Automation Summarize operations in the cloud Discuss four functions of operations and their domains Review operations automation and relevant support tools 15 - Migration Best Practices Course review and key takeaways Summarize and reinforce AWS best practices for migrating Additional course details: Nexus Humans Migrating to 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 Migrating to 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.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Network Administrators Administrators interested in Automation Individuals interested in devops, specifically for networking Overview This course teaches students to blend Python skillsets with Ansible through the lens of automating networks. Automation techniques for the most popular vendor (incl. Cisco, Juniper, Arista) will be subjects of study, however, students may request examples from vendors within their own environments. Topics begin with a focus on automating networks with Python; this skill set is then folded into a broadening understanding of automating with Ansible. Students will have programmatic experience automating enterprise class networks by the conclusion of this course (includes writing custom Ansible modules with Python). Class is a combination of lecture, demonstration, and hands-on labs. Students are invited to share their own relevant Python and Ansible scripts with the instructor to ensure class subjects are as relevant as possible. All notes and scripts will be made available to students by the end of each day via a cloud-share or email. Lab time will be given reinforce that day's topics and demonstrations. No two networks are the same! Learn to automate your network with a Python and Ansible skillset. Course can be taught across all major (and most minor) network vendors. Course demonstrations can be adapted to best-fit the customer?s network to ensure all lessons have maximum relevance. Day 1 ? Critical Python Catchup & Review Overview of Python and Ansible Python white space rules & best practices Printing and more Printing Date types and Variables Packing and Unpacking Variables f Strings Conditional expressions Relational and Boolean operators Lists, Tuples, Dictionaries Indexing and slicing Built-in functions Iterating with Loops (for and while) Working with files Software Control Management (SCM) (Git, Github, Bitbucket, Cloudshare, etc.) Using Python to access REST interfaces Working with JSON Python, Ansible and Paramiko Using Paramiko to SSH with keys and passwords RESTful API review API keys Paramiko Review Using Paramiko to SFTP with keys and passwords Day 02 ? Python and Network Automation Introduction to Netmiko (automating routers and switches) Using Netmiko to send commands to / from network devices Working with YAML Converting JSON to YAML with Python Ansible keywords YAML and JSON for data exchange Ansible and YAML Ansible Playbook components Tying together Python and Ansible ? Using Python within Ansible Ansible Network Modules What is new in Ansible (most current updates / release notes) Network Agnostic modules Writing network playbooks Reviewing the construction of network playbooks Writing Ansible playbooks that respond to network failures Day 03 ? Blending Python and Ansible Skillsets Review how to use Python within Ansible Calling Python scripts with Ansible Jinja2 Templating Engine for Python (and Ansible) Using Templates in Ansible playbooks Jinja2 filters, looping, and other useful tricks for automating with Ansible Playbook tagging for selective runs When to use Python and when to use Ansible ?Big Picture? options for using Python & Ansible within your Network Ansible Roles Day 04 ? Customizing Ansible with Python Review ? Running Scripts with Ansible Prompting for Ansible user input Ansible Galaxy & Getting at Roles Writing a custom Ansible Module with Python Ansible ?Engine? vs Ansible ?Tower? ? marketing hype, capabilities, costs, etc. Case Study: Automate your Enterprise Network When to use Python and when to use Ansible Writing your own Ansible modules in Python ?Big Picture? options for using Python & Ansible within your Network Overview ? NETCONF / YANG and what they mean for Python and Ansible Molecule ? Testing your roles Additional course details: Nexus Humans Network Automation with Python and Ansible 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 Network Automation with Python and Ansible 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.

Description Register on the Deep Learning & Neural Networks Python - Keras today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Deep Learning & Neural Networks Python - Keras course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Course Introduction And Table Of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML Or DL For The Next AI Project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation And Sample Program To Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow Library Installation And Sample Program To Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation And Switching Theano And TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps And Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network With Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training And Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding The Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - K-Fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing The Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding The Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing The Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning For Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding The Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing The Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement By Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement By Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement By Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load The Trained Model As JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save And Load Model As YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load And Predict Using The Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load And Predict Using The Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load And Predict Using The Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load And Predict Using The Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction To Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading The Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule Using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Handwritten Digit Recognition Dataset MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model Using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN Using MNIST Large CNN using MNIST 00:09:00 Load And Predict Using The MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction To Image Augmentation Using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation Using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation Using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation Using Rotation And Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding And Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN Using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train And Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load And Predict Using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Dive into the world of project management with our comprehensive course! Master the fundamentals, explore advanced tools such as Jira, Microsoft Teams, and Trello, and gain real-world insights. From Agile methodologies to effective communication strategies, this course equips you with the skills to excel as a confident and successful project manager.

This course will provide the information you need to master the Raspberry Pi 3 and Raspberry Pi 4. It walks you through everything you need to know to use the platform to the fullest and assumes no prior programming or electronics knowledge. The course also covers details about Raspberry Pi OS and Raspberry Pi Imager.

CRM: Customer Relationship Management Online Are you excited to start a job as front desh executive or the job which have direct interaction with customers? Then our comprehensive CRM Course (Customer Relationship Management) is perfect for you. This CRM Course (Customer Relationship Management) delves into customer-centric strategies and emphasizing the use of CRM tools for enhanced customer interactions. The CRM Course (Customer Relationship Management) participants gain insights into customer data analysis, segmentation and effective communication techniques. The CRM Course (Customer Relationship Management) fosters skills in CRM system implementation and aligning sales. Moreover, the CRM Course (Customer Relationship Management) involves marketing and service functions. The CRM Course (Customer Relationship Management) helps in optimizing overall business performance through strengthened customer relationships. As the CRM Course (Customer Relationship Management) is a great method to progress your profession the what are you waiting? Sign up for this CRM Course (Customer Relationship Management) immediately! Main Course: CRM: Customer Relationship Management Free courses included with CRM: Customer Relationship Management Course: Along with CRM: Customer Relationship Management Course you will get free Close Protection Course Along with CRM: Customer Relationship Management Course you will get free Security Management Course Special Offers of this CRM: Customer Relationship Management Course: This CRM: Customer Relationship Management Course includes a FREE PDF Certificate. Lifetime access to this CRM: Customer Relationship Management Course Instant access to this CRM: Customer Relationship Management Course 24/7 Support Available to this CRM: Customer Relationship Management Course CRM: Customer Relationship Management Online Our CRM Course (Customer Relationship Management) provides an introduction to Customer Relationship Management (CRM) along with its all functions. Also, the CRM Course (Customer Relationship Management) explains CRM strategies, and data analysis in CRM and CRM Databases. Moreover, this CRM Course (Customer Relationship Management) includes difficulties handling processes. Additionally, the CRM Course (Customer Relationship Management) explain how to deepen the customer relationship and the future of CRM. Who is this course for? CRM: Customer Relationship Management Anyone can take this CRM Course (Customer Relationship Management). Requirements CRM: Customer Relationship Management To enroll in this CRM: Customer Relationship Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our CRM: Customer Relationship Management Course. Be energetic and self-motivated to complete our CRM: Customer Relationship Management Course. Basic computer Skill is required to complete our CRM: Customer Relationship Management Course. If you want to enrol in our CRM: Customer Relationship Management Course, you must be at least 15 years old. Career path CRM: Customer Relationship Management After completing this CRM Course (Customer Relationship Management), you can work as a manager, customer service manager, CRM analyst, and many other positions!

Anatomy: Anatomy and Physiology Course Online ➽➽➽ Buy 1 and Get 2 Courses FREE! Do you want to take a deep dive into the workings of the nervous system alongside the functions of the brain and our five senses? Then our Anatomy: Anatomy and Physiology Course will be a perfect option for you. The Anatomy: Anatomy and Physiology Course delves into the intricacies of the human body's structure and function. This Anatomy: Anatomy and Physiology Course covers organ systems, tissues, and cellular processes. In the Anatomy: Anatomy and Physiology Course, students gain a profound understanding of anatomy and physiology. Through the Anatomy: Anatomy and Physiology Course topics, you can learn the skeletal, muscular, cardiovascular, and nervous systems. Moreover, this Anatomy: Anatomy and Physiology Course equips learners with essential knowledge for careers in healthcare or biological sciences. Enrol in this Anatomy: Anatomy and Physiology Course to emphasize the interconnectedness of bodily functions and the importance of maintaining a holistic perspective on human health. Main Course: Anatomy and Physiology Course Special Offers of this Anatomy: Anatomy and Physiology Course: This Anatomy: Anatomy and Physiology Course includes a FREE PDF Certificate. Lifetime access to this Anatomy: Anatomy and Physiology Course Instant access to this Anatomy: Anatomy and Physiology Course 24/7 Support Available to this Anatomy: Anatomy and Physiology Course Anatomy: Anatomy and Physiology Course Online The Anatomy: Anatomy and Physiology Course provides a comprehensive exploration of the human body's structure and function. Also, the Anatomy: Anatomy and Physiology Course encompasses organ systems and cellular processes. Students of Anatomy: Anatomy and Physiology Course gain insights into the skeletal, muscular, cardiovascular, and nervous systems. Overall, this foundational Anatomy: Anatomy and Physiology Course is essential for understanding a holistic understanding of the intricacies of human anatomy and physiology. Who is this course for? Anatomy: Anatomy and Physiology Course Online This Anatomy: Anatomy and Physiology Course is suitable for Medical Healthcare Professionals, Anatomy: Anatomy and Physiology Course Tutor or medical students. Requirements Anatomy: Anatomy and Physiology Course Online To enrol in this Anatomy: Anatomy and Physiology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Anatomy: Anatomy and Physiology Course Be energetic and self-motivated to complete our Anatomy: Anatomy and Physiology Course. Basic computer Skill is required to complete our Anatomy: Anatomy and Physiology Course. If you want to enrol in our Anatomy: Anatomy and Physiology Course, you must be at least 15 years old. Career path Anatomy: Anatomy and Physiology Course Online This Anatomy: Anatomy and Physiology Course is an excellent way for you to pursue your career in many fields, such as; Medical Healthcare Professional, Biological Researcher, First Aid Officer and many more!

Artists and designers are widely using illustrator to magnify a design, picture, logo, and many more things. Becoming an expert in this field, you can use this program for professional and personal works. To learn vivid uses of this program skillfully, take a look at our Adobe Illustrator CC Beginner course. The contents of the course assist you to pursue the best position in this role. First and foremost, the course teaches you the basic of drawing along with the introduction of tools and its multiple functions. Furthermore, it makes clear the use of illustrator to open new documents, navigate, and use Adobe Bridge. Following that, the course guides you how to draw shapes, edit shapes, use layers, measure objects, apply stroke, fill, and gradients, and transfer the object effectively. Overall, you will learn the use of pen tools, brush to paint, many other tools to apply special effect and many other things. Who is this course for? Adobe Illustrator CC Beginner is suitable for anyone who wants to gain extensive knowledge, potential experience and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our Adobe Illustrator CC Beginner is open to all from all academic backgrounds and there are no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Introduction Introduction 00:01:00 Introduction to Illustrator Why Adobe Illustrator? 00:03:00 Using Selection Tools 00:02:00 Creating New Documents 00:08:00 Saving Adobe Illustrator Files 00:06:00 Navigating the Interface 00:08:00 Managing Workspaces 00:05:00 Drawing Basics Creating Shapes 00:13:00 Using the Drawing Tools 00:10:00 Mastering the Pen Tool 00:09:00 Editing Shapes 00:08:00 Grouping and Aligning Shapes 00:06:00 Understanding Layers 00:06:00 Putting it all Together 00:07:00 Measuring and Transforming Objects Working with Rules and Guides 00:05:00 Discovering the Transform Panel 00:08:00 Using Transform and Distort 00:04:00 Applying Fills and Strokes Editing Fills with the Color Panel 00:08:00 Editing Fills with the Swatches Panel 00:09:00 Modifying Strokes 00:09:00 Creating Gradients 00:09:00 Using the Freeform Gradient 00:06:00 Setting Type Using Type Tools 00:10:00 Discovering Type Panels 00:08:00 Working with Adobe Fonts 00:04:00 Painting with Brushes Discovering the Brush Panel 00:06:00 Creating Custom Brushes 00:06:00 Using the Blob Brush 00:08:00 Applying Effects Using the Appearance Panel 00:04:00 Understanding the Effects Menu 00:07:00 Exporting from Illustrator Creating PDF's 00:07:00 Exporting to Other Formats 00:08:00 Importing Adobe PDF´s 00:03:00 Understanding Metadata 00:04:00 Printing your Document 00:07:00 Conclusion Course recap 00:01:00 Resources Resources - Adobe Illustrator CC Beginner 00:00:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Welcome to a project-based intermediate course. This course is designed to learn how to create new and exciting projects using various python modules. In each section, we will build a project and with each project, you will learn how to create an online multiplayer game, AOL-style chat room, and more!