14016 AI courses in Cardiff delivered Online

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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.

This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.

Explore the various concepts and innovative technologies that convert the traditional banking system to digital banking system. Enrol the Digital Banking for Beginners course and learn more about the digitalization process. The course presents the latest news about world banking by illustrating the example from nine countries. You will understand the difference between traditional banking and new generation banking. The course also explains the reasons behind the transformation of traditional banking to digital banking. The necessity of embracing the digital banking system will be discussed in the course. The concepts and new innovations in banking, and the examples of web-based platforms such as the Proliferation of Internet Banking, Mobile Banking and 'Direct Banking' concept will also be thoroughly explained in the course. Additionally, the course teaches about innovative technologies such as artificial intelligence, Internet of Things (IOT), Machine Learning, Block-chain, Big Data and more. By the end of the course, you will learn the essential front-end and back-end projects that make an organization digital. What Will I Learn? It just takes 60 minutes or less of your time, to transform you in absorbing the new generation banking knowledge at a base level. As this is shared by a banking Industry veteran, it covers entire banking digital life-journey from front-end to back-end till 2018. Therefore it should generate enough confidence in you, of becoming aware of actual happenings in digital banking world. However, it is important to know that this knowledge is at a base level. But its a great start for your life, as you shall start speaking more confidently on banking innovations and digital banking than ever before . This course helps participant to seek awareness level understanding of Digital Banking in contemporary era both from fancy innovative names and also projects close to CIO's heart such as Back-end Modernization. This course gives practical view of what projects are done in front end as well as Back end to make organization digital. Requirements There is no specific banking knowledge needed to attend this course. Who is the target audience? Any Aspiring interview candidate who is looking for a new job in banking sector, Any undergraduate, graduate or post-graduate student, any employee of a bank, employee in IT companies working BFS sector, anyone working on banking transaction for his organization or simply people who are interested to learn digital banking. Any school students who would like to take projects or have interest in studying new-generation Banking can also take this course too. Story of Digital Banking -- An overview section Introduction FREE 00:02:00 Moving from Traditional Banking to New-gen Banking Moving from Traditional Banking to New-gen Banking 00:08:00 Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept 00:07:00 Use of Social media in Banking and arrival of Fintech Firms Use of Social media in Banking and arrival of Fintech Firms 00:09:00 Innovative technologies IOT, AI, ML, Block-chain,, Big data etc Innovative technologies IOT, AI, ML, Blockchain,, Big data etc 00:10:00 Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank 00:11:00 Course Certification

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

Imagine a career where creativity meets strategy, and your digital presence makes a real impact. A career where you are not just a marketer but a storyteller, engaging audiences and driving results. If this sounds like the kind of career you're passionate about, then the Digital Marketing & Social Media Manager - Job Ready Program is the perfect opportunity for you. At studyhub, we understand that breaking into the competitive world of digital marketing and social media management can be challenging, especially without prior experience. That's why we go above and beyond to equip you with the knowledge and guidance you need to excel. Our expert mentors are seasoned professionals in the field, ready to provide personalised one-on-one counselling sessions that cater to your unique needs. But that's not all - we offer much more than just mentorship. Our program is designed to empower you with the essential tools to create a standout CV and portfolio that captures the attention of potential employers. We understand what employers are looking for, and we'll work with you to showcase your skills, creativity, and potential effectively. What sets us apart is our unwavering commitment to your success. We don't stop supporting you until you secure a job in the dynamic field of digital marketing and social media management. We provide ongoing assistance, helping you navigate the job market, refine your interview skills, and connect with potential employers. We are your dedicated job and career support system, guiding you every step of the way. Our mission is simple: To be your trusted partner and assist you every step of the way until you land the marketing job of your dreams. Here are the 30 courses we will provide once you enrol in the program: Course 01: Professional Digital Marketing Diploma Course 02: Learn to Drive Traffic into Sales through Digital Marketing Course 03: SEO - Search Engine Optimisation Course 04: Advanced Training on SEO & SMM Strategies Course 05: Content Marketing Certification Course 06: Content Writing Course 07: Certificate in SEO Content Writing Course 08: Social Media Marketing Course -The Step by Step Guide Course 09: Email Marketing Course Course 10: Sales and Marketing: Email Marketing Course 11: Unlocking the Power of Google Adwords for Digital Marketing Course 12: Google Ads Training Course 13: Facebook Marketing Course 14: Instagram Marketing Course 15: Affiliate Marketing Course 16: Linkedin Marketing Course 17: Youtube Marketing Course 18: Social Media Influencer Course 19: Youtube and Instagram Video Production Course 20: Make a Wordpress WooCommerce Amazon Affiliate Store Course 21: Build an Amazon Affiliate E-Commerce Store from Scratch Course 22: Affiliate Marketing Business Essentials Course 23: E-Commerce: Complete Guide to Income Mastery Course 24: Blogging Course 25: Determining Market Size for Your Product Course 26: Simple Copywriting Secrets: How to Write Killer Sales Copy Course 27: ChatGPT for Marketing Content and Productivity with AI Tools Course 28: Lead Generation and Attraction Marketing Training Course 29: Marketing Strategies for Business Course 30: Brand Branding Why Choose Us Money Back Guarantee: We believe in the effectiveness of our program. If you follow our guidance and do not secure a job within a specified period, we offer a money-back guarantee. Personalised Job Search Assistance: We're in this together! Our dedicated team will tirelessly support your entire job searching process, ensuring you have a compelling application that gets noticed. Expertly Crafted Portfolio: Your portfolio is your digital showcase. Our professional writers will create a customised portfolio highlighting your unique skills and experiences, maximising your chances of standing out among the competition. Strategic Placement: We understand the power of strategic exposure. We'll submit your portfolio to various platforms and networks, expanding your reach and connecting you with valuable opportunities aligned with your marketing career goals. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have excelled in the digital marketing and social media management field. Comprehensive Skill Development: Our program is designed to equip you with the most sought-after skills in the digital marketing and social media management sector, ensuring you have the knowledge and expertise to excel in any marketing-driven environment. Ongoing Support: The journey to your dream job doesn't end with placement. Our commitment to your success extends well beyond your initial training, with our support team available to answer your questions, provide guidance, and assist you as you progress in your marketing career. The Program is completed in 5 easy steps: Step 1 - Enrol in the program and start learning from the courses we provide Upon enrolment in the Digital Marketing & Social Media Manager - Job Ready Program, you gain lifetime access to 6 premium courses dedicated to honing your digital marketing and social media management skills. Our customer service team remains in constant contact with you, providing assistance at every step of your learning journey. Step 2 - Complete your courses and get certifications Upon completion of each course, you'll earn certifications through exams designed to test your knowledge. Achieving a 90% pass mark for the initial course and 80% for subsequent relevant courses is required. Once successful, you'll receive hardcopy certificates, solidifying your expertise in the field. Step 3 - Get a consultation session from a professional Marketing expert Elevate your Digital Marketing & Social Media Manager skills with a personalised one-on-one consultation session led by an industry-seasoned professional. Gain insights, expert tips, and tailored advice to propel your marketing career forward. Step 4 - Complete the CV and attend the interview Armed with your certifications, our team of professionals will craft a compelling CV and LinkedIn profile tailored to your unique strengths. Armed with these powerful tools, you'll confidently tackle job interviews, launching your career with a starting salary ranging from •30,000 to •50,000 annually. Step 5 - We will not leave you until you get a job Our commitment to your success goes beyond completion. We stand by your side, offering personalised support, expert guidance, and unwavering dedication until you secure your dream job. Your job search becomes our mission, ensuring you have the best chance for a thriving career in Digital Marketing & Social Media Management. Don't let your dream career as a Digital Marketing & Social Media Manager remain out of reach. Focus on developing your skills - finding a job is our task! Join our Job Ready Program today, and let us be your trusted partner on your journey to success. Why Choose Us: Money Back Guarantee We believe in the effectiveness of our program. If you follow our guidance and do not secure a job within a specified period, we offer a money-back guarantee. Trust us to be your dedicated partner in achieving your dream job in the dynamic world of Digital Marketing & Social Media Management. Detailed Curriculum Course 01: Professional Digital Marketing Diploma Comprehensive digital marketing fundamentals covering SEO, social media, email, and content strategies. Learn to craft effective campaigns, analyze data, and create impactful online presence. Course 02: Learn to Drive Traffic into Sales through Digital Marketing Explore advanced tactics to boost website traffic and convert leads to sales. Master the art of targeting, engagement, and conversion optimization in the digital landscape. Course 03: SEO - Search Engine Optimisation In-depth SEO training covering keyword research, on-page optimization, and backlink strategies. Acquire the skills to enhance website visibility and ranking on search engines. Course 04: Advanced Training on SEO & SMM Strategies Build expertise in advanced SEO and Social Media Marketing (SMM) techniques. Dive into algorithm updates, analytics, and harness the power of social platforms for optimal digital presence. Course 05: Content Marketing Certification Master content creation and distribution strategies. Develop engaging, keyword-rich content for diverse platforms, and understand the role of storytelling in effective digital marketing. Course 06: Content Writing Hone your writing skills for digital platforms. Learn to create compelling, SEO-friendly content that resonates with your target audience and drives online engagement. Course 07: Certificate in SEO Content Writing Specialized content writing with a focus on SEO. Craft content that not only captivates readers but also enhances search engine rankings and visibility. Course 08: Social Media Marketing Course - The Step by Step Guide A step-by-step guide to effective social media marketing. Understand platform dynamics, create engaging content, and implement strategies for organic and paid social media success. Course 09: Email Marketing Course Master the art of email marketing. Learn to build and segment lists, design impactful campaigns, and optimize for conversions while adhering to best practices. Course 10: Sales and Marketing: Email Marketing Integrate email marketing into your sales strategy. Explore techniques to nurture leads, build customer relationships, and drive revenue through targeted email campaigns. Course 11: Unlocking the Power of Google Adwords for Digital Marketing Harness the potential of Google AdWords. Understand keyword targeting, ad creation, and bid management to maximize visibility and achieve marketing goals. Course 12: Google Ads Training Comprehensive Google Ads training covering ad formats, targeting options, and campaign optimization. Gain expertise in creating effective advertising campaigns on the Google platform. Course 13: Facebook Marketing Dive into Facebook marketing strategies. Learn to create compelling content, utilize paid advertising, and leverage analytics to optimize campaigns on the world's largest social platform. Course 14: Instagram Marketing Master Instagram marketing essentials. Explore content creation, engagement strategies, and advertising techniques to build a strong brand presence on this visual-centric platform. Course 15: Affiliate Marketing Unlock the potential of affiliate marketing. Understand partnership structures, optimize promotional strategies, and leverage affiliate networks to generate passive income. Course 16: Linkedin Marketing Strategic marketing on LinkedIn. Explore content creation, networking, and advertising techniques to enhance brand visibility and generate business leads on the professional platform. Course 17: Youtube Marketing Comprehensive YouTube marketing training. Learn content creation, optimization, and advertising strategies to maximize visibility and engagement on the world's largest video platform. Course 18: Social Media Influencer Transform into a social media influencer. Discover content creation, audience engagement, and collaboration strategies to build a personal brand and monetize influence. Course 19: Youtube and Instagram Video Production Master video production for YouTube and Instagram. Learn scripting, filming, editing, and optimization techniques to create engaging and shareable video content. Course 20: Make a Wordpress WooCommerce Amazon Affiliate Store Build a profitable Amazon affiliate store using WordPress and WooCommerce. Learn to set up, customize, and optimize your online store for maximum affiliate revenue. Course 21: Build an Amazon Affiliate E-Commerce Store from Scratch Step-by-step guide to creating an Amazon affiliate e-commerce store. Covering product selection, site setup, and marketing strategies to generate income through affiliate sales. Course 22: Affiliate Marketing Business Essentials Essential knowledge for successful affiliate marketing. Covering niche selection, audience targeting, and optimization strategies to build a lucrative affiliate marketing business. CPD 1000 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Course 23: E-Commerce: Complete Guide to Income Mastery Comprehensive e-commerce guide covering product sourcing, store setup, and marketing strategies. Learn to maximize income through effective e-commerce practices. Course 24: Blogging Master the art of blogging for business. Explore content creation, SEO optimization, and monetization strategies to build a successful and profitable blog. Course 25: Determining Market Size for Your Product Learn market analysis techniques to assess the size and potential of your target market. Understand the importance of data-driven decision-making in product development and marketing. Course 26: Simple Copywriting Secrets: How to Write Killer Sales Copy Unlock the secrets of persuasive copywriting. Learn to craft compelling sales copy that resonates with your audience and drives conversions across various marketing channels. Course 27: ChatGPT for Marketing Content and Productivity with AI Tools Harness the power of ChatGPT for marketing content creation and productivity. Learn to use AI tools to streamline tasks, enhance creativity, and improve overall marketing efficiency. Course 28: Lead Generation and Attraction Marketing Training Master lead generation and attraction marketing techniques. Explore strategies to attract and convert prospects into customers through effective marketing campaigns. Course 29: Marketing Strategies for Business Develop comprehensive marketing strategies for business success. Covering market segmentation, targeting, positioning, and effective promotional tactics to achieve business goals. Course 30: Brand Branding Dive into the intricacies of brand branding. Learn to develop a strong brand identity, create brand messaging, and implement strategies to build brand loyalty and recognition. The Digital Marketing & Social Media Manager - Job Ready Program is crafted for individuals with diverse backgrounds who aspire to excel in the dynamic field of marketing. This program is especially ideal for: Entry-Level Marketing Enthusiasts:Individuals who are passionate about marketing and eager to kickstart their career in the digital marketing and social media management domain. Limited or No Prior Experience in Marketing:This program caters to individuals with minimal or no prior experience in the marketing industry, providing a comprehensive foundation for success. Recent Graduates in Marketing or Related Fields:Graduates looking to translate their educational background into practical skills and secure a position in the competitive landscape of digital marketing and social media management. Career Changers into the Marketing Field:Individuals seeking a career transition into marketing, leveraging this program to gain the necessary expertise and skills for success. Motivated Individuals Eager for Comprehensive Support:This program is perfect for those with a strong drive to succeed, offering extensive mentoring and support to navigate the complexities of digital marketing and social media management.CIM Diploma in Professional Digital Marketing (Online)Level 4 Diploma in Digital Marketing (HL)COB Certified Digital Marketing ManagerProfessional Diploma in Social Media Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Requirements No experience required. Just enrol & start learning. Career path Digital Marketing Specialist Social Media Manager Content Marketing Coordinator SEO Analyst PPC Campaign Manager Email Marketing Specialist Digital Marketing Manager Brand Strategist Influencer Marketing Coordinator Online Community Manager E-commerce Marketing Specialist Data Analyst (Marketing) Marketing Automation Specialist Social Media Strategist Content Creator (Digital Marketing) Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included Student ID Card Digital certificate - Included The Quality Licence Scheme Endorsed Certificate of Achievement Hard copy certificate - Included

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

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Who is this Course for? Unity 3D Game Design Masterclass. Unity serves as top development engine for both 2D and 3D games and experiences. With its support for VR, AR, and AI, it extends its level beyond gaming to pre-visualization for films and architectural visualization. This training provides you with the fundamental skills to craft immersive virtual worlds. Click here for more info: Website Duration: 10 hours Approach: 1on1 Sessions. Create your own schedule by booking a convenient hour between 9 am and 7 pm, Mon to Sat 10-Hour Unity 3D Game Design Training Course: Module 1: Introduction to Unity 3D (2 hours) Explore the fundamentals of Unity 3D and its relevance in game design. Familiarize yourself with the Unity 3D interface, project creation, and asset management. Understand game objects, components, and their management within Unity 3D. Module 2: Game Mechanics (2 hours) Grasp basic game concepts, player movement, and camera control. Master the creation, control, and interaction of game objects. Learn about physics, collision detection, and interactive environment design. Module 3: Scripting with C# (2 hours) Dive into the C# scripting language, covering variables, data types, and functions. Control game objects using C# and understand game loops and events. Module 4: User Interfaces and Audio (2 hours) Design intuitive user interfaces and incorporate elements like buttons and sliders. Gain expertise in audio import, editing, and managing game sound effects and background music. Module 5: Optimization and Deployment (2 hours) Master game optimization techniques, including performance enhancement through scripting. Build, test, and deploy games for various platforms, including desktop, mobile, and web. Course Highlights: Introduction to Unity: Understand the gaming landscape and Unity's essential components. Game Development Basics: Learn project creation, geometry and texture importing, terrain generation, and primitive object creation. Materials and Lighting: Explore material manipulation, lighting creation, and animation adjustments. Audio Integration: Add, modify, and interact with game sounds. Programming Tools: Gain familiarity with programming using JavaScript, including variables, functions, and simple programming. Testing and Debugging: Rigorous game testing, bug fixing, and iterative development processes. Game Building: Configure game authoring settings, build games for Windows, and test the final product. Unity Pro Integration: For this training, utilize Unity Pro, a cutting-edge development platform enabling the creation of 3D, 2D, VR, and AR experiences across diverse industries, including gaming, automotive, AEC, and film. Start your Unity Pro journey at Unity's official website. With Unity Pro, accelerate development, enhance iteration speed, and expand your business, creating remarkable games and immersive experiences supported across multiple platforms. Learning Outcomes: Unity Proficiency: Master Unity 3D essentials, including game mechanics, C# scripting, UI design, and audio integration. Optimization and Deployment: Learn to optimize games for high performance and successfully deploy them across various platforms. Effective Testing: Develop strong testing and debugging skills for efficient game development. Useful Websites: Unity Learn: Access tutorials, courses, and projects for in-depth learning. Unity Asset Store: Explore a vast library of assets, scripts, and tools for game enhancement. Unity Forums: Engage with the community, ask questions, and share knowledge with fellow developers. GitHub: Collaborate on Unity projects and access shared resources for collaborative development. Gamasutra: Stay updated with industry trends, news, and valuable insights into game development. Download Unity Software Key Details for This Course: 1. Ideal for Beginners: Learn game development with Unity, perfect for beginners. Its user-friendly interface and intuitive design make it accessible for newcomers. Dive into state logic and C# programming, building a strong foundation for 3D game development. 2. Coding Flexibility: Unity offers flexibility with coding. Explore visual scripting using Bolt, enabling idea implementation through flow graphs and state graphs, suitable for both low-level and high-level logic. Advanced users can delve into tools like PlayMaker and Adventure Creator for intricate gameplay and AI behaviors. 3. Understanding Unity's Engine: Gain insights into Unity's engine workings. Explore its role as a dynamic scene player, initializing graphics, audio, and input settings at game start. Understand scene loading, asset integration, and the seamless execution of physics simulations and events, ensuring a smooth gaming experience. Course Benefits: Comprehensive Training: Master Unity 3D for creating engaging games across platforms. Interactive Learning: Engage in live online sessions for real-time feedback and collaboration. Hands-On Experience: Apply skills through practical projects, building a strong portfolio. Flexibility: Choose between live online or in-person sessions, with recorded materials for review. Ongoing Support: Enjoy lifetime email assistance for any challenges you face even after the course. Certification: Receive an industry-recognized certification, enhancing your game development career prospects.

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00