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This course starts with the basics then moves seamlessly to an intermediate level. It includes a comprehensive yet balanced look at the four main components that make up Power BI Desktop: Report view, Data view, Model view, and the Power Query Editor. It also demonstrates how to use the online Power BI service. It looks at authoring tools that enables you to connect to and transform data from a variety of sources, allowing you to produce dynamic reports using a library of visualisations. Once you have those reports, the course looks at the seamless process of sharing those with your colleagues by publishing to the online Power BI service. The aim of this course is to provide a strong understanding of the Power BI analysis process, by working with real-world examples that will equip you with the necessary skills to start applying your knowledge straight away. 1 Getting started The Power BI process Launching Power BI Desktop The four views of Power BI Dashboard visuals 2 Connecting to files Connect to data sources Connect to an Excel file Connect to a CSV file Connect to a database Import vs. DirectQuery Connect to a web source Create a data table 3 Transforming data The process of cleaning data Column data types Remove rows with filters Add a custom column Append data to a table Fix error issues Basic maths operations 4 Build a data model Table relationships Manage table relationships 5 Merge queries Table join kinds Merging tables 6 Create report visualisations Creating map visuals Formatting maps Creating chart visuals Formatting chart Tables, matrixes, and cards Control formatting with themes Filter reports with slicers Reports for mobile devices Custom online visuals Export report data to Excel 7 The power query editor Fill data up and down Split columns by delimiter Add conditional columns Merging columns 8 The M formula Creating M functions Create an IF function Create a query group 9 Pivot and unpivot tables Pivot tables in the query editor Pivot and append tables Pivot but don't summarise Unpivot tables Append mismatched headers 10 Data modelling revisited Data model relationships Mark a calendar as a date table 11 Introduction to calculated columns New columns vs. measures Creating a new column calculation The SWITCH function 12 Introduction to DAX measures Common measure categories The SUM measure Adding measures to visuals COUNTROWS and DISINCTCOUNT functions DAX rules 13 The CALCULATE measure The syntax of CALCULATE Things of note about CALCULATE 14 The SUMX measure The SUMX measure X iterator functions Anatomy of SUMX 15 Introduction to time intelligence Importance of a calendar table A special lookup table The TOTALYTD measure Change year end in TOTALYTD 16 Hierarchy, groups and formatting Create a hierarchy to drill data Compare data in groups Add conditional formatting 17 Share reports on the web Publish to the BI online service Get quick insights Upload reports from BI service Exporting report data What is Q&A? Sharing your reports 18 Apply your learning Post training recap lesson

Overview Become a fluent multilingual adopting the fundamental skills of European language by joining the exclusive European Languages Training Bundle (5 Languages Masterclass) course. This expertlydesigned course offers you a comprehensive and productive learning session,teaching you the skills to speak in European languages, maintaining all the grammar and linguistic features. What's more, the course will develop your listening skills alongside. The self-paced course will be a perfect initiative for determined aspirants who want to build on their professional skills and become a strong candidate in the job sector. Our dedicated tutors will be available to resolve all your queries. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this European Languages Training Bundle (5 Languages Masterclass). It is available to all students, of all academic backgrounds. Requirements Our European Languages Training Bundle (5 Languages Masterclass) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 54 sections • 314 lectures • 19:10:00 total length •Introduction: 00:05:00 •Lesson 1a: 00:03:00 •Lesson 1b: 00:04:00 •Lesson 1c: 00:04:00 •Lesson 1d: 00:04:00 •Lesson 2a: 00:03:00 •Lesson 2b: 00:04:00 •Lesson 2c: 00:04:00 •Lesson 2d: 00:04:00 •Lesson 2e: 00:03:00 •Lesson 3a: 00:04:00 •Lesson 3b: 00:03:00 •Lesson 3c: 00:04:00 •Lesson 3d: 00:03:00 •Lesson 3e: 00:03:00 •Lesson 3f: 00:05:00 •Lesson 4a: 00:03:00 •Lesson 4b: 00:03:00 •Lesson 4c: 00:03:00 •Lesson 4d: 00:03:00 •Lesson 4e: 00:03:00 •Lesson 4f: 00:03:00 •Lesson 4g: 00:03:00 •Lesson 4h: 00:04:00 •Lesson 5a: 00:03:00 •Lesson 5b: 00:03:00 •Lesson 5c: 00:03:00 •Lesson 5d: 00:03:00 •Lesson 5e: 00:03:00 •Lesson 5f: 00:03:00 •Lesson 5g: 00:03:00 •Lesson 5h: 00:03:00 •Lesson 5i: 00:03:00 •Lesson 5j: 00:03:00 •Lesson 5k: 00:03:00 •Lesson 6a: 00:03:00 •Lesson 6b: 00:03:00 •Lesson 6c: 00:03:00 •Lesson 6d: 00:03:00 •Lesson 6e: 00:03:00 •Lesson 6f: 00:03:00 •Lesson 6g: 00:03:00 •Lesson 7a: 00:03:00 •Lesson 7b: 00:03:00 •Lesson 7c: 00:03:00 •Lesson 7d: 00:03:00 •Lesson 7e: 00:03:00 •Lesson 7f: 00:03:00 •Lesson 7g: 00:03:00 •Lesson 7h: 00:03:00 •Lesson 8a: 00:03:00 •Lesson 8b: 00:03:00 •Lesson 8c: 00:03:00 •Lesson 8d: 00:03:00 •Lesson 8e: 00:03:00 •Lesson 8f: 00:04:00 •Lesson 8g: 00:03:00 •Lesson 8h: 00:03:00 •Lesson 8i: 00:03:00 •Lesson 8j: 00:03:00 •Lesson 8k: 00:04:00 •Lesson 9a: 00:03:00 •Lesson 9b: 00:03:00 •Lesson 9c: 00:03:00 •Lesson 9d: 00:03:00 •Lesson 9e: 00:03:00 •Lesson 9f: 00:03:00 •Lesson 9g: 00:03:00 •Introduction: 00:05:00 •Lesson 1a: 00:03:00 •Lesson 1b: 00:03:00 •Lesson 1c: 00:05:00 •Lesson 1d: 00:04:00 •Lesson 2a: 00:04:00 •Lesson 2b: 00:04:00 •Lesson 2c: 00:03:00 •Lesson 2d: 00:04:00 •Lesson 2e: 00:04:00 •Lesson 2f: 00:03:00 •Lesson 3a: 00:03:00 •Lesson 3b: 00:04:00 •Lesson 3c: 00:03:00 •Lesson 3d: 00:04:00 •Lesson 3e: 00:04:00 •Lesson 3f: 00:03:00 •Lesson 3g: 00:03:00 •Lesson 4a: 00:03:00 •Lesson 4b: 00:03:00 •Lesson 4c: 00:03:00 •Lesson 4d: 00:03:00 •Lesson 4e: 00:03:00 •Lesson 4f: 00:03:00 •Lesson 4g: 00:03:00 •Lesson 4h: 00:03:00 •Lesson 4i: 00:04:00 •Lesson 5a: 00:04:00 •Lesson 5b: 00:03:00 •Lesson 5c: 00:03:00 •Lesson 5d: 00:03:00 •Lesson 5e: 00:03:00 •Lesson 5f: 00:03:00 •Lesson 5g: 00:03:00 •Lesson 5h: 00:03:00 •Lesson 5i: 00:03:00 •Lesson 5j: 00:04:00 •Lesson 6a: 00:03:00 •Lesson 6b: 00:03:00 •Lesson 6c: 00:03:00 •Lesson 6d: 00:03:00 •Lesson 6e: 00:03:00 •Lesson 6f: 00:04:00 •Lesson 6g: 00:04:00 •Lesson 7a: 00:03:00 •Lesson 7b: 00:03:00 •Lesson 7c: 00:03:00 •Lesson 7d: 00:03:00 •Lesson 7e: 00:03:00 •Lesson 7f: 00:03:00 •Lesson 7g: 00:03:00 •Lesson 7h: 00:03:00 •Lesson 7i: 00:02:00 •Lesson 7j: 00:03:00 •Lesson 8a: 00:03:00 •Lesson 8b: 00:03:00 •Lesson 8c: 00:03:00 •Lesson 8d: 00:03:00 •Lesson 8e: 00:03:00 •Lesson 8f: 00:03:00 •Lesson 8g: 00:03:00 •Lesson 8h: 00:03:00 •Lesson 8i: 00:03:00 •Lesson 8j: 00:03:00 •Lesson 8k: 00:04:00 •Lesson 9a: 00:03:00 •Lesson 9b: 00:03:00 •Lesson 9c: 00:04:00 •Lesson 9d: 00:03:00 •Lesson 9e: 00:03:00 •Lesson 9f: 00:03:00 •Lesson 9g: 00:05:00 •Resources - Beginners German Course: 00:00:00 •Lesson 1a: 00:03:00 •Lesson 1b: 00:03:00 •Lesson 1c: 00:03:00 •Lesson 1d: 00:03:00 •Lesson 2a: 00:03:00 •Lesson 2b: 00:03:00 •Lesson 2c: 00:03:00 •Lesson 2d: 00:03:00 •Lesson 2e: 00:05:00 •Lesson 3a: 00:03:00 •Lesson 3b: 00:03:00 •Lesson 3c: 00:04:00 •Lesson 3d: 00:03:00 •Lesson 3e: 00:03:00 •Lesson 3f: 00:03:00 •Lesson 4a: 00:03:00 •Lesson 4b: 00:03:00 •Lesson 4c: 00:03:00 •Lesson 4d: 00:03:00 •Lesson 4e: 00:03:00 •Lesson 4f: 00:03:00 •Lesson 4g: 00:05:00 •Lesson 5a: 00:03:00 •Lesson 5b: 00:03:00 •Lesson 5c: 00:03:00 •Lesson 5d: 00:03:00 •Lesson 5e: 00:04:00 •Lesson 5f: 00:03:00 •Lesson 5g: 00:03:00 •Lesson 5h: 00:03:00 •Lesson 5i: 00:05:00 •Lesson 6a: 00:03:00 •Lesson 6b: 00:03:00 •Lesson 6c: 00:03:00 •Lesson 6d: 00:03:00 •Lesson 6e: 00:03:00 •Lesson 6f: 00:03:00 •Lesson 6g: 00:04:00 •Lesson 7a: 00:03:00 •Lesson 7b: 00:03:00 •Lesson 7c: 00:03:00 •Lesson 7d: 00:03:00 •Lesson 7e: 00:03:00 •Lesson 7f: 00:03:00 •Lesson 7g: 00:03:00 •Lesson 7h: 00:03:00 •Lesson 8a: 00:03:00 •Lesson 8b: 00:03:00 •Lesson 8c: 00:03:00 •Lesson 8d: 00:05:00 •Lesson 8e: 00:03:00 •Lesson 8f: 00:04:00 •Lesson 8g: 00:03:00 •Lesson 8h: 00:03:00 •Lesson 8i: 00:03:00 •Lesson 8j: 00:03:00 •Lesson 8k: 00:03:00 •Lesson 9a: 00:03:00 •Lesson 9b: 00:03:00 •Lesson 9c: 00:03:00 •Lesson 9d: 00:03:00 •Lesson 9e: 00:03:00 •Lesson 9f: 00:06:00 •Introduction: 00:05:00 •Lesson 1a: 00:03:00 •Lesson 1b: 00:04:00 •Lesson 1c: 00:04:00 •Lesson 1d: 00:04:00 •Lesson 2a: 00:03:00 •Lesson 2b: 00:00:00 •Lesson 2c: 00:03:00 •Lesson 2d: 00:03:00 •Lesson 2e: 00:04:00 •Lesson 3a: 00:03:00 •Lesson 3b: 00:03:00 •Lesson 3c: 00:04:00 •Lesson 3d: 00:03:00 •Lesson 3e: 00:05:00 •Lesson 3f: 00:04:00 •Lesson 4a: 00:03:00 •Lesson 4b: 00:03:00 •Lesson 4c: 00:03:00 •Lesson 4d: 00:03:00 •Lesson 4e: 00:03:00 •Lesson 4f: 00:03:00 •Lesson 4g: 00:05:00 •Lesson 5a: 00:03:00 •Lesson 5b: 00:03:00 •Lesson 5c: 00:03:00 •Lesson 5d: 00:03:00 •Lesson 5e: 00:03:00 •Lesson 5f: 00:03:00 •Lesson 5g: 00:03:00 •Lesson 5h: 00:03:00 •Lesson 5i: 00:03:00 •Lesson 5j: 00:04:00 •Lesson 6a: 00:03:00 •Lesson 6b: 00:03:00 •Lesson 6c: 00:03:00 •Lesson 6d: 00:03:00 •Lesson 6e: 00:03:00 •Lesson 6f: 00:03:00 •Lesson 6g: 00:05:00 •Lesson 7a: 00:03:00 •Lesson 7b: 00:03:00 •Lesson 7c: 00:03:00 •Lesson 7d: 00:03:00 •Lesson 7e: 00:03:00 •Lesson 7f: 00:03:00 •Lesson 7g: 00:03:00 •Lesson 7h: 00:04:00 •Lesson 8a: 00:03:00 •Lesson 8b: 00:03:00 •Lesson 8c: 00:03:00 •Lesson 8d: 00:04:00 •Lesson 8e: 00:03:00 •Lesson 8f: 00:03:00 •Lesson 8g: 00:03:00 •Lesson 8h: 00:03:00 •Lesson 8i: 00:04:00 •Lesson 8j: 00:03:00 •Lesson 8k: 00:03:00 •Lesson 8l: 00:03:00 •Lesson 8m: 00:03:00 •Lesson 9a: 00:03:00 •Lesson 9b: 00:03:00 •Lesson 9c: 00:03:00 •Lesson 9d: 00:03:00 •Lesson 9e: 00:03:00 •Lesson 9f: 00:03:00 •Lesson 9g: 00:04:00 •Resource - Beginners Italian Course: 00:30:00 •Lesson 1a: 00:03:00 •Lesson 1b: 00:03:00 •Lesson 1c: 00:04:00 •Lesson 2a: 00:04:00 •Lesson 2b: 00:03:00 •Lesson 2c: 00:05:00 •Lesson 2d: 00:05:00 •Lesson 2e: 00:01:00 •Lesson 3a: 00:04:00 •Lesson 3b: 00:03:00 •Lesson 3c: 00:04:00 •Lesson 3d: 00:04:00 •Lesson 3e: 00:03:00 •Lesson 3f: 00:03:00 •Lesson 4a: 00:03:00 •Lesson 4b: 00:03:00 •Lesson 4c: 00:03:00 •Lesson 4d: 00:03:00 •Lesson 4e: 00:03:00 •Introducing 3 categories of words in Arabic العَربيةأنواعُ الكلمةِ في اللغة: 00:05:00 •Arabic nouns according to their intelligence العَاقِل والغَير العَاقِل والجَمَاد: 00:04:00 •Arabic nouns according to their gender التَّذكِير والتَّأنيث: 00:02:00 •Arabic nouns according to their number المُفرد والمُثنى والجَمع: 00:07:00 •Formula 1 How to convert singular masculine noun to singular feminine noun تَحو: 00:06:00 •Formula 2 How to convert singular noun to dual masculine noun with examples: 00:11:00 •Formula 3 How to convert singular noun to dual feminine noun with examples: 00:09:00 •Formula 4 How to convert singular noun to masculine sound plural noun with example: 00:07:00 •Formula 5 How to convert singular noun to feminine sound plural noun with example: 00:09:00 •Formula 6 Broken plural different forms with examples جَمْع التكْسِير: 00:12:00 •More examples on nouns according to gender, number, intelligence and case ending: 00:18:00 •Introducing the doerالفاعل and its 2 types; apparent and hidden with example: 00:13:00 •Understanding the apparent doer الفاعل الظاهرand typical syntax when it is singu: 00:06:00 •Understanding the apparent doer الفَاعِل الظَّاهرand typical syntax when it is d: 00:07:00 •Understanding the apparent doer الفَاعِل الظَّاهر and typical syntax when it is: 00:06:00 •Understanding the hidden doer الفَاعِل المُسْتَتِرand typical syntax when it is: 00:05:00 •Understanding the hidden doer الفَاعِل المُسْتَتِرand typical syntax: 00:05:00 •Understanding the hidden doer الفَاعِل المُسْتَتِرand typical syntax when it is: 00:05:00 •Introducing the subject of the passive نائب الفاعِل: 00:16:00 •Understanding 'the subject of the passive' نائبُ الفَاعِلand typical syntax ال: 00:07:00 •Understanding 'the subject of the passive' and typical syntax analysis الإعراب w: 00:07:00 •Understanding 'the subject of the passive' and typical syntax analysis الإعراب: 00:10:00

Our comprehensive course is designed to provide you with the necessary skills and knowledge to excel in your field. Developed by professionals with years of experience, this course is perfect for anyone looking to kick start their career or advance their skills. It features an audio-visual presentation and easy-to-learn modules, allowing for a self-paced learning experience. Our expert online support team is available during weekdays to assist you throughout the course. Learning Outcomes Upon completion of the course, you will be able to: Understand the fundamentals and its applications. Develop the necessary skills to succeed in the field . Apply your newly acquired knowledge to real-world scenarios. Create effective and efficient solutions for relevant topics. Enhance your employability and career prospects. It is designed to provide you with the knowledge needed to stand out in the competitive job market. With lifetime access to course materials and the ability to learn at your own pace, this course is the perfect opportunity to improve your skills and advance your career. You can learn at your own pace, from the comfort of your home, as all course materials are accessible online at any time. Why Choose Us? Lifetime access to course materials Full tutor support is available Monday through Friday for all courses Learn essentials skills at your own pace from the comfort of your home Gain a thorough understanding of the course Access informative video modules taught by expert instructors 24/7 assistance and advice available through email and live chat Study the course on your computer, tablet, or mobile device Improve your chances of gaining professional skills and earning potential by completing the course. Why should you study this course? The course offers a comprehensive introduction to the subject matter and provides a solid foundation for further study. It will also help students to gain knowledge and skills that can be applied in their professional or personal life. Assessment The course includes a series of quizzes that will test your understanding and retention of the material covered in the course. The quizzes will help you to identify areas where you may need further practice, and you will have the opportunity to review the course materials as needed. Upon successfully passing the final quiz, you will be able to order your certificate of achievement. Career Path The course is designed to equip you with the skills and knowledge you need to succeed in the field. After completing the course, you will be able to pursue a variety of career opportunities in different industries. Course Content Criminology and Criminal Psychology Level 3 Diploma Module 1. Introduction to Criminology Module 2. Legal Aspects of Crime Module 3. Research Techniques in Criminology Module 4. Understanding Criminal Psychology Module 5. Forensic Science Module 7. Different Phases of Profiling Module 8. Transnational and Organised Crime Module 9. Cybercrime and Cybersecurity Module 10. Victimology and Victim Services Module 11. Policing's Impact on the Criminal Justice Process

Duration 2 Days 12 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring EX Series switches using Junos ELS. Overview After successfully completing this course, you should be able to: Restrict traffic flow within a VLAN. Manage dynamic VLAN registration. Tunnel Layer 2 traffic through Ethernet networks. Review the purpose and operations of a spanning tree. Implement multiple spanning-tree instances in a network. Implement one or more spanning-tree instances for a VLAN. List the benefits of implementing end-user authentication. Explain the operations of various access control features. Configure and monitor various access control features. Describe processing considerations when multiple authentication and access control features are enabled. Describe some common IP telephony deployment scenarios. Describe features that facilitate IP telephony deployments. Configure and monitor features used in IP telephony deployments. Explain the purpose and basic operations of CoS. Describe CoS features used in Layer 2 networks. Configure and monitor CoS in a Layer 2 network. Describe a basic troubleshooting method. List common issues that disrupt network operations. Identify tools used in network troubleshooting. Use available tools to resolve network issues. This two-day course provides detailed coverage of virtual LAN (VLAN) operations. Chapter 1: Course Introduction Course Introduction Chapter 2: Troubleshooting as a Process Before You Begin The Troubleshooting Process Challenging Network Issues The Troubleshooting Process Lab Chapter 3: Junos Product Families The Junos OS Control Plane and Data Plane Field-Replaceable Units Junos Product Families Lab: Identifying Hardware Components Chapter 4: Troubleshooting Toolkit Troubleshooting Tools Best Practices Lab: Using Monitoring Tools and Establishing a Baseline Chapter 5: Hardware and Environmental Conditions Hardware Troubleshooting Overview Memory and Storage Boot Monitoring Hardware-Related System Logs Chassis and Environmental Monitoring Lab: Monitoring Hardware and Environmental Conditions Chapter 6: Control Plane Control Plane Review System and User Processes Monitoring Routing Tables and Protocols Monitoring Bridging Monitoring the Address Resolution Protocol Lab: Control Plane Monitoring and Troubleshooting Chapter 7: Control Plane Protection Protection Overview DDOS Protection Loopback Filter Lab: Control Plane Monitoring and Troubleshooting Chapter 8: Data Plane ? Interfaces Interface Properties General Interface Troubleshooting Ethernet Interface Troubleshooting Lab: Monitoring and Troubleshooting Ethernet Interfaces Chapter 9: Data Plane ? Other Components Definition of a Data Plane Problem Data Plane Components Data Plane Forwarding Load-Balancing Behavior Firewall Filters and Policers Data Plane Troubleshooting Case Study Lab: Isolate and Troubleshoot PFE Issues Chapter 10: Staging and Acceptance Testing Initial Inspection and Power-on General System Checks Interface Testing Chapter 11: Troubleshooting Routing Protocols Troubleshooting OSPF Troubleshooting BGP Troubleshooting Routing Loops and Route Oscillation Lab: Troubleshooting Routing Protocols Chapter 12: High Availability High Availability Overview Graceful Routing Engine Switchover Graceful Restart Nonstop Active Routing and Bridging Unified In-Service Software Upgrade Chapter 13: Network Monitoring SNMP RMON Telemetry Flow Monitoring Lab: Monitoring the Network Chapter 14: vMX Troubleshooting vMX Overview Troubleshooting Lab: Monitoring vMX Chapter 15: JTAC Procedures Opening a Support Case Customer Support Tools The Content of a PR Transferring Files to JTAC Chapter 16: Automated Support and Prevention Overview Service Now Service Insight Lab: Automated Support and Prevention

Unlock your career potential with the Microbiology Lab Technician Diploma. This comprehensive online course covers essential topics, including microbial diversity, laboratory safety, and clinical practices. Gain practical skills and theoretical knowledge to thrive in medical laboratory services. Enrol now to become a qualified microbiology lab technician!

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Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field.  The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum 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 - Layer Tuning for Smaller Network 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 Multi-Layer Perceptron Model Development 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

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Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Intermediate software developers Overview In this course, you will learn to: Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript Interact with AWS services and develop solutions by using the AWS SDK Use AWS Identity and Access Management (IAM) for service authentication Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions Use Amazon Cognito for user authentication Use Amazon ElastiCache to improve application scalability Leverage the CI/CD pipeline to deploy applications on AWS In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips. Module 0: Course Overview Agenda Introductions Student resources Module 1: Introduction to AWS Introduction to the AWS Cloud Cloud scenarios Infrastructure overview Introduction to AWS foundation services Module 2: Introduction to Developing on AWS Getting started with developing on AWS Introduction to developer tools Introduction to management tools Module 3: Introduction to AWS Identity and Access Management Shared responsibility model Introduction to IAM Use authentication and authorization Module 4: Introduction to the Lab Environment Introduction to the lab environment Lab 1: Getting started and working with IAM Module 5: Developing Storage Solutions with Amazon Simple Storage Service Overview of AWS storage options Amazon S3 key concepts Best practices Troubleshooting Scenario: Building a complete application Lab 2: Developing storage solutions with Amazon S3 Module 6: Developing Flexible NoSQL Solutions with Amazon DynamoDB Introduction to AWS database options Introduction to Amazon DynamoDB Developing with DynamoDB Best practices Troubleshooting Scenario: Building an end-to-end app Lab 3: Developing flexible NoSQL solutions with Amazon DynamoDB Module 7: Developing Event-Driven Solutions with AWS Lambda What is serverless computing? Introduction to AWS Lambda Key concepts How Lambda works Use cases Best practices Scenario: Build an end-to-end app Module 8: Developing Solutions with Amazon API Gateway Introduction to Amazon API Gateway Developing with API Gateway Best practices Introduction to AWS Serverless Application Model Scenario: Building an end-to-end app Lab 4: Developing event-driven solutions with AWS Lambda Module 9: Developing Solutions with AWS Step Functions Understanding the need for Step Functions Introduction to AWS Step Functions Use cases Module 10: Developing Solutions with Amazon Simple Queue Service and Amazon Simple Notification Service Why use a queueing service? Developing with Amazon Simple Queue Service Developing with Amazon Simple Notification Service Developing with Amazon MQ Lab 5: Developing messaging solutions with Amazon SQS and Amazon SNS Module 11: Caching Information with Amazon ElastiCache Caching overview Caching with Amazon ElastiCache Caching strategies Module 12: Developing Secure Applications Securing your applications Authenticating your applications to AWS Authenticating your customers Scenario: Building an end-to-end app Module 13: Deploying Applications Introduction to DevOps Introduction to deployment and testing strategies Deploying applications with AWS Elastic Beanstalk Scenario: Building an end-to-end app Lab 6: Building an end-to-end app Module 14: Course wrap-up Course overview AWS training courses Certifications Course feedback