Course Overview This Barista Training course provides a comprehensive introduction to the essential skills and knowledge required to excel in coffee making. Learners will gain a deep understanding of the coffee industry, from the basics of coffee beans to advanced espresso techniques. The course covers key areas such as machine operation, grinding, milk frothing, and latte art, equipping students with the confidence and competence to perform in a variety of coffee-related settings. Whether you're aiming to work in a café or enhance your skills for personal interest, this course offers valuable insights into the world of coffee. Course Description The Barista Training course is designed to provide learners with a solid foundation in coffee-making, starting with the origins of coffee beans and their journey to your cup. Topics include the operation of espresso machines and grinders, understanding the mechanics of espresso brewing, and perfecting the art of milk frothing and latte design. Learners will also explore menu creation and the essential skills required to manage the bar area. By the end of the course, students will have a clear understanding of the barista role and will be able to create a variety of espresso-based drinks, ensuring a top-quality coffee experience. This course offers both theoretical knowledge and practical expertise for anyone looking to build a career or deepen their knowledge of coffee culture. Course Modules Module 01: Introduction to Coffee Module 02: Espresso Machine Module 03: Espresso Grinder Module 04: Introduction to Espresso & Espresso Mechanics Module 05: Let's Wrap Up Module 06: Milk Frothing Module 07: Latte Art Module 08: Menu Module 09: Behind The Bar (See full curriculum) Who is this course for? Individuals seeking to pursue a career in the coffee industry. Professionals aiming to improve their barista skills. Beginners with an interest in learning about coffee making. Coffee enthusiasts looking to develop a deeper understanding of brewing techniques. Career Path Barista Coffee Shop Manager Café Owner Espresso Specialist Coffee Trainer
Course Overview This course provides a comprehensive introduction to European Medical Device Regulations (EU MDR), offering learners essential knowledge on the regulatory framework that governs medical devices in the European market. It covers the key components of the EU MDR, ensuring compliance with industry standards and regulations, and highlights the importance of quality systems and reporting requirements. Through this course, learners will gain a solid understanding of how to navigate and implement these regulations in their professional practice. This course is ideal for individuals seeking to expand their expertise in medical device regulation and is invaluable for those aiming to work within the medical device industry in Europe. Course Description The "Essentials of European Medical Device Regulations" course delves into the critical aspects of the EU MDR, including its foundational components, regulatory compliance, and the reporting and identification requirements for medical devices. Learners will explore the essential guidelines for ensuring quality systems are in place to maintain product safety and regulatory compliance. With a focus on practical scenarios and real-world applications, this course equips learners with the necessary skills to interpret and implement these regulations effectively. The course is designed for professionals looking to enhance their understanding of medical device regulations within the European market, offering in-depth insights into the key elements of the EU MDR and its impact on the industry. Course Modules Module 01: Overview to European Regulations on Medical Devices Module 02: Essential Components of EU MDR Module 03: Reporting Requirements and Identification Module 04: Quality System in Medical Device Regulation (See full curriculum) Who is this course for? Individuals seeking to understand European medical device regulations. Professionals aiming to enhance their regulatory compliance expertise. Beginners with an interest in the medical device industry. Regulatory professionals in the healthcare and life sciences sector. Career Path Regulatory Affairs Specialist Compliance Manager in the medical device industry Quality Assurance Manager Medical Device Consultant European Market Access Manager
Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance
Course Overview: This course on "Flat Design in Adobe Illustrator" is designed to introduce learners to the fundamental concepts of flat design and how to apply them using Adobe Illustrator. The course covers the essential tools, techniques, and strategies needed to create visually engaging, modern flat design illustrations. Learners will explore the creation of various designs, from simple icons to complex landscapes, while developing a keen understanding of colour schemes, vector shapes, and design principles. By the end of the course, students will be able to confidently create flat design graphics, suitable for use in digital marketing, UI/UX design, and illustration projects. Course Description: In this course, learners will delve deep into the world of flat design, starting with the basics of Adobe Illustrator and progressing through to more complex design concepts. Key topics include creating diverse scenes, such as a garden, landscape, and camping scene, and designing flat icons for smartphones and apps. The course will cover essential tools and workflows in Illustrator, focusing on clean, minimalist design that is effective for web and app environments. Learners will also gain insights into balancing colour, shapes, and negative space to achieve professional and aesthetically pleasing results. Upon completion, learners will have a well-rounded skill set for designing contemporary flat style graphics in Illustrator. Course Modules: Module 01: Introduction Module 02: Create a Flat Design Garden and Barbecue Module 03: Create a Flat Design Landscape Scene Module 04: Create a Modern Flat Design Night Camping Scene Module 05: Create a Modern Flat Design Terminal and Luggage Module 06: Design a Flat Design Smartphone and App Icons (See full curriculum) Who is this course for? Individuals seeking to master flat design techniques in Adobe Illustrator. Professionals aiming to enhance their design portfolios with modern graphic styles. Beginners with an interest in graphic design and digital illustration. Anyone looking to build skills for creating digital assets like icons and visuals. Career Path: Graphic Designer UI/UX Designer Web Designer Digital Illustrator App Designer Visual Content Creator
Course Overview: "Herbalism: Herbs and Foods for Long-term Health" explores the use of herbs and natural foods to enhance and maintain health over the long term. This course provides learners with comprehensive knowledge of the role of nutrition, herbal remedies, and lifestyle choices in supporting well-being. With a focus on prevention and holistic health practices, learners will gain an understanding of the healing properties of various herbs, their uses in daily life, and how to incorporate them into long-term health strategies. By the end of the course, learners will be equipped with the knowledge to make informed choices about their health, based on a deep understanding of the connection between herbs, food, and wellness. Course Description: This course offers an in-depth exploration of the most effective herbs and foods that contribute to long-term health. Topics covered include the therapeutic properties of various herbs, their traditional uses in medicine, and how they can be incorporated into diets to boost immunity, prevent illness, and enhance vitality. Learners will also delve into the science behind herbalism, with an emphasis on understanding how specific herbs and foods interact with the body. The course provides valuable insights into nutrition, digestive health, detoxification, and how to integrate herbal remedies into daily wellness routines. By the end of the course, learners will possess a thorough understanding of herbalism and its role in sustaining long-term health. Course Modules: Module 01: Introduction to Herbalism and Long-Term Health Module 02: Key Herbs for Immune Support Module 03: Foods for Vitality and Longevity Module 04: Herbal Remedies for Digestive Health (See full curriculum) Who is this course for? Individuals seeking to improve their overall health and wellness. Professionals aiming to expand their knowledge in natural health practices. Beginners with an interest in herbalism and natural medicine. Health enthusiasts looking to incorporate herbs and natural foods into their lifestyles. Career Path: Herbalist Nutritionist Health Coach Wellness Consultant Alternative Medicine Practitioner
Course Overview This Sexual Harassment Awareness Training is designed to equip individuals with the knowledge and skills to recognise, address, and prevent sexual harassment in the workplace. Covering key concepts, legal frameworks, and organisational responsibilities, the course provides essential insights into maintaining a respectful and safe work environment. Participants will gain a thorough understanding of what constitutes sexual harassment, how to identify it, and how to manage such situations effectively. By completing this course, learners will be better prepared to contribute to a respectful and legally compliant workplace culture. Course Description This course delves into various aspects of sexual harassment, from definitions to workplace implications, and legal frameworks. It covers the different forms of harassment, employee rights, and employer obligations. Learners will explore how to effectively address and prevent incidents of harassment, ensuring worker protection through robust policies and procedures. The course also covers the process of dealing with incidents, including mediation and the aftermath, helping individuals recognise the importance of fostering a safe, respectful work environment. Upon completion, learners will have the skills to proactively contribute to creating a harassment-free workplace. Course Modules Module 01: What is Sexual Harassment? Module 02: Sexual Harassment in the Workplace Module 03: The Law and Sexual Harassment Module 04: Addressing Sexual Harassment Module 05: Worker Protection Module 06: Prevent Sexual Harassment at Work Module 07: Policies and Procedures Module 08: How to Deal with Sexual Harassment in the Workplace? Module 09: Mediation and the Aftermath (See full curriculum) Who is this course for? Individuals seeking to understand workplace dynamics and employee rights. Professionals aiming to enhance their knowledge of workplace law and ethical practices. Beginners with an interest in workplace relations and human resources. Any other individual interested in fostering a respectful workplace environment. Career Path HR Manager Equality and Diversity Officer Workplace Health and Safety Specialist Legal Advisor (Employment Law) Corporate Trainer or Consultant
Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.
Duration 5 Days 30 CPD hours This course is intended for This course is for IT administrators who will be maintaining and installing software, taking inventory of computers, distributing software updates to computers or remotely managing computers. Overview Upon completion of this course, students will be able to: Discover and import computer and user resources that you want to manage. Deploy the Symantec Management Agent and plug-ins. Gather hardware, software and operating system inventory from managed computers. Maintain a software catalog containing software components. Deliver software to managed computers. Meter software on managed computers. Distribute software updates to managed computers. Remotely manage computers. Analyze gathered data using predefined reports. This hands-on course teaches students the underlying components and concepts of the Symantec Management Platform along with the Symantec Management Console that is used by CMS to perform its management functions. Introduction Course overview The classroom lab environment Understanding the Symantec Client Management Suite Symantec Client Management Suite demonstration Learning about the Symantec Client Management Suite Symantec Management Platform components used by CMS Symantec Management Platform concepts used by CMS How the platform and CMS work The Symantec Management Console Accessing the Symantec Management Console Getting to know the Symantec Management Console Getting to know the enhanced console views Symantec Management Platform Basics Importing computer resources from Active Directory Discover computer resources using Network Discovery Grouping resources Applying CMS policies to resource targets Deploying the Symantec Management Agent Installing the Symantec Management Agent - push method Installing the Symantec Management Agent - pull method Installing solution plug-ins for the Symantec Management Agent Working with the Symantec Management Agent GUI Working with the Symantec Management Agent health settings Gathering Inventory from Managed Computers Introducing Inventory Solution Creating and configuring inventory policies Using inventory tasks Other Inventory Solution capabilities Introducing inventory reports Managing the Software Catalog Preparing the Software Management Framework to support the Software Catalog Populating the Software Catalog with software components Working with software component resources Creating and configuring software products Delivering Software to Managed Computers Choosing a method to deliver software Understanding the software blade of the enhanced console view Managing software deliveries with tasks Installing software using a managed software delivery policy Introducing software management reports Managing Software with Application Metering Understanding Application Metering Tracking software usage on managed computers Metering software with Application Metering policies Application metering reports Managing Organizational Views and Organizational Groups Learning about organizational views and groups Creating custom organizational views and group Managing organizational views and groups Managing Resource Filters and Resource Targets More about resource filters Managing and working with existing filters Creating and modifying filters More about resource targets Working with targets Managing Software Updates on Windows Computers Introducing Patch Management Solution for Windows Preparing your environment for Patch Management Distributing software updates Patch Management Solution reports Managing Virtualized Software Introducing Symantec Workspace Virtualization Installing the Symantec Workspace Virtualization agent Using CMS to deliver virtualized software Remotely Managing Computers Introducing Symantec Remote Access Connector Overview or Real-Time System Manger Remote management reports Managing Policies Getting to know policies Understanding user-based policies Understanding maintenance windows Configuring automation policies Managing shared schedules Managing Jobs and Tasks Overview of task management Creating and scheduling tasks and jobs Overview of Deployment Solution Introducing Deployment Solution Configuring Deployment Solution Creating and managing deployment jobs and tasks Deployment Solution imaging Reporting Introducing reports Using and creating standard reports Configuring and using IT Analytics Solution Site Management Introducing site management Managing sites, subnets and site servers Reviewing site server plug-ins to the Symantec Management Agent Configuring site services Security Learning about security Managing user accounts, security roles, and privileges Managing permissions Additional course details: Nexus Humans Symantec Client Management Suite 7.6 - Administration 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 Symantec Client Management Suite 7.6 - Administration 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 appropriate for advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Students can apply the course skills to use Python in basic web development projects or automate or simplify common tasks with the use of Python scripts. Overview This skills-focused course is about 50% hands-on lab to lecture ratio, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert instructor, you'll learn how to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Work with with the standard library and its work-saving modules Create 'real-world', professional Python applications Know when to use collections such as lists, dictionaries, and sets Work with Pythonic features such as comprehensions and iterators Write robust code using exception handling Introduction to Python Programming Basics is a hands-on Python programming course that teaches you the key skills you?ll need to get started with programming in Python to a solid foundational level. The start of the course will lead you through writing and running basic Python scripts, and then guide you through how to use more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This course provides you with an excellent kick start for users new to Python and scripting, enabling you to quickly use basic Python skills on the job in a variety of ways. You?ll be able use Python in basic web development projects, or use it to automate or simplify common tasks with the use of Python scripts. The course also serves as a solid primer course / foundation for continued Python study in support for next level web development with Python, using Python in DevOps, Python for data science / machine learning or Python for systems admin or networking support. Python Quick View What is Python? Python timeline Advantages/disadvantages Installing Python Getting help The Python Environment Starting Python Using the interpreter Running a Python script Editors and IDEs Getting Started with Python Using variables Builtin functions String data Numberic data Converting types Console input/output Command line parameters Flow Control About flow control The if statement Relational and Boolean operators while loops Exiting from loops Array Types About array types Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions and generators Working with Files File overview Opening a text file Reading a text file Writing to a text file Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Returning values Parameters and arguments Variable scope Sorting The sorted() function Custom sort keys Lambda functions Sorting in reverse Using min() and max() Errors and Exception Handling Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Using packages Function and module aliases Getting Started with Object Oriented Programming and Classes About object-oriented programming Defining classes Constructors Understanding self Properties Instance Methods and data Class methods and data Inheritance Additional course details: Nexus Humans Introduction to Python Programming Basics (TTPS4800) 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 Introduction to Python Programming Basics (TTPS4800) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 4 Days 24 CPD hours This course is intended for This course benefits individuals responsible for implementing, monitoring, and troubleshooting Juniper security components. Overview After successfully completing this course, you should be able to: Demonstrate understanding of concepts covered in the prerequisite Juniper Security courses. Describe the various forms of security supported by the Junos OS. Describe the Juniper Connected Security model. Describe Junos security handling at Layer 2 versus Layer 3. Implement next generation Layer 2 security features. Demonstrate understanding of Logical Systems (LSYS). Demonstrate understanding of Tenant Systems (TSYS). Implement virtual routing instances in a security setting. Describe and configure route sharing between routing instances using logical tunnel interfaces. Describe and discuss Juniper ATP and its function in the network. Describe and implement Juniper Connected Security with Policy Enforcer in a network. Describe firewall filters use on a security device. Implement firewall filters to route traffic. Explain how to troubleshoot zone problems. Describe the tools available to troubleshoot SRX Series devices. Describe and implement IPsec VPN in a hub-and-spoke model. Describe the PKI infrastructure. Implement certificates to build an ADVPN network. Describe using NAT, CoS and routing protocols over IPsec VPNs. Implement NAT and routing protocols over an IPsec VPN. Describe the logs and troubleshooting methodologies to fix IPsec VPNs. Implement working IPsec VPNs when given configuration that are broken. Describe Incident Reporting with Juniper ATP On-Prem device. Configure mitigation response to prevent spread of malware. Explain SecIntel uses and when to use them. Describe the systems that work with SecIntel. Describe and implement advanced NAT options on the SRX Series devices. Explain DNS doctoring and when to use it. Describe NAT troubleshooting logs and techniques. This four-day course, designed to build off the current Juniper Security (JSEC) offering, delves deeper into Junos security, next-generation security features, and ATP supporting software. Chapter 1: Course Introduction Course Introduction Chapter 2: Junos Layer 2 Packet Handling and Security Features Transparent Mode Security Secure Wire Layer 2 Next Generation Ethernet Switching MACsec Lab 1: Implementing Layer 2 Security Chapter 3: Firewall Filters Using Firewall Filters to Troubleshoot Routing Instances Filter-Based Forwarding Lab 2: Implementing Firewall Filters Chapter 4: Troubleshooting Zones and Policies General Troubleshooting for Junos Devices Troubleshooting Tools Troubleshooting Zones and Policies Zone and Policy Case Studies Lab 3: Troubleshooting Zones and Policies Chapter 5: Hub-and-Spoke VPN Overview Configuration and Monitoring Lab 4: Implementing Hub-and-Spoke VPNs Chapter 6: Advanced NAT Configuring Persistent NAT Demonstrate DNS doctoring Configure IPv6 NAT operations Troubleshooting NAT Lab 5: Implementing Advanced NAT Features Chapter 7: Logical and Tenant Systems Overview Administrative Roles Differences Between LSYS and TSYS Configuring LSYS Configuring TSYS Lab 6: Implementing TSYS Chapter 8: PKI and ADVPNs PKI Overview PKI Configuration ADVPN Overview ADVPN Configuration and Monitoring Lab 7: Implementing ADVPNs Chapter 9: Advanced IPsec NAT with IPsec Class of Service with IPsec Best Practices Routing OSPF over VPNs Lab 8: Implementing Advanced IPsec Solutions Chapter 10: Troubleshooting IPsec IPsec Troubleshooting Overview Troubleshooting IKE Phase 1 and 2 IPsec Logging IPsec Case Studies Lab 9: Troubleshooting IPsec Chapter 11: Juniper Connected Security Security Models Enforcement on Every Network Device Chapter 12: SecIntel Security Feed Encrypted Traffic Analysis Use Cases for SecIntel Lab 10: Implementing SecIntel Chapter 13:Advanced Juniper ATP On-Prem Collectors Private Mode Incident Response Deployment Models Lab 11: Implementing Advanced ATP On-Prem Chapter 14: Automated Threat Mitigation Identify and Mitigate Malware Threats Automate Security Mitigation Lab 12: Identifying and Mitigation of Threats Additional course details: Nexus Humans AJSEC - Advanced Junos 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 AJSEC - Advanced Junos 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.