17708 AI courses

Bayfield Training and the University of Cambridge Department of Land Economy This prestigious eight-week online Real Estate course is suitable for modellers new to Real Estate and experienced Real Estate Analysts looking to formalise their skill set. This course will equip you with skills to start building your own financial models and the certificate will give your employers and colleagues reassurance of your expertise. If you want to enhance your financial modelling skills over an extended period, the Real Estate Financial Modelling Certificate is the course for you. This online real estate course has been put together exclusively for the Real Estate Financial Modelling certificate, using state of the art digital resources such as animations, video-steps, digital whiteboard and video-interactions as well as the spreadsheets, text based resources and tutor contact you would expect from any of Bayfield Training’s classroom based courses.  Assessment is in the form of a guided model build exercise and written model appraisal. Participants benefit from an additional months access to the course platform after submission of the assessment. On this course you will: Become a competent model builder, building Real Estate Financial Models from scratch Learn tricks and concepts from financial modelling experts with decades of experience in practice and academia Learn how to use Real Estate Financial Models to make informed investment decisions Learn at a consistent pace over 8 weeks allowing you to take the time to fully grasp this important skill This course is suitable for: Chartered Surveyors Asset Managers Financial Controllers Financial Analysts Investment Managers Property Managers Real Estate Students/Recent Graduates Course Outline: Module 1 - Economic Context Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. Why Real Estate Asset Modelling is important Understanding the occupier, asset and development markets and the relevant modelling approaches for each Real Estate Sub-Sector Key Performance Indicators Introduction to conventional valuations and financial mathematics Understanding and minimising errors in Financial Models Module 2 - Cash Flow Fundamentals Constructing a financial model from first principles. Understanding all the components of a basic cash flow model Understand why Corporate Finance Models and Real Estate Models are different Financial Model Design Making the link between valuations, income mathematics and discounted cash flows Internal Rate of Return, Net Present Value,Worth and other metrics Features and techniques to aid fast model building Module 3 - Developing the Cash Flow Adapting financial models for different periodicities and building rent functions for different rent behaviour. Understanding how leases vary with respect to rent over time: Rent Reviews, Break Clauses, Rent Free Periods, Lease Expiries etc. Developing the concept of a Rent Function in Excel Logic mathematics and Logic functions Projecting rent to adapt to different lease contracts and growth patterns Alternative solutions to Logic functions Comparative analysis of lease structures in different jurisdictions and adapting financial models Module 4 - Real Estate Data Understanding the different sources of data, constructing basic time series models and recognising basic patterns. Key Property market indicators Characteristics and application of key input metrics for Real Estate Appraisals Understanding the eight components of Real Estate Price Dynamics Awareness of the different sources of data Reading and using general property market reports Constructing basic time series models and recognising basic patterns Module 5 - Development Appraisals Constructing a development appraisal from first principles and understanding development return metrics. Understanding the key components of a development project Understanding the difference between development and investment appraisals Residual Appraisals and Profit Calculations Cost orientated cash flows and phased sales Cumulative construction cost patterns: incidental, fixed, loaded and S-curve Development return metrics and Modified IRRs Module 6 - Multi-let Cash Flows Constructing an advanced multi-let cash flow model and learn different techniques to build flexible rent functions. Multi-let and portfolio model design principles Building complex date functions and date series The three multi-let rent projection techniques Perpendicular Rent Functions Incorporate advanced rent adjustments into the Rent Function Incorporate sector and period varying rental growth rates Simplifying OPEX and CAPEX projections Discounting techniques on complex and volatile cash flows Module 7 - Project Finance Constructing a flexible Real Estate Debt Finance model. Revision of the Mathematics of amortisation and debt finance Basic senior debt models and geared net cash flow LTV, IRR and Interest Rate Dynamics Flexible term, repayment options and deferred interest Loan covenant tests Understanding different tranches of debt Understanding how complex debt structures impact the returns to different parties Module 8 - Model Interpretation and Risk Analysis Learn how to read, analyse and report on real estate financial models. Understand how to read models and develop an investment narrative Visualise model outputs using graph functions, conditional formatting, dynamic symbols and dashboards Learn how to use built-in Sensitivity, Scenario Analysis tools and third-party add-ins Learn how to construct varied project scenarios in a systematic way Introduction to Monte Carlo Analysis and VBA Optimising sale dates and other parameters Create well written, attractive and persuasive reports Included in the Course Bayfield Training and University of Cambridge Accredited Certificate & LinkedIn Proficiency Badge 64 CPD Hours 1 Month Post-Course Access to the Digital Platform - 12 Months Post-Course Access to the Platform can be purchased for an additional fee Course Files Q&A Webinars and Guest Speaker Webinars Further Learning Resources (Reading, Files and Videos) Post Course Support - Two Months of Questions & Answers 2024 Cohort Dates Include: 3rd June to 29th July 5th August to 25th September 2024 30th September to 25th November For more information, please contact Sam on the Bayfield Training Sales team: E - s.musgrave@bayfieldtraining.com T - 01223 517851 W - www.bayfieldtraining.com

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All in One Bundle Special Discount Offer Are you looking to enhance your AI (Artificial Intelligence) Developer Training skills? If yes, then you have come to the right place. Our comprehensive courses on AI (Artificial Intelligence) Developer Training will assist you in producing the best possible outcome by learning the AI (Artificial Intelligence) Developer Training skills. Get 6 CPD Accredited Courses for only £41 with 6 Free PDF Certificates worth £24! Course 01: Industry 4.0 - Automation & Applications Course 02: Intermediate Python Coding Course 03: C# Programming - Beginner to Advanced Course 04: HTML and CSS Coding for Beginners and Kids Course 05: JavaScript Functions Course 06: Graph Theory Algorithms The AI (Artificial Intelligence) Developer Training bundle is for those who want to be successful. In the AI (Artificial Intelligence) Developer Training bundle, you will learn the essential knowledge needed to become well versed in AI (Artificial Intelligence) Developer Training. Our AI (Artificial Intelligence) Developer Training bundle starts with the basics of AI (Artificial Intelligence) Developer Training and gradually progresses towards advanced topics. Therefore, each lesson of this AI (Artificial Intelligence) Developer Training is intuitive and easy to understand. Why would you choose the AI (Artificial Intelligence) Developer Training course from Compliance Central: Lifetime access to AI (Artificial Intelligence) Developer Training courses materials Full tutor support is available from Monday to Friday with the AI (Artificial Intelligence) Developer Training course Learn AI (Artificial Intelligence) Developer Training skills at your own pace from the comfort of your home Gain a complete understanding of AI (Artificial Intelligence) Developer Training course Accessible, informative AI (Artificial Intelligence) Developer Training learning modules designed by expert instructors Get 24/7 help or advice from our email and live chat teams with the AI (Artificial Intelligence) Developer Training bundle Study AI (Artificial Intelligence) Developer Training in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your AI (Artificial Intelligence) Developer Training Course Improve your chance of gaining in demand skills and better earning potential by completing the AI (Artificial Intelligence) Developer Training Curriculum Breakdown of the AI (Artificial Intelligence) Developer Training Curriculum Breakdown of Industry 4.0 - Automation & Applications Module 1: Industry 4.0- The Fourth Industrial Module 2: Classification of Automation Module 3: Types of Control Systems Module 4: Ethical Dilemma of Automation Module 5: Robotics & AI - A debatable topic Module 6: Definition of a Robot Module 7: Laws of Robotics Module 8: Components of a Robot Module 9: Robot Classification Module 10: Degree of Freedom Module 11: Robot Configuration Module 12: White Collar Robots Module 13: Numerical Control of Machines Tools Module 14: CNC- Computer Numerical Control Syst. Module 15: Components of CNC System Module 16: Point to Point CNC Module 17: Incremental & Absolute CNC Machines Module 18: Open & Close Control Loop Machines Module 19: 2 & 3 Axes CNC Machines Module 20: Importance of Higher Axes Machining Module 21: Cartesian Coordinate System Module 22: Programming Format Module 23: A Simple Coding Exercise Module 24: Applications of CNCs Module 25: General Explanation of 3D Printing Module 26: 3D Printing Procedure Module 27: SLA Module 28: DLP Module 29: Laser Sintering Module 30: FDM Module 31: Inkjet- Binder Jetting Module 32: Inkjet- Material Jetting Module 33: SDL Module 34: EBM Module 35: 3D Printing Material Module 36: 3D Printing Applications CPD 65 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The AI (Artificial Intelligence) Developer Training bundle helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in AI (Artificial Intelligence) Developer Training. It is also great for professionals who are already working in AI (Artificial Intelligence) Developer Training and want to get promoted at work. Requirements To enrol in this AI (Artificial Intelligence) Developer Training course, all you need is a basic understanding of the English Language and an internet connection. Career path The AI (Artificial Intelligence) Developer Training bundle will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to AI (Artificial Intelligence) Developer Training. Certificates CPD Accredited Certificate of completion Free Digital certificate - Included 6 CPD Accredited PDF Certificate for Free CPD accredited hard copy certificates are available for Hard copy certificate - £9.99 Delivery Charge for Each Hard Copy Certificates: Inside the UK: £3.99 each Outside of the UK: £9.99 each

Ai (Artificial Intelligence) for Business Leaders Recognize the challenges and limitations of Generative AI, and gain insight into the future outlook of AI in business strategy. Equip yourself with the essential skills and knowledge needed to lead in an AI-driven business landscape. Learning Outcomes: Explain the fundamentals of Artificial Intelligence for business. Analyze the strategic impact of AI on business models. Evaluate the business implications of Generative AI. Assess the challenges and limitations of Generative AI. Predict the future role of AI in business strategy. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Ai (Artificial Intelligence) for Business Leaders Course Syllabus Ai (Artificial Intelligence) for Business: Gain a comprehensive understanding of AI and its significance in the business landscape, equipping you with the foundational knowledge to lead AI-driven initiatives. Strategic Impact of Ai (Artificial Intelligence) on Business: Explore how AI strategically impacts different business models, enabling you to identify opportunities for innovation and growth. Implications of Generative Ai (Artificial Intelligence): Delve into the applications and implications of Generative AI within business contexts, fostering the ability to harness its creative potential. Challenges of Ai (Artificial Intelligence): Understand the challenges and limitations associated with Generative AI, allowing you to make informed decisions and mitigate potential risks. Ai (Artificial Intelligence) in Business Strategy: Anticipate the future landscape of AI in business strategy, enabling you to proactively adapt and lead in an AI-driven environment. Leaders in Ai (Artificial Intelligence)-Driven Business: Develop the essential skills and knowledge required to lead AI-driven initiatives effectively, ensuring your leadership in the AI era is both informed and visionary.

Thinking about learning more about how Artificial Intelligence can help in a business? The BCS Foundation Award - How AI Can Support Your Organisation explores the evolution of AI from its inception to present day, and identify potential future AI opportunities which exist to drive organisational strategy at all levels. It considers how AI can make improvements to processes, products and services, enabling an organisation to gain a competitive edge within the market, and the benefits and potential implications it has for the human workforce. You will learn the evolution of AI, an understanding of the shape and structure of organisations, an understanding of the role of AI in an organisation and an understanding of the art of the possible.

This ChatGPT for Marketing and Productivity with AI Tools course is your guide to using AI to boost your marketing results. Boost your marketing skills and productivity to the next level with our comprehensive ChatGPT for Marketing and Productivity with AI Tools course. Dive deep into the world of Artificial Intelligence (AI), its applications, and how it can revolutionise the way you work. This course is meticulously designed to empower marketing professionals, content creators, entrepreneurs, and anyone intrigued by the power of AI.  It's a blend of theoretical understanding, practical exposure, and foresight into the future of AI, particularly in the field of marketing and productivity. In Section 01, we unpack the 'AI Marketing Playbook'. Starting with an introduction to OpenAI's ChatGPT, its possibilities, and its limitations, you'll gain a fundamental understanding of AI capabilities. Following this, delve into practical aspects of using ChatGPT, from generating innovative ideas and content to cross-posting queries and simplifying complex information. Our experts will also guide you on how to leverage AI for business problem-solving and developing methodologies, wrapping up with insights on the future of ChatGPT. In Section 02 get teaching on how to use ChatGPT and other AI tools for effective marketing. Learn to work with Autonomous AI Agents and a variety of AI tools such as Durable, Eightify, Genei, and Ellicit, to name a few. By the end of this section, you'll be equipped with the skills to carry out high-quality research, build AI-based websites, determine research credibility, and clone voices. You'll also get an interesting perspective on the future of AI. Finally, Section 03 is all about enhancing your productivity with ChatGPT and AI tools. From meta-search sites to speech-to-text services, AI design tools, content improvement techniques, and more, this section aims to streamline your work processes. Learn to use tools like Microsoft Bing Search, Google Bard, Speechify, and Adobe for audio enhancements. Wrap up this course with an exploration of generative AI and a glance into the future of this exciting field. Whether you're a beginner or an experienced professional, this course promises to expand your horizons and make you proficient in harnessing AI's power for marketing and productivity. Unleash the potential of AI and transform your work efficiency with this ChatGPT for Marketing and Productivity with AI Tools course. Enrol today and start your AI journey with us! Learning Outcomes Upon completion of the ChatGPT for Marketing course, you will be able to: Understand the fundamentals of OpenAI's ChatGPT and its capabilities. Generate and qualify ideas effectively using ChatGPT. Learn to apply ChatGPT for solving specific business problems. Develop skills to connect with various Autonomous AI Agents. Learn to use AI tools for enhanced research and content creation. Understand how to determine research credibility using AI. Gain proficiency in utilising AI for website creation and voice cloning. Develop skills to leverage AI tools for improved productivity. Understand the future scope of generative AI in marketing. Master the use of various AI design and content improvement tools. Who is this course for? This ChatGPT for Marketing course is ideal for: Marketing professionals seeking to leverage AI in their strategies. Content creators interested in AI-powered idea generation and curation. Business owners looking to integrate AI into their operational processes. Individuals interested in exploring AI applications in marketing and productivity. Any tech enthusiast keen on understanding and applying AI tools. Career Path Our ChatGPT for Marketing course will help you to pursue a range of career paths, such as: AI Marketing Specialist: £45,000 - £70,000 Content Strategist: £35,000 - £55,000 Business Intelligence Analyst: £40,000 - £65,000 Productivity Consultant: £45,000 - £75,000 AI Research Analyst: £50,000 - £80,000 AI Application Developer: £55,000 - £90,000 Digital Transformation Consultant: £60,000 - £100,000 AI Solutions Architect: £65,000 - £110,000 Prerequisites This Photoshop Training for Beginners does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Photoshop Training for Beginners 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 of the Photoshop Training for Beginners there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Course Curriculum Section 01: The AI Marketing Playbook Unit 01: Start an Account with ChatGPT 00:02:00 Unit 02: What the Company OpenAI Say About Itself 00:02:00 Unit 03: What OpenAI Say About The Limitations of the Chatbot 00:02:00 Unit 04: Chatbot Prompt Examples Given By Open AI 00:02:00 Unit 05: Will Chat GPT Be a Paid Application 00:01:00 Unit 06: Chat GPT Idea Generation 00:02:00 Unit 07: Chat GPT - Idea Qualification and Accuracy 00:03:00 Unit 08: ChatGPT - Accuracy and Citations 00:02:00 Unit 09: Chat GPT - Creating HTML Instances 00:01:00 Unit 10: Chat GPT - How to Solve Specific Business Problems 00:02:00 Unit 11: Chat GPT - Statistical Verification of Information 00:01:00 Unit 12: Chat GPT - Rewrite Content for Different Contexts 00:02:00 Unit 13: ChatGPT - Content Checked With AI 00:02:00 Unit 14: ChatGPT - Simplifying Information 00:01:00 Unit 15: ChatGPT - How to Ask the Chatbot about Context 00:01:00 Unit 16: ChatGPT - How to Cross-Post Queries 00:01:00 Unit 17: ChatGPT - How to Narrow Down the Context of Your Query 00:02:00 Unit 18: ChatGPT - How to Solve a Business Process 00:02:00 Unit 19: ChatGPT - Developing a Methodology From Experts 00:01:00 Unit 20: The Future of ChatGPT 00:01:00 Section 02: How to Use ChatGPT and AI for Marketing Unit 01: Autonous AI Agents 00:01:00 Unit 02: Connecting to Open AI 00:01:00 Unit 03: Getting an OpenAI Key 00:01:00 Unit 04: Agent GPT - Autonomous AI 00:02:00 Unit 05: GoalGPT - Autonomous Agents 00:01:00 Unit 06: Cognosis - Autonomous AI 00:02:00 Unit 07: Aomni - Autonomous Agent 00:01:00 Unit 08: Durable - Build a Website with AI 00:01:00 Unit 09: Eightify Summaries 00:02:00 Unit 10: Genei - Do Higher Quality Research with AI 00:01:00 Unit 11: Ellicit - Do Higher Quality Research with AI 00:01:00 Unit 12: Inciteful - Do Higher Quality Research with AI 00:02:00 Unit 13: SciteAI Determine the Credibility of Your Research 00:01:00 Unit 14: Eleven Labs - Voice Cloning 00:02:00 Unit 15: AgentGPT - Wrap Up and Return 00:01:00 Unit 16: Cognosys - Wrap Up and Return 00:01:00 Unit 17: Aomni - Wrap Up and Return 00:01:00 Unit 18: Goal GPT - Wrap Up and Return 00:01:00 Unit 19: Uploading Research Reports to Summarization Applications 00:01:00 Unit 20: Perspective on The Future of AI 00:01:00 Section 03: Productivity with AI Tools Unit 01: Meta Search Sites 00:02:00 Unit 02: SMMRY for Summarzing 00:01:00 Unit 03: ChatGPT Plugins Waitlist 00:01:00 Unit 04: Using Microsoft Bing Search 00:02:00 Unit 05: Using Google Bard 00:01:00 Unit 06: Microsoft Word Speech To Text 00:01:00 Unit 07: Transcribe Audio in Microsoft Word 00:02:00 Unit 08: Speechify 00:02:00 Unit 09: Exact Image Creation 00:01:00 Unit 10: AI Design Tools 00:02:00 Unit 11: Learn How to Prompt 00:01:00 Unit 12: Content Improvement 00:01:00 Unit 13: Idea Generation 00:01:00 Unit 14: Audio Enhancement with Adobe 00:02:00 Unit 15: Clean up Audio With Cleaanvoice 00:01:00 Unit 16: Notion-AI 00:01:00 Unit 17: Pictory 00:01:00 Unit 18: Lex 00:01:00 Unit 19: ChatPDF 00:01:00 Unit 20: Conclusion and the Future of Generatie AI - Searchie 00:01:00

The qualification is aimed at learners already working or preparing to work in industry that is identified within the company's risk assessment of First Aid. The qualification has a recommended course duration of 2 days; however the course duration may be increased to meet additional learning needs if required but not reduced.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for software testers, architects, engineers, or other related roles, who wish to apply AI to software testing practices within their enterprise. While there are no specific pre-requisites for this course, it would be helpful is the attendee has familiarity with basic scripting (Python preferred) and be comfortable with working from the command line (for courses that add the optional hands-on labs). Attendees without basic scripting skills can follow along with the hands-on labs or demos. Overview This course introduces AI and related technologies from a practical applied software testing perspective. Through engaging lecture and demonstrations presented by our expert facilitator, students will explore: Exploring AI Introduction to Machine Learning Introduction to Deep Learning Introduction to Data Science Artificial Intelligence (AI) in Software Testing Implementing AI in Test Automation Innovative AI Test Automation Tools for the Future Implementing AI in Software Testing / AI in Test Automation is an introductory-level course for attendees new to AI, Machine Learning or Deep Learning who wish to automate software testing tasks leveraging AI. The course explores the essentials of AI, ML and DL and how the integrate into IT business operations and initiatives. Then the course moves to specifics about the skills, techniques and tools used to apply AI to common software testing requirements. Exploring AI AI-Initiatives The Priority: Excellence AI- Intelligence Types The Machine Learning Types The Quality Learning Initiative The Inception in Academics AI - Importance & Applications The Re-visit Learning Re-visited via AI Teaching in the world of AI Exploring AI for Self-Development AI In Academics Beyond Academics Introduction to Machine Learning What is Machine Learning? Why Machine Learning? Examples - Algorithms behind Machine Learning Introduction to Deep Learning What is Deep Learning? Why Deep Learning? Example - Deep Learning Vs Machine Learning Introduction to Data Science What is Data Science? Why Data Science? Examples - Use Cases of Data Science Artificial Intelligence (AI) in Software Testing What is AI in Software Testing? The Role of AI Testing Why do we Need AI in Software Testing? Pros and Cons of AI in Software Testing Applications of AI in Software Testing Is it time for Testers or QA Teams to worry about AI? Automated Testing with Artificial Intelligence Implementing AI in Test Automation Training the AI Bots Challenges with AI-powered Applications Examples - Real World use cases using Artificial Intelligence Demo - Facial Emotion Detection Using Artificial Intelligence Demo - Text Analysis API Using Artificial Intelligence Demo - EYE SPY Mobile App Using Artificial Intelligence Innovative AI Test Automation Tools for the Future Tools used for Implementing AI in Automation Testing What is NEXT? AI Test Automation Demo using Testim

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