57527 Courses

Duration 4.125 Days 24.75 CPD hours This course is intended for Managers or consultants seeking to prepare and support an organization in planning, implementing, and maintaining a compliance program based on the GDPR DPOs and individuals responsible for maintaining conformance with the GDPR requirements Members of information security, incident management, and/or business continuity teams Technical and compliance experts seeking to prepare for a data protection officer role Expert advisors involved in the security of personal data Overview Understand the concepts of the GDPR and interpret its requirements Understand the content and the correlation between the General Data Protection Regulation and other regulatory frameworks and applicable standards, such as ISO/IEC 27701 and ISO/IEC 29134 Develop the ability to inform, advise, and monitor compliance with the GDPR and cooperate with the supervisory authority Acquire the competence to perform the role and daily tasks of the data protection officer in an organizationit Considering that data breaches have become highly sophisticated in the recent years, the need for data protection has increased as well.Information Security is crucial to the success of any organization since it deals with the protection of sensitive data from unauthorized access, use, replication and destruction. As such, organizations should put in place measures and controls to manage and diminish Information Security risks and comply with GDPR requirements. In case organizations fail to comply with the GDPR requirements, the penalties can reach up to 2% of an organization?s annual turnover. Also, in case of more serious infringements, the penalties can amount to 4% of an organization?s annual revenue. The implementation of a Privacy Framework, on the other hand, will allow professionals to develop and implement reliable controls that are generally accepted.Becoming a Certified Data Protection Officer will enable you to acquire the necessary expertise to understand the risks that could have a negative impact on your organization and implement the required strategic responses based on the GDPR best practices, requirements and principles. Introduction to the GDPR concepts and principles Training course objectives and structure General Data Protection Regulation (GDPR) Core considerations for the GDPR Designation of the DPO and analysis of the GDPR compliance program Designation of the DPO Analysis of the GDPR compliance program Relationship with the top management Data protection policy Register of processing activities Risk management process DPO operations Data protection impact assessment Documentation management Evaluation of the data protection controls Data protection and technology Awareness, training, and communication Monitoring and continual improvement of GDPR compliance Incident management and personal data breaches Monitoring and measuring compliance Data protection internal audit Treatment of nonconformities Continual improvement Closing the training course

Duration 3 Days 18 CPD hours This course is intended for This course is recommended for technical professionals who perform advanced deployment configurations of Check Point products. Overview Provide an overview of the upgrade service and options available. Explain how to perform management upgrade and migration. Articulate the process using CPUSE features. Articulate the purpose and function of Management High Availability. Explain Primary vs Secondary, Active vs Standby and Synchronization. Explain disaster recovery steps in case the primary management server becomes unavailable. Provide overview of Central Deployment in SmartConsole. Articulate an understanding of Security Gateway cluster upgrade methods. Explain about Multi Version Cluster (MVC) upgrades. Discuss Gaia Commands and how they are used. Explain the main processes on s and s. Describe how to work with scripts and SmartTasks to configure automatic actions. Explain the Management Data Plane Separation (MDPS) Explain kernel operations and traffic flow Articulate Dynamic and Updatable Objects in Security Gateways Explain the policy installation flow and files used. Describe the use of policy installation history. Explain concurrent and accelerated install policy. Describe an overview of APIs and ways to use and authenticate. Explain how to make changes in GAIA and management configuration. Explain how to install policy using API. Explain how the SecureXL acceleration technology enhances and optimizes Security Gateway performance. Describe how the CoreXL acceleration technology enhances and improves Security Gateway performance. Articulate how utilizing multiple traffic queues can make traffic handling more efficient. Discuss Site-to-Site VPN basics, deployment and communities. Describe how to analyze and interpret VPN tunnel traffic. Explain Link Selection and ISP Redundancy options. Explain tunnel management features. Discuss Check Point Remote Access solutions and how they differ from each other. Describe how client security can be provided by Remote Access . Explain authentication methods including machine authentication. Explain Multiple Entry Point (MEP). Discuss the Mobile Access Software Blade and how it secures communication and data exchange during remote connections. Learn basic concepts and develop skills necessary to administer IT security fundamental tasks. Course Outline Prepare for a Security Management Server Upgrade Upgrade the Security Management Server Deploy a Secondary Security Management Server Configure a Distributed Log Server Upgrade a Security Gateway from SmartConsole Work with the Command Line Use Scripts and SmartTasks Configure Dynamic Objects Monitor Traffic Verify Policy Installation and Status Work with Gaia and Management APIs Work with Acceleration Features Configure a Locally Managed Site to Site VPN Configure a Site to Site VPN with an Interoperable Device Configure Remote Access VPN Configure Mobile Access VPN Configure a High Availability Cluster Work with ClusterXL Configure Policy Compliance Deploy SmartEvent

This course is developed for staff and volunteers to raise awareness of drug and alcohol misuse issues and are adequately informed and enabled to work effectively with individuals with dependencies.

About UX Academy: UX Academy provides live online hands-on training to help you take the next step in your career no matter what level you’re at. Offering Beginner, Intermediate UX courses, Product Design, Strategy and Voice Design developed in collaboration with Amazon.

Duration 5 Days 30 CPD hours This course is intended for Change Managers: Responsible for documentation, approval and change processes System Landscape Architects: Responsible for the design of the transport landscape topology System Administrators: Responsible for executing transports Development Managers: Responsible for performing development changes Application Manager: Responsible for approving and performing changes in an application Support Manager and members of the customer's SAP competence center: Responsible for Reporting and Diagnostics capabilities Partners and System Integrators Overview This course will prepare you to: Describe the concept and methods of E2E Change Control Management. Leverage the SAP Solution Manager 7.2 as application platform for E2E Change Control Management. In this course you will learn how change control management coordinates changes that are introduced into a software landscape so that the changes do not conflict with each other and how to make sure the changes are executed without disrupting ongoing business. This results in improved quality of the software landscape, higher availability of IT solutions, and lower total cost of ownership. Also important, change control management ensures that the changes introduced remain transparent, traceable and are made available for reporting and change analysis. Becoming adept at change control management requires skill in the efficient use of standardized methods and procedures. In this ?how to use? training, SAP imparts best-in-class knowledge of solution operations. The End-to-End Change Control Management course introduces participants to what change control management is and the standard tools used to accomplish it, tools provided by SAP Solution Manager. Introduction to E2E Change Control Management Explain the scope of End-to-End Change Control Management Explain the role of SAP Solution Manager to manage changes in your solution landscape Enhanced Change and Transport System Explain how the Enhanced Change and Transport System (CTS+) works Understand the basic concepts of Enterprise Portal and how it is supported by CTS+ Describe the best practices for the setup and usage of CTS+ in different scenarios Configuration Validation Understand the concepts and architecture of E2E Change Diagnostics Find current configuration information with the Change Reporting tool Find recent changes in the solution landscape with the E2E Change Analysis tool Compare multiple systems with the Configuration Validation tool Create targets, use operators and run validation reports Know how to use predefined reports in the report directory Transport and Execution Analysis Service and Transport and Execution Analysis Service for Projects Know how to run and use this self-check services within SAP Solution Manager Understand how to interpret the software change management KPIïs that are collected for your landscape Software Change Strategy Understand the limitations of a three-system landscape Understand the benefits of bundling changes in cycles and synchronized releases Transport Management with SAP Solution Manager Understand the change control landscape concept for transport management in SAP Solution Manager 7.2 Understand the usage of critical objects, cross system object locking and downgrade protection Know how to use retrofit in a dual landscape Understand the features of cCTS, which can be used for Quality Gate Management and Change Request Management parallel to CTS. Quality Gate Management Explain the concept of Solution Transports and Track Synchronization Setup and use Quality Gate Scenario as a central Transport Management Tool Create and release transport requests centrally in SAP Solution Manager for ABAP and Non-ABAP environments Know how to work within the Quality Gate Scenario Change Request Management Understand the different use cases for Change Request Management Describe the various elements of Change Request Management as part of SAP Solution Manager Understand SAP?s best practices for transport management which are implemented in Change Request Management Know how to work with Change Request Management Release Management Learn how to manage Release Management with SAP Solution Manager Understand how to manage the successful deployment of all related changes into the productive environment.

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for technical professionals who support, install, deploy or administer Check Point products. This course is recommended for technical professionals who perform advanced deployment configurations of Check Point products. Overview CCSA Know how to perform periodic administrator tasks. Describe the basic functions of the Gaia operating system. Recognize SmartConsole features, functions, and tools. Understand how SmartConsole is used by administrators to give user access. Learn how Check Point security solutions and products work and how they protect networks. Understand licensing and contract requirements for Check Point security products. Describe the essential elements of a Security Policy. Understand the Check Point policy layer concept. Understand how to enable the Application Control and URL Filtering software. Blades to block access to various applications. Describe how to configure manual and automatic NAT. Identify tools designed to monitor data, determine threats and recognize opportunities for performance improvements. Describe different Check Point Threat Prevention solutions for network attacks. Articulate how the Intrusion Prevention System is configured, maintained and tuned. Understand the Infinity Threat Prevention system. Knowledge about Check Point's IoT Protect. CCSE Provide an overview of the upgrade service and options available. Explain how to perform management upgrade and migration. Articulate the process using CPUSE features. Articulate the purpose and function of Management High Availability. Explain Primary vs Secondary, Active vs Standby and Synchronization. Explain disaster recovery steps in case the primary management server becomes unavailable. Provide overview of Central Deployment in SmartConsole. Articulate an understanding of Security Gateway cluster upgrade methods. Explain about Multi Version Cluster (MVC) upgrades. Discuss Gaia Commands and how they are used. Explain the main processes on s and s. Describe how to work with scripts and SmartTasks to configure automatic actions. Explain the Management Data Plane Separation (MDPS) Explain kernel operations and traffic flow Articulate Dynamic and Updatable Objects in Security Gateways Explain the policy installation flow and files used. Describe the use of policy installation history. Explain concurrent and accelerated install policy. Describe an overview of APIs and ways to use and authenticate. Explain how to make changes in GAIA and management configuration. Explain how to install policy using API. Explain how the SecureXL acceleration technology enhances and optimizes Security Gateway performance. Learn basic concepts and develop skills necessary to administer IT security fundamental tasks. CCSA Outline Configure the Security Management Server. Use the WebUI to run the First Time Wizard. Install the Smart Console. Install the Alpha Gateway using the network detailed in the course topology. Demonstrate how the Security Management Server and Gateway communicate. Test SIC Status. Create multiple administrators and apply different roles and permissions for simultaneous administration. Validate existing licenses for products installed on the network. Create and configure host, network and group objects. Create a simplified Security Policy. Demonstrate how to use Security Zones in policy. Demonstrate how to share a layer between Security Polices. Configure Network Address Translation for server and network objects. Enable Identity Awareness. Deploy user access roles for more granular control of the security Policy. Generate network Traffic and use traffic visibility tools to monitor the data. Use SmartConsole and SmartView Monitor to view status, alerts, and block suspicious traffic. CCSE Outline Prepare for a Security Management Server Upgrade Upgrade the Security Management Server Deploy a Secondary Security Management Server Configure a Distributed Log Server Upgrade a Security Gateway from SmartConsole Work with the Command Line Use Scripts and SmartTasks Configure Dynamic Objects Monitor Traffic Verify Policy Installation and Status Work with Gaia and Management APIs Work with Acceleration Features Configure a Locally Managed Site to Site VPN Configure a Site to Site VPN with an Interoperable Device Configure Remote Access VPN Configure Mobile Access VPN Configure a High Availability Cluster Work with ClusterXL Configure Policy Compliance Deploy SmartEvent

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Today's administrative professional needs flexibility and a broad portfolio of skills including self-motivation, assertiveness, and the ability to deal with difficult people. You will benefit from this course if you are an administrator, medical/legal secretary or PA, who wants to enhance your administrative support skills, as well as evaluating your existing techniques. This course will help you identify: your areas of strength and your areas for improvement in the work environment ways to accept new challenges and responsibilities with confidence what motivates you at work techniques to improve your planning and time management ways of improving your influencing and assertiveness skills your preferred working style (and relate it to your interaction with others) ways of using your initiative how to deal with challenging people, using recognised communication methods The course will help you develop a flexible set of skills that will allow you to succeed at work, no matter what the day throws at you. It will help you communicate effectively with a diverse range of colleagues and others with tact and diplomacy. And, finally, it will help you provide the administrative support that is essential for the smooth running of your area and of the organisation as a whole. 1 Introduction Overview Introductions Individual objectives 2 What exactly is your role? Before looking at new skills and techniques, where are you now? Do you have the skills, knowledge and attitude required to be an exceptional administrator? Understand your job criteria Identifying your strengths and areas for development Activity - skills analysis Activity - action plan 3 Building trust How can you build trust? Understanding the links between reliability, consistency and trust What is required to deliver efficient service? Activity: efficient service requirements of the professional administrator 4 Working styles Identifying your working style preference Understanding the importance of a flexible approach Identifying areas of improvement to become a more effective team member Activity: Questionnaire (completing, scoring and charting) Activity: drawbacks of my style Developing your working style 5 Assertiveness Understand the differences between behaviours Activity: Definition and characteristics of assertive / aggressive / passive behaviour Activity: Identifying different behaviours Understanding how to be more assertive How to use assertiveness techniques How to ask for feedback Activity: Making requests assertively Activity: Refusing requests assertively 6 Time management The importance of planning for success The importance of managing interruptions The importance of having clear purpose Time management best practices Activity: How do you plan your time? What prevents you improving your time management? How will you recognise success? 7 Prioritisation How to prioritise work to meet deadlines The prioritisation matrix Activity: Post it! 8 Dealing with interruptions The impact interruptions have on productivity How to manage interruptions Activity: What interruptions do you experience? What tactics can be employed to reduce these interruptions? 9 Close Open forum Summary Action planning

Duration 2 Days 12 CPD hours This course is intended for The intended audience for this comprehensive course on Information Assurance and STIGs includes professionals with roles such as: IT professionals - System administrators, network engineers, and security analysts who are responsible for maintaining and securing IT infrastructure and web applications. Developers - Software engineers and web developers who design, implement, and maintain web applications, and need to integrate security best practices throughout the development process. Project teams - Cross-functional teams that collaborate on application development projects, including members from development, testing, and deployment teams. Technical leads - Senior software engineers or architects who oversee technical aspects of projects and ensure the implementation of secure design and coding practices. Project managers - Professionals responsible for planning, executing, and closing projects, ensuring that security requirements are met throughout the project lifecycle. Overview Working in an interactive learning environment, guided by our application security expert, you'll explore: The concepts and terminology behind defensive coding Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets The entire spectrum of threats and attacks that take place against software applications in today's world The role that static code reviews and dynamic application testing to uncover vulnerabilities in applications The vulnerabilities of programming languages as well as how to harden installations The basics of Cryptography and Encryption and where they fit in the overall security picture The requirements and best practices for program management as specified in the STIGS The processes and measures associated with the Secure Software Development (SSD) The basics of security testing and planning Understand the concepts and terminology behind defensive coding Understand Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets Learn the entire spectrum of threats and attacks that take place against software applications in today's world Discuss the role that static code reviews and dynamic application testing to uncover vulnerabilities in applications Understand the vulnerabilities of programming language as well as how to harden installations Understand the basics of Cryptography and Encryption and where they fit in the overall security picture Understand the fundamentals of XML Digital Signature and XML Encryption as well as how they are used within the web services arena Understand the requirements and best practices for program management as specified in the STIGS Understand the processes and measures associated with the Secure Software Development (SSD) Understand the basics of security testing and planning The Information Assurance (STIG) Overview is a comprehensive two-day course that delves into the realm of Information Assurance, empowering you to enhance your cybersecurity skills, understand the essentials of STIGs, and discover cutting-edge web application security practices. This immersive experience is tailored for IT professionals, developers, project teams, technical leads, project managers, testing/QA personnel, and other key stakeholders who seek to expand their knowledge and expertise in the evolving cybersecurity landscape. The course focuses on the intricacies of best practices for design, implementation, and deployment, inspired by the diverse and powerful STIGs, ultimately helping participants become more proficient in application security.The first half of the course covers the foundations of DISA's Security Technical Implementation Guides (STIGs) and learn the ethical approach to bug hunting, while exploring the language of cybersecurity and dissecting real-life case studies. Our expert instrtors will guide you through the importance of respecting privacy, working with bug bounty programs, and avoiding common mistakes in the field.The next half delves into the core principles of information security and application protection, as you learn how to identify and mitigate authentication failures, SQL injections, and cryptographic vulnerabilities. You?ll gain experience with STIG walkthroughs and discover the crucial steps for securing web applications.Throughout the course, you'll also explore the fundamentals of application security and development, including checklists, common practices, and secure development lifecycle (SDL) processes. You?ll learn from recent incidents and acquire actionable strategies to strengthen your project teams and IT organizations. You'll also have the opportunity to explore asset analysis and design review methodologies to ensure your organization is prepared to face future cybersecurity challenges. DISA's Security Technical Implementation Guides (STIGs) The motivations behind STIGs Requirements that the various software development roles must meet Implementing STIG requirements and guidelines Why Hunt Bugs? The Language of CyberSecurity The Changing Cybersecurity Landscape AppSec Dissection of SolarWinds The Human Perimeter Interpreting the 2021 Verizon Data Breach Investigation Report First Axiom in Web Application Security Analysis First Axiom in Addressing ALL Security Concerns Lab: Case Study in Failure Safe and Appropriate Bug Hunting/Hacking Working Ethically Respecting Privacy Bug/Defect Notification Bug Bounty Programs Bug Hunting Mistakes to Avoid Principles of Information Security Secuity Is a Lifecycle Issue Minimize Attack Surface Area Layers of Defense: Tenacious D Compartmentalize Consider All Application States Do NOT Trust the Untrusted Identification and Authentication Failures Applicable STIGs Quality and Protection of Authentication Data Proper hashing of passwords Handling Passwords on Server Side Session Management HttpOnly and Security Headers Lab: STIG Walk-Throughs Injection Applicable STIGs Injection Flaws SQL Injection Attacks Evolve Drill Down on Stored Procedures Other Forms of Server-Side Injection Minimizing Injection Flaws Client-side Injection: XSS Persistent, Reflective, and DOM-Based XSS Best Practices for Untrusted Data Lab: STIG Walk-Throughs Applications: What Next? Common Vulnerabilities and Exposures CWE/SANS Top 25 Most Dangerous SW Errors Strength Training: Project Teams/Developers Strength Training: IT Organizations Cryptographic Failures Applicable STIGs Identifying Protection Needs Evolving Privacy Considerations Options for Protecting Data Transport/Message Level Security Weak Cryptographic Processing Keys and Key Management Threats of Quantum Computing Steal Now, Crack Later Threat Lab: STIG Walk-Throughs Application Security and Development Checklists Checklist Overview, Conventions, and Best Practices Leveraging Common AppSec Practices and Control Actionable Application Security Additional Tools for the Toolbox Strength Training: Project Teams/Developers Strength Training: IT Organizations Lab: Recent Incidents SDL Overview Attack Phases: Offensive Actions and Defensive Controls Secure Software Development Processes Shifting Left Actionable Items Moving Forward Lab: Design Study Review Asset Analysis Asset Analysis Process Types of Application-Related Assets Adding Risk Escalators Discovery and Recon Design Review Asset Inventory and Design Assets, Dataflows, and Trust Boundaries Risk Escalators in Designs Risk Mitigation Options

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies