2939 Courses in Cardiff delivered Live Online

Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

Duration 3 Days 18 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. Use advanced analysis techniques. Enhance reports and dashboards. Publish and share reports and dashboards. Extend Power BI beyond the desktop. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Using Advanced Analysis Techniques Topic A: Create Calculated Tables, Variables, and Parameters Topic B: Enhance Visuals with Statistical Analysis Topic C: Perform Advanced Analysis Enhancing Reports and Dashboards Topic A: Enhance Reports Topic B: Enhance Dashboards Publishing and Sharing Reports and Dashboards Topic A: Publish Reports Topic B: Create and Manage Workspaces Topic C: Share Reports and Dashboards Extending Power BI Beyond the Desktop Topic A: Use Power BI Mobile Topic B: Extend Access with the Power BI API Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Professional (Second Edition) (v1.3) 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 3 Days 18 CPD hours This course is intended for This course is suitable for anyone responsible for configuring, managing or supporting a Veeam Availability Suite v11 environment. Overview After completing this course, attendees should be able to: Describe Veeam Availability Suite components usage scenarios and relevance to your environment. Effectively manage data availability in on-site, off-site, cloud and hybrid environments. Ensure both Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) are met. Configure Veeam Availability Suite to ensure data is protected effectively. Adapt with an organization's evolving technical and business data protection needs. Ensure recovery is possible, effective, efficient, secure and compliant with business requirements. Provide visibility of the business data assets, reports and dashboards to monitor performance and risks The Veeam© Availability Suite? v11: Configuration and Management training course is a three-day, technical deep dive focused on teaching IT professionals the skills to configure, manage and support a Veeam Availability Suite v11 solution. With extensive hands-on-labs, the class enables administrators and engineers to effectively manage data in an ever-changing technical and business environment, bringing tangible benefit to businesses in the digital world. This course is based on Veeam Availability Suite v11. Introduction Describe RTOs and RPOs, what they mean for your business, how to manage and monitor performance against them The 3-2-1 Rule and its importance in formulating a successful backup strategy Identify key Veeam Availability Suite components and describe their usage scenarios and deployment types Building backup capabilities Backup methods, the appropriate use cases and impact on underlying file systems Create, modify, optimize and delete backup jobs, including Agents and NAS Backup jobs. Explore different tools and methods to maximize environment performance Ensure efficiency by being able to select appropriate transport modes while being aware of the impact of various backup functions on the infrastructure Building replication capabilities Identify and describe the options available for replication and impacts of using them Create and modify replication jobs, outline considerations to ensure success Introduce the new Continuous Data Protection (CDP) policy Secondary backups Simple vs. advanced backup copy jobs, how to create and modify them using best practices to ensure efficient recovery Discuss using tapes for backups Advanced repository capabilities Ensure repository scalability using a capability such as SOBR on-premises and off-site including integration with cloud storage Ensure compatibility with existing deduplication appliances Introduce the new hardened repository Protecting data in the cloud Review how Veeam can protect the data of a cloud native application Review how Veeam Cloud Connect enables you to take advantage of cloud services built on Veeam Review how Veeam can be used to protect your Office 365 data Restoring from backup Ensure you have the confidence to use the correct restore tool at the right time for restoring VMs, bare metal and individual content such as files and folders Utilize Secure Restore to prevent the restoration of malware Describe how to use Staged Restore to comply with things like General Data Protection Regulation (GDPR) before releasing restores to production Identify, describe and utilize the different explores and instant recovery tools and features Recovery from replica Identify and describe in detail, failover features and the appropriate usage Develop, prepare and test failover plans to ensure recovery Disaster recovery from replica to meet a variety of real-world recovery needs Testing backup and replication Testing backups and replicas to ensure you can recover, what you need, when you need to Configure and setup virtual sandbox environments based on backup, replicas and storage snapshots Veeam Backup Enterprise Manager and Veeam ONE Introduce the concept of monitoring your virtual, physical and cloud environments with Veeam Backup Enterprise Manager and Veeam ONE Configuration backup Locate, migrate or restore backup configuration Additional course details: Nexus Humans VASCM-11 Veeam Availability Suite v11: Configuration and Management 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 VASCM-11 Veeam Availability Suite v11: Configuration and Management 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.

Getting Started Fast-track your journey to becoming a transformative leader through the MBA Advanced Entry route. This route is designed to expedite your progress towards impactful leadership roles. An MBA is a significant milestone for senior managers and aspiring directors, as it combines essential theoretical knowledge with practical skills needed to lead teams and achieve tangible results effectively. Typically pursued after gaining several years of professional experience, an MBA offers numerous benefits, such as enhanced career prospects, a high professional reputation, and an expanded business network. The programme provides access to a global network, a diverse student community, promising career opportunities, and a rigorous academic curriculum. The MBA Advanced Entry route is tailored for individuals with relevant hands-on management experience, a recognised Postgraduate Diploma (PgD) in management, or a comparable qualification. The programme is designed for individuals aspiring to advance their careers in senior management.  It comprises two key components: the Research Methods module and the Consultancy Project Report. The Research Methods module begins with Induction and Research Methods webinars, allowing students to finalise their project research proposals. On the other hand, the Consultancy Project Report module offers an opportunity to explore a specific area of interest within an organisational context. The module emphasises independent thought, continuous learning, and critical reflection. Students must produce a Consultancy Project Report that provides a practical and realistic solution to a strategic business challenge supported by theoretical and conceptual analysis. The MBA Advanced Entry is delivered by the London Graduate School and awarded by the University of Buckingham. School of Business and Technology London partners with the London Graduate School to promote this programme. Throughout the programme, students receive support from the academic team, including a dedicated supervisor to guide them through the Consultancy Project Report module. The MBA Advanced Entry route typically takes 6 to 9 months to complete. Upon successful completion, students are awarded the degree of Master of Business Administration from the University of Buckingham. They also have the option to attend the graduation ceremony held in the UK, commemorating their achievements. The programme aims to provide students with comprehensive support and valuable opportunities for personal and professional growth, ensuring they make the most of their investment in their future. About Awarding Body Buckingham is unique. It is the only independent University in the UK with a Royal Charter and probably the smallest, with around 2,700 students (approx 1,600 on campus). The University campus is well known for being one of the most attractive locations in the region. The Great Ouse River, home to much wildlife, winds through the heart of campus. Each student mixes with over 100 other different nationalities, so being at Buckingham is just like being in a mini global village. These contacts, acquaintances and friendships carry on long after life at Buckingham is over. Ranked Top 10 for Student Satisfaction Ranked Top 10 for Graduate Prospect Recognised by World Education Services (WES) OTHM Qualifications are approved and regulated by Ofqual (Office of Qualifications and Examinations Regulation) and recognised by Qualifications Wales. OTHM qualifications have achieved a reputation for maintaining significant skills in various job roles and industries like Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. OTHM serves the progression option with several UK universities that acknowledges the ability of learners after studying Level 3-7 qualifications to be considered for advanced entry into corresponding degree year/top-up and Master's/top-up programmes. Regulated by ofqual.gov.uk Recognised by World Education Services (WES) Assessment Assignments and Projects No Examinations Entry Requirements To be eligible for the MBA Advanced Entry route, you must meet the following criteria: OTHM Level 7 Diploma in Strategic Management and Leadership A Bachelor's degree or an equivalent higher qualification. Submission of a copy of your valid photo ID to verify your identity. A well-crafted Statement of Purpose outlining your motivations, career aspirations, and reasons for pursuing the MBA Advanced Entry route. An updated Curriculum Vitae (CV) demonstrating a minimum of two years of work experience at the graduate level, either in a managerial or professional capacity. By meeting these application requirements, you will take the initial steps towards joining the MBA Advanced Entry programme, enabling you to enhance your managerial and leadership skills significantly. English Requirements A pass in English at the A level. Completion of a Bachelor's degree programme conducted and assessed in English. An overall score of 6.5 or higher in the International English Language Testing System (IELTS) with a minimum score of 6.0 in each component. A Test of English as a Foreign Language (TOEFL) score of 72 or higher, with a minimum of 18 in reading, 17 in listening, 20 in speaking, and 17 in writing. This includes scores from the Home Edition of TOEFL. In addition to the requirements above, all applicants must participate in a live virtual interview with a staff member from the London Graduate School. Progression An MBA graduate can pursue a fruitful career in many industries. MBA can open career opportunities in various sectors such as banking and financial services, investment banking, management consulting, insurance, hospitality, media, information technology (IT) and marketing. An MBA is often a pathway to promotion or a career change as you will gain a professional reputation and develop essential skills in the sector you choose to pursue. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure MBA Advanced Entry Programme Structure Research Methods Consultancy Project Report Delivery Methods The MBA Advanced Entry delivered by London Graduate School, awarded by the University of Buckingham through distance learning. You will receive excellent support from academic team of London Graduate School, including your programme manager and your supervisor who will be with you every step of the way. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Duration 3 Days 18 CPD hours There are good reasons Adobe Premiere Pro is such a popular post-production video editing software application. It excels for a wide variety of uses; tapeless and DSLR footage; cross-platforms, open workflows for easy collaboration, powerful metadata features for greater editing and production efficiency, plus real-time 3D editing and Virtual Reality. This four-day course is ideal for beginners, as well as Final Cut Pro and Avid editors - or for anyone who is involved in a content creation environment. Adobe Premiere Interface Performing Nonlinear Editing in Premiere Pro Looking at the Standard Digital Video Workflow Enhancing the Workflow with Premiere Pro Expanding the Workflow Incorporating other Components into the Editing Workflow Adobe Creative Cloud Video Workflow Touring the Premiere Pro Workspace Looking at the Workspace Layout Customizing the Workspace Introducing Preferences Keyboard Shortcuts Moving, Backing up, and Syncing User Settings Setting up a Project Setting up a Sequence Setting up the Timeline Importing Media Importing Assets Working with ingest Options and Proxy Media Working with the Media Browser Importing Images Using Adobe Stock Customizing the Media Cache Recording a Voice-over Organizing Media Project Panel Working with Bins Monitoring Footage Modifying Clips Mastering the Essentials of Video Editing Using the Source Monitor Navigating the Timeline Essential Editing Commands Working with Clips and Markers Using Program Monitor Controls Setting the Playback Resolution Playing back VR Video Using Markers Using Sync Lock and Track Lock Finding Gaps in the Timeline Selecting Clips Moving Clips Extracting and Deleting Segments Adding Transitions Understanding Transitions Edit points and Handles Adding Video Transitions Using A/B mode to Fine-tune a Transition Adding Audio Transitions Performing Advanced Editing Techniques Performing Three or Four-point Editing Changing Playback Speed Replacing Clips and Footage Nesting Sequences Performing Regular Trimming Performing Advanced Trimming Trimming in the Program Monitor Putting Clips in Motion Adjusting the Motion Effect Changing Clip Position, Size, and Rotation Working with Keyframe Interpolation Using other Motion-related Effects Multi-camera Editing Following the Multi-camera Process Creating a Multi-camera Sequence Switching Multiple Cameras Finalizing Multi-camera Editing Editing and Mixing Audio Setting up the Interface to Work with Audio Examining Audio Characteristics Creating a Voice-over Scratch Track Adjusting Audio Volume Normalizing Audio Creating a Split Edit Adjusting Audio Levels for a Clip Sweetening Sound Sweetening Sound with Audio Effects Adjusting EQ Cleaning up Noisy Audio Fading Audio with Essential Sounds Adding Video Effects Working with Effects Master Clip Effects Masking and Tracking Visual Effects Keyframing Effects Effect Presets Frequently Used Effects Improving Clips with Color Correction and Grading Following a Color-oriented Workflow An overview of Color-oriented Effects Fixing Exposure Problems Fixing Color Balance Using Special Color Effects Creating a Look Exploring Compositing Techniques Understanding an Alpha Channel Making Compositing Part of Your Projects Working with the Opacity Effect Working with Alpha-channel Transparencies Color Keying a Green Screen Shot Using Mattes Creating Titles An Overview of Shapes & Type Loading in Graphics Using the Essentials Graphic Panel Browsing Templates Saving Templates Mastering Video Typography Essentials Creating Titles Stylizing Text Making Text Roll and Crawl Introducing Captions Managing Your Projects Using the File menu Using the Project Manager Performing the Final Project Management Steps Importing Projects or Sequences Managing Collaboration Using the Libraries Panel Managing Your Hard Drives Exporting Frames, Clips, and Sequences Overview of Export Options Exporting Single Frames Exporting a Master Copy Working with Adobe Media Encoder Uploading to Social Media Exchanging with Other Editing Applications Additional course details: Nexus Humans Adobe Premiere Pro 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 Adobe Premiere Pro 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 Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

An insightful, enjoyable and experiential programme to help you analyse data and information and make a balanced decision based upon sound commercial reasoning. It will enable you to identify options, make decisions and take actions based on a thorough analysis combined with instinct and intuition to make a positive effect on profitability. This programme will help you: Identify ways to analyse data and sort relevant from irrelevant information Develop analytical and numerate thinking, and consider the financial implications of a decision Make decisions based on sound commercial reasoning - a mix of intuition and analysis Select from a range of tools to analyse a situation and apply these effectively Understand how costs and profits are calculated Use tried-and-tested techniques to manage and control your budgets Appreciate the fundamentals of financial analysis Focus on the bottom line Identify the basics of capital investment appraisal for your business Evaluate results and seek opportunities for improvement to your business 1 The commercial environment What do shareholders and investors want? What do managers want? Profit v non-profit organisations Investor expectations 2 Financial and non-financial information Risk and reward considerations Drivers of commercial decisions 3 Running a business A practical exercise to bring financial statements to life Different stakeholder interests in a business The impact and consequences of decisions on financial statements 4 Where do I make a difference to the organisation? How can I contribute to an improved business performance? Key performance indicators - measuring the right things A 'balanced scorecard' approach - it's not all about money! 5 A 'balanced scorecard' approach Analysing and reviewing my contribution to the business direction What is the current focus of my commercial decisions? Developing the business in the right way - getting the balance right! Where should/could it be in the future? Do my decisions support the overall vision and strategy? 6 Making commercial decisions Left-brain and right-brain thinking Convergent and divergent thinking Analysis and instinct Interactive case study exercise - emotional and rational decisions Reflection - what is my style of making decisions 7 Let's consider the customer! Identifying target markets Differentiating propositions and products Customer service considerations Marketing considerations and initiatives Pricing strategies and considerations 8 Strategic analysis The external environment The internal environment LEPEST analysis SWOT analysis Forecasting Group activity - analysing markets and the competition How do these improve your decisions? 9 Comparing performance Analysing key financial ratios Ways to compare performance and results Break-even analysis 10 Profit and loss accounts and budgeting Managing income and expenditure The budgeting process How does this link to the profit and loss account? Managing and controlling a cost centre/budget The role of the finance department Different ways of budgeting Incremental budgeting Zero-based budgeting 11 Understanding the balance sheet Purpose of balance sheets Understanding and navigating the content What does a balance sheet tell you? How do you affect your balance sheet? Links to the profit and loss account A practical team exercise that brings financial statements to life 12 Business decisions exercise How does this improve your decisions? A practical exercise to apply new knowledge and bring commercial thinking to to life The impact and consequences of decisions on financial statements 13 Working capital Why is this important? The importance of keeping cash flowing Business decisions that affect cash Calculating profit 14 Capital investment appraisal Capex v Opex Payback Return on investment The future value of money The concept of hurdle rate 15 Lessons learned and action planning So what? Recap and consolidation of learning The decisions that I need to consider Actions to achieve my plan

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators or network administrators and security professionals Overview By the end of the course, you should be able to meet the following objectives: Describe NSX Advanced Load Balancer architecture Describe the NSX Advanced Load Balancer components and main functions Explain the NSX Advanced Load Balancer key features and benefits Describe NSX Advanced Load Balancer Web Application Firewall architecture Describe the NSX Advanced Load Balancer Web Application Firewall components and main functions Explain the NSX Advanced Load Balancer Web Application Firewall key features and benefits Explain and configure Local Load Balancing constructors such as Virtual Services, Pools, Health Monitors and related components Understand and modify application behavior leveraging Profiles, Policies and DataScripts Configure and customize the NSX Advanced Load Balancer Web Application Firewall Describe and leverage NSX Advanced Load Balancer REST API interfaces and related automation capabilities Describe and configure NSX Advanced Load Balancer Web Application Firewall application and infrastructure monitoring Gather relevant information and perform basic troubleshooting of Web Application Firewall applications leveraging built-in NSX Advanced Load Balancer tooling This three-day course provides comprehensive training on how to configure, maintain and troubleshoot the Web Application Firewall component of the VMware NSX Advanced Load Balancer (Avi Networks) solution as well as provide an understanding of additional security related functionality. This course covers key NSX Advanced Load Balancer (Avi Networks) Web Application Firewall features and functionality offered in the NSX Advanced Load Balancer 18.2 release, including the overall infrastructure, virtual services and application components as well as application troubleshooting and solution monitoring. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and their respective functions Introduction to NSX ALB Web Application Firewall Introduce the NSX Advanced Load Balancer Web Application Firewall Discuss NSX Advanced Load Balancer Web Application Firewall use cases and benefits Virtual Services Configuration Concepts Explain Virtual Service components Explain Virtual Service types Explain and configure basic virtual services components such as Application Profiles, Network Profiles, Pools and Health Monitors Attacking and Defending Web Applications Introduce the processes and methodologies used when attacking and defending web applications Introduce the tools used to attack web applications Explain with examples terminology such as Reflected XSS and SQL injection Profiles and Policies Explain and deep dive on Advanced Virtual Service creation Explain and deep dive on Application Profiles and Types such as L4, DNS, Syslog and HTTP Explain and configure advanced application HTTP Profile options Deep dive on Network Profiles and Types Explain and configure SSL Profiles and Certificates Explain and Configure HTTP and DNS policies DDOS Protection Introduce the NSX Advanced Load Balancer rate limiting functionality Explain the NSX Advanced Load Balancer rate limiting functionality Hands on examples of rate limiting in action Customizing Application Delivery with Datascripts Introduce the concept of datascripts to manipulate data Explain the various components and inspection points IWAF Deep Dive Describe the building blocks of the iWAF implementation Explain the various iWAF components Introduce both Positive and Negative security models Explain the iWAF Policies, profiles and rule sets IWAF Core Rule Set Explain the history and rationale of the core rule set Describe the NSX ALB (Avi) Core Rule Set IWAF Custom Rules Describe the power and complexity available via custom rules Explain the rule language Implement various use cases Explain common errors and possible solutions IWAF Operations Describe the iWAF application onboarding process Tuning the iWAF policies Working with iWAF logs and analytics Explaining false positive mitigation tactics IWAF Best Practices Provide guidance on how to get the best results Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware NSX Advanced Load Balancer: Web Application Firewall Security 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 VMware NSX Advanced Load Balancer: Web Application Firewall Security 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 5 Days 30 CPD hours This course is intended for This course is intended for those responsible for the installation, configuration, maintenance, or troubleshooting of PGP Universal Server or PGP Desktop. Overview This course provides instruction on PGP Universal Server 3.2 and PGP Desktop 10.2.At the completion of the course, you will be able to: Describe the features, concepts, components, and terminology of both the PGP Universal Server 3.2 and PGP Desktop 10.2products. Install PGP Universal Server 3.2 and complete setup using the most commonly configured options. Install a managed and customized PGP Desktop 10.2 client. Configure, complete administration tasks for, and use PGP Whole Disk Encryption and other PGP Desktop features. Configure policy-based messaging security for internal and external recipients. Create and modify users, user policies, and groups using either manual or directory integration methods. Combine two or more PGP Universal Servers into a cluster. This is designed to provide you with the fundamental knowledge a nd hands-on lab experience to install, administer, and troubleshoot the PGP Universal Management Server and primary client product. Cryptography Essentials Cryptography defined Caesar cipher Symmetric-Key Cryptography Public-Key Cryptography PGP Public-Key Cryptography Digital Signatures Trust Models Keys, Key Signatures and Key properties Verifying keys with key fingerprints Passphrases Certificates PGP Product Information PGP Universal Server PGP Desktop PGP Command Line PGP Support Package for BlackBerry PGP Mobile PGP iOS Viewer Installing PGP Universal Server PGP Universal Server overview Installation tasks and options Completing the PGP Universal Server Setup Assistant Administrative Keys A review of trust and verification The Organization Key The Organization Certificate Configuration and usage of the Additional Decryption Key Other certificates used for trust on PGP Universal Server Ignition key types and features Consumers and Groups Consumers and Groups PGP product user definition Consumer groups Introduction to consumer policy How users, groups, and policy work together Server Messaging Learn Mode In-depth look at Mail Proxy configuration Description of server mail flow and typical configurations Monitoring and Reporting Server monitoring and logging Updates, backups, and restoring Mail Policy Definition of policy chains and rules Rule conditions, actions, and key searches Default mail flow and message policy Adding custom chains to mail flow Overview of various types of policy chains Demonstration and detailed explanation of adding a rule Special messaging actions and dictionaries Key Not Found Problems that require a Key Not Found policy Introduction to Key Not Found configuration Web Messenger Definition of Web Messenger Description of functionality Demonstration of end-user inbox creation Inbox and service administration Inbox replication and backup Customization templates Regular Email option for Web Messenger PDF Messenger statement and certified delivery How the Out of Mail Stream Consumer Policy option functions PGP public key directories Smart Trailer invitation option overview PGP Desktop / S/MIME option overview PGP Universal Satellite overview Preparing Universal Server for PGP Desktop Clients Introduction to directory synchronization High-level overview of LDA P How the server uses a directory to add and assign users to groups Configuring PGP Universal Server Directory Synchronization Keys Managed key configuration Key modes Subkeys Key usage flags Smart card Introduction to key management services Installing PGP Desktop System requirements Citrix and TS compatibility Downloading a custom PGP Desktop installer Modifying installed components Configuring Client Enrollment Definition of enrollment Email, LDA P, and Silent enrollment type overview General PGP Desktop Policy General PGP Desktop Policy Options on the General Card of the PGP Desktop settings of a consumer policy Licensing managed PGP Desktop clients Updating settings for managed installations PGP Desktop Messaging How PGP Desktop affects messaging infrastructure Options on the Messaging Card of the PGP Desktop settings of a consumer policy MAPI encrypt and sign buttons and offline mail processing Configuring PGP Whole Disk Encryption What is Whole Dis k Encryption Configuring WDE PGP Whole Disk Encryption for Windows PGP Whole Disk Encryption for Mac OSX PGP w hole Disk Encryption for Linux PGP Whole Disk Encryption Management and Recover The pgpwd command-line tool Logon failure and reporting The WDE-ADMIN group for large-scale administration PGP Whole Disk Encryption in the PGP Desktop settings of a consumer policy, including authentication methods and user per missions Recovery options PGP NetShare Defining PGP NetShare Encrypted folder creation Configuration of the PGP Universal Server Consumer Policy options for NetShare, including automated folder protection and application-based file protection Client-side administration features for PGP NetShare Miscellaneous compatibility and feature information about PGP NetShare Active Directory Group integration and PGP NetShare usage demonstrations Other PGP Desktop Utilities PGP Zip file and folder protection Securely erasing information using PGP Shredder and the Shred Free Space features PGP Virtual Disk secure volumes Usage cases and PGP Portable definition Clustering How PGP Universal Server Clustering works Using the DMZ Clustering Zone Cluster failover Web Messenger inbox replication Demonstration of cluster creation

Duration 2 Days 12 CPD hours This course is intended for This introduction to Spring development course requires that incoming students possess solid Java programming skills and practical hands-on Java experience. This class is geared for experienced Java developers who are new to Spring, who wish to understand how and when to use Spring in Java and JEE applications. Overview Working in a hands-on learning environment, led by our expert practitioner, students will: Explain the issues associated with complex frameworks such as JEE and how Spring addresses those issues Understand the relationships between Spring and JEE, AOP, IOC and JDBC. Write applications that take advantage of the Spring container and the declarative nature of assembling simple components into applications. Understand how to configure the Spring Boot framework Understand and work on integrating persistence into a Spring application Explain Spring's support for transactions and caching Work with Spring Boot to facilitate Spring setup and configuration Apply Aspect Oriented Programming (AOP) to Spring applications Become familiar with the conditionally loading of bean definitions and Application Contexts Understand how to leverage the power of Spring Boot Use Spring Boot to create and work with JPA repositories Introduction to Spring Boot | Spring Boot Quick Start is a hands-on Spring training course geared for experienced Java developers who need to understand what the Spring Boot is in terms of today's systems and architectures, and how to use Spring in conjunction with other technologies and frameworks. This leading-edge course provides added coverage of Spring's Aspect-Oriented Programming and the use of Spring Boot. Students will gain hands-on experience working with Spring, using Maven for project and dependancy management, and, optionally, a test-driven approach (using JUnit) to the labs in the course. The Spring framework is an application framework that provides a lightweight container that supports the creation of simple-to-complex components in a non-invasive fashion. Spring's flexibility and transparency is congruent and supportive of incremental development and testing. The framework's structure supports the layering of functionality such as persistence, transactions, view-oriented frameworks, and enterprise systems and capabilities. This course targets Spring Boot 2 , which includes full support for Java SE 11 and Java EE 8. Spring supports the use of lambda expressions and method references in many of its APIs. The Spring Framework Understand the value of Spring Explore Dependency Injection (DI) and Inversion of Control (IoC) Introduce different ways of configuring collaborators Spring as an Object Factory Initializing the Spring IoC Container Configuring Spring Managed Beans Introduce Java-based configuration The @Configuration and @Bean annotations Define bean dependencies Bootstrapping Java Config Context Injection in Configuration classes Using context Profiles Conditionally loading beans and configurations Bean Life-Cycle Methods Defining Bean dependencies Introduce Spring annotations for defining dependencies Explore the @Autowired annotation Stereotype Annotations Qualifying injection points Lifecycle annotations Using properties in Java based configuration The @Value annotation Using the Candidate Components Index Introduction to Spring Boot Introduce the basics of Spring Boot Explain auto-configuration Introduce the Spring Initializr application Bootstrapping a Spring Boot application Working with Spring Boot Provide an overview of Spring Boot Introduce starter dependencies Introduce auto-configuration @Enable... annotations Conditional configuration Spring Boot Externalized Configuration Bootstrapping Spring Boot Introduction to Aspect Oriented Programming Aspect Oriented Programming Cross Cutting Concerns Spring AOP Spring AOP in a Nutshell @AspectJ support Spring AOP advice types AspectJ pointcut designators Spring Boot Actuator Understand Spring Boot Actuators Work with predefined Actuator endpoints Enabling Actuator endpoints Securing the Actuator Developing in Spring Boot Introduce Spring Boot Devtools Enable the ConditionEvaluationReport Debugging Spring Boot applications Thymeleaf Provide a quick overview of Thymeleaf Introduce Thymeleaf templates Create and run a Spring Thymeleaf MVC application Additional course details: Nexus Humans Spring Boot Quick Start | Core Spring, Spring AOP, Spring Boot 2.0 and More (TT3322) 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 Spring Boot Quick Start | Core Spring, Spring AOP, Spring Boot 2.0 and More (TT3322) 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.