260 Evaluation courses delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This class is ideal for experienced Salesforce Administrators, business analysts, and implementation specialists looking to gain a greater technical understanding of Salesforce CPQ Administration. It's also designed for experienced administrators, solution architects, implementation consultants, and developers looking to understand the full capabilities of Salesforce CPQ in order to formulate solutions for their business. This class is also a great foundation builder for anyone looking to earn the Salesforce CPQ Specialist credential. Overview When you complete this course, you'll be able to: Set Up Products, Bundles, and Product Rules Build Price Rules to Automatically Populate Field Values While Quoting or Configuring a Bundle Set Up Appropriate System Discounts and Pricing Methods Configure Dynamic Output Document Generation Manage Subscription Products (Including the Processes for Renewing and/or Amending Them) Formulate Sound Solutions to Common CPQ Business Requirements Make Significant Progress in Preparing for the Salesforce Certified CPQ Specialist Exam Discover how to configure an end-to-end Salesforce CPQ solution with out-of-the-box functionality. In this 5-day class, our CPQ experts will give you an in-depth look at Salesforce CPQ and its applications. You?ll learn how to set up and manage products, configure discount and pricing methods, create and manage subscriptions, and formulate solutions to meet common CPQ business requirements so you can successfully implement a Salesforce CPQ solution for your company. Course Introduction Review Course Objectives Set Learner Expectations Review Housekeeping Rules Explore Additional Course Resources Review Exam Quick Facts Introduction to CPQ Understand the Business Case for CPQ Watch an End-to-End Solution Demo Build a Quote Object Model Foundations Get Familiar with Products, Price Books, and Price Book Entries Review Product Fields Integral to Basic Salesforce CPQ Functionality Product Selection Modify Out-of-the-Box Button Behavior for Product Selection Review Guided Selling Bundle Configuration Define and Build Product Bundles Enforce Business Logic with Product Features Option Selection Guidelines Enforce Business Logic with Option Constraints Product Rules Define Product Rules Enforce Business Logic with Product Rules (Including Validation Rules, Alert Rules, Selection Rules, and Dynamic Bundles) Build Product Rules Using Supporting Objects (Including Error Conditions, Product Actions, Summary Variables, Configuration Rules, and Configuration Attributes) Pricing Methods Discover Pricing Waterfall Default Flows Review List Pricing, Cost Plus Markup, and Block Pricing Use Contracted Pricing for Negotiated Prices Subscription Pricing Configure Subscription and Proration Pricing Methods Understand How Subscription Pricing Methods Affect List and Regular Price Discounting Compare Discounting Strategies Build a Discount Schedule Price Rules Set Values for Quote and Quote Line Fields Declaratively Review CPQ Advanced Quote Calculator Calculation Events and Conditions Understand Price Action Sources (Including Static Values, Summary Variables, Formulas, and Lookup Tables) Create Lookup Queries to Outsource Evaluation to a Lookup Object Advanced Approvals Compare and Contrast the Advanced Approval Package Versus Native Approvals Define Approvers, Approval Chains, Approval Variables, and Approval Rules to Meet Specific Business Requirements Quote Templates Generate Dynamic Output Documents Create Conditional Template Content Localization and Multicurrency Make Accommodations for Localization Define Localization and How It Works in CPQ Orders Review Business Purposes of an Order Define the Data Model for Orders Define Data Requirements to Generate Orders Contracts, Renewals, and Amendments Generate New Contracts to Manage Active Subscriptions Related to an Account Review Amendment and Renewal Processes Review Renewal Pricing Methods Capstone Class Project: Troubleshoot Common Scenarios in Salesforce CPQ Design a Solution

At some point in your life you will have attended a training course or workshop, but what happens when you are asked to deliver one? Some people relish the opportunity while others are challenged by it. Whatever you feel about training others, it is a skill that is admired and can be studied and learned. With the trainer you will be learning the techniques, skills and understanding you need and you will have the chance to deliver a short training session to others, receive feedback and having the confidence to deliver it for real in your job. The training will comprise one day followed by a half day when all those able to attend will deliver and have feedback on a 20 minute training activity. To be able to create and maintain an environment conducive to learning and engagement To understand basic learning theory and practice and the difference between training, facilitating and learning To understand how adults learn and how to apply it as a trainer To be able to plan and deliver a training activity using the appropriate set of skills and behaviours To be able to review and evaluate learning and identify how outcomes are met To manage the learning process and the participant engagement in the training environment To be able to present effectively and appropriately to a variety of audiences To deliver and receive feedback on a short delivered training activity with peers To review and evaluate learning and have an action plan to take back and put into practice DAY ONE (full-day) 1 Welcome, housekeeping, how the day will be run Introductions (and making the most of them) Warm up - breaking the ice followed by review and feedback Creating an environment conducive to learning and engagement; managing expectations well as a trainer Group task with feedback and review in plenary 2 What is training and how do adults learn? Trainer input: David Kolb's Learning Cycle Group tasks 3 How to plan a session and what to include - trainer input Starting at the end and working backwards Linking outcomes to purposeful activities Practice task and planning time for day two using a template 4 The skills and behaviours of a brilliant trainer Modelling skills and behaviours Creative task and discussion 5 Mini reviewing task De-brief - using reviewing in training 6 How to manage the process Trainer input followed by practice Paying conscious attention to language (verbal and non verbal), feelings and responses in the room and managing yourself as a trainer 7 The trainer's toolkit #1 Key tools, materials and templates Choosing different tools and approaches with different audiences Know your audience 8 The trainer's toolkit #2 Key tools, materials and templates continued Addressing trainer good practice 9 Review, evaluation and action planning activities Why and what should we be evaluating and why it's important Action planning task Group review task DAY TWO (half-day) The day will comprise a series of 30 minute timed sessions where each delegate will present and deliver a training activity with the group. The training activity will be prepared and planned in advance and will take 20 minutes (+ or - 2 minutes) to deliver in real time. This will be followed by review and feedback from the trainer and peers to complete the total of 30 minutes as a time slot. Reiteration of the task and discussion can take place with the trainer if needed, and there is time included in Day One to support the training planning.

This workshop has been designed to help managers understand their responsibilities and what they need to do to ensure compliance with current workplace legislation - including the fire safety and CDM regulations. The day will cover the legal background - including an appreciation of how safety legislation has evolved and why; the logic behind recent developments and the implications for staff and employers; key areas of current legislation; roles and responsibilities in health and safety management, including monitoring contractors and suppliers effectively; implementing sound health and safety policies and procedures; getting staff on board, and implementing effective systems. Also, recognising potential risks and hazards and developing strategies to minimise their impact in the workplace. This course will give participants an understanding of: The broader context of the key areas of health and safety regulation which apply to your organisation Existing health and safety practice and guide them in how to shape and implement an effective health and safety policy What they should do and the procedures to support it Potential areas of risk in the workplace - and how to take action to minimise the threat to staff safety How sound health and safety processes can contribute to business performance 1 Understanding the workplace legislation Overview of health and safety and workplace legislation Compliance, the role of the facilities manager, and who is accountable? Breakout session to discuss where we are now and to highlight issues of concern Applying required policies and procedures Developing and implementation/review of the safety policy Communicating with users, clients and contractors Health and safety manual 'Selling' health and safety 2 Key legislation - a practical working guide Asbestos Regulations Construction (Design and Management) Regulations 2007 / 2015 Control of Substances Hazardous to Health (COSHH) Regulations Disability Discrimination Act (DDA) Display Screen Equipment (DSE) Regulations 1992 Electricity at Work Regulations 1989 Fire Precautions (Workplace ) Regulations 2006 Health and Safety (Consultation with Employees) Regulations 1996 Health and Safety (First Aid) Regulations 1981 Health and Safety at Work etc. Act 1974 Management of Health and Safety at Work Regulations 1992 Manual Handling Operations Regulations 1992 Portable Appliance Testing (PAT) Provision and Use of Work Equipment Regulations 1992 REACH - Registration, Evaluation, Authorisation and restriction of Chemicals Reporting of Injuries, Diseases, and Dangerous Occurrences Regulations (RIDDOR) 1995 Waste Electrical and Electronic Equipment (WEEE) Regulations 2006 Work Equipment Regulations 3 Controlling contractors Understanding the Regulations Selecting and assessing contractors Understanding and setting accountability Why a method statement? How to apply a permit to work system Safe systems of work Round-table discussion to bring out issues from participants' own experience 4 Risk assessment Understanding your hazards Identifying specialist areas How to undertake these assessments Implementation of sound systems and processes Syndicate exercise identifying where assessments are needed and carrying out assessments 5 Keeping the work environment safe Sick building syndrome and legionella Asbestos Waste management Pest control Provisions for first aid Accident reporting and investigation At-work driver safety Security 6 Fire safety Understanding the Regulatory Reform Fire Safety Order Fire certificates The fire risk assessment Testing fire-fighting equipment? Emergency procedures Workshop to examine the procedures for dealing with different types of emergencies 7 Ergonomics programme Ergonomics - important or irrelevant? Are you complying with HSE regulations? Furniture and equipment Display screen equipment assessments Homeworking - your concern or not? Syndicate exercise to review what to do when relocating or refurbishing an office 8 Inspecting and auditing Role of Health and Safety Executive Inspectors - 'be prepared' FM role Staff/trade union involvement Independent audits Records and reports Communicating the results 9 Action plan Participants to list actions they need to take after the course

About this Training Course This 3 full-day course provides a sound review of Pipeline Integrity Management strategies, in compliance with regulatory requirements, including self-assessment. The course is highly interactive and takes the form of lectures and case studies. On completion of the course, the participants will have a solid understanding of the procedures, strengths, limitations, and applicability of the main issues that comprise a Pipeline Integrity Management Program. The course incorporates API 1160 / 1173 and ASME B31.8S, and explains in detail the pipeline integrity requirements described in these standards. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Objectives of this course: Explore the latest techniques used to develop a comprehensive integrity management program covering both pipelines and their associated facilities Determine the necessary elements of such a program described in detail with examples of typical program content including an overarching view of where detailed risk analysis and defect assessment fits in the program Understand the scopes and contents of pipeline integrity standards i.e. API 1160 / 1173 and ASME B31.8S On completion of this course, the participants will be able to understand: Codes used in developing Integrity Management Plans, API 1160 / 1173 and ASME B31.8S, others The elements of an Integrity Management Plan Threat assessment Critical aspects of risk assessment Prevention and mitigation measures Characteristics and limitations of different inspection methods A risk-based approach to maintenance Target Audience The course is intended for supervisors, engineers and technicians responsible for ensuring the adequate protection of pipeline assets. In addition, maintenance planners, regulators and service providers to the pipeline industry will also benefit from attending this course. Course Level Basic or Foundation Trainer Your expert course leader is a Ph.D. Metallurgical Engineer with advanced expertise in asset integrity management of oil & gas production facilities, corrosion control, materials selection, chemical treatments, pipeline pigging, inspections, fitness-for-service evaluations, failure analysis and related consulting. He has 40 years of experience working for BP in Asia and South America, Amoco in the US, Intertek, and four years with Applus-Velosi in Southeast Asia. Practical Work Experience: AIM consultant with focus on Southeast Asia operations and clients Direct technical interface with clients on Velosi services Technical consultant for ongoing regional contracts and lead roles as auditor, instructor or facilitator Main clients have included the following organisations: BP and Vico Indonesia, Pertamina Offshore Northwest Java and West Madura Offshore (Indonesia), NCSP (Vietnam), ADCO-OPCO (Abu Dhabi), Thang Long (Vietnam), Exxon-Mobil (Malaysia) and Mubadala Petroleum (Indonesia). POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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.

Enhance your knowledge in coal power plant life cycle management and flexible operations with EnergyEdge. Learn about decommissioning, preservation, repurposing, and recommissioning.

About this Training Course  Exploration and production technology, equipment specification and processes have a unique language that must be conquered by executives such as you. A confident understanding of the technical jargon and a visual appreciation of the various pieces of equipment used provides for an overall 'big picture' of industry value chain. This serves as an excellent foundation for smooth communication and increased efficiency in inter-department project team efforts. Gain a comprehensive overview of the entire value chain and process of oil & gas upstream operations and business in this 3 full-day training course. Training Objectives By attending this industry fundamentals training course, participants will be better able to: Appreciate the dynamics of world energy demand & supply and its impact on pricing Understand the formation of petroleum reservoirs and basic geological considerations Examine the exploration process to gain an overview of the technical processes involved Gain a comprehensive overview of drilling activities - from pre-drilling preparation, through to well drilling, well evaluations and post drilling activities Get familiarised with the common production methods and the different stages of its processes Integrate your understanding of asset maintenance and downstream supply chain activities Better visualise through video presentations the various exploration equipment/ technologies and understand the major cost components Target Audience This course will be useful and applicable, but not limited to: Accounting Administration Business Development Commercial Construction E & P IT / Data Finance Finance & Treasury Health & Safety Human Resource Joint Venture Co-ordinators Legal Logistics Materials Planning Procurement Sales & Marketing Senior Management Sourcing Strategic Planning Supply Chain Tender Contract Course Level Basic or Foundation Training Methods Multi-media presentation methodology to enable better understanding and appreciation technical jargon and equipment applied in the field A pre-course questionnaire to help us focus on your key learning objectives Detailed reference manual for continuous learning and sharing Limited class size to ensure one to one interactivity Trainer Your expert course leader worked for BP for 28 years as a Research Associate and Team Leader, working on Feasibility Studies and acting as a trouble shooter covering all aspects of BPs businesses. These covered field Development Project in the North Sea and several novel resource recovery techniques which were taken from Concept to Field Pilot trials in Canada. His specific work in the offshore area covered Subsea Robotics / Automation, Seabed Production Concepts, Seabed Excavation Methods, Underwater Repair Techniques, Flexible Riser Studies and Maintenance Cost Reductions. After leaving BP in 1992, he continued working in the offshore oil industry through Azur Offshore Ltd, including activities in the assessment of Emerging and Novel Technologies, Technical and Economic Audits, Studies, Production Sharing Agreement Evaluations, Safety and Environmental issues. Clients have included Chevron UK, BP Exploration, British Gas, Technomare, Trident Consultants, Fina UK and Cameron France. He is a regular University lecturer at Crandfield School of Industrial Sciences (UK) and is a course Group Project external examiner for Crandfield. He also lectures on offshore oil industry activities at ENSIETA (France), the Technical University of Delft (Holland) and the Northern Territories University in Darwin (Australia). He is an active member of the UK Society for Underwater Technology (SUT) and serves on their Subsea Engineering and Operations Committee. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

This half-day Suicide First Aid Lite training course gives learners the knowledge and tools to understand that suicide is one of the most preventable deaths and some basic skills can help someone with thoughts of suicide stay safe from their thoughts and stay alive.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples