109 ChatGPT courses

This compact crash course teaches learners to optimize their Microsoft Power BI use, gain insights into circular dependency errors and the new DAX functions, and use Power BI template files to enhance data modeling/analysis. The course provides guidance and real-world examples to streamline Power BI projects and achieve data visualization goals effectively.

Discover the potential of ChatGPT and OpenAI API for language tasks such as summarization, translation, chat completion, and more. Explore the nuances of the OpenAI API, unravel its architecture, and master text generation capabilities. Whether you are a beginner or an expert, this course empowers you to apply these tools in the real world.

This comprehensive course delves into the realm of cutting-edge technology, guiding you from Rust basics to mastery. Discover the potential of GPT-4 as you build 'Auto-Gippity', an AI code wizard. Harness Rust's speed and safety, and revolutionize coding with blazing-fast, memory-safe automation for next-gen software engineering!

This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.

Dive into the world of project management with our comprehensive course! Master the fundamentals, explore advanced tools such as Jira, Microsoft Teams, and Trello, and gain real-world insights. From Agile methodologies to effective communication strategies, this course equips you with the skills to excel as a confident and successful project manager.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before "Translation is not a matter of words only: it is a matter of making intelligible a whole culture." - Anthony Burgess. The UK translation industry is booming, with a market size expected to reach over £4 billion by 2025! Do you dream of the flexibility and freedom of being your own boss? If so, then a career as a freelance translator could be the perfect fit for you. This Freelance Translation Success Secrets course equips you with the knowledge and tools to navigate the exciting world of freelance translation. This comprehensive Freelance Translation Success Secrets course covers everything you need to know to launch and thrive in your freelance career. You'll gain a solid understanding of the translation industry, the essentials of successful freelancing, and the specific role of a freelance translator. The course delves into practical aspects like finding clients, managing your workload, and effectively marketing your services. It also equips you with the latest technology used by professional translators, CAT tools, and ensures you understand the importance of ethical conduct and delivering top-quality work. Learning outcomes of Freelance Translation Success Secrets Grasp the fundamentals of translation and the role of freelance translators. Familiarise yourself with the intricacies of freelancing in the translation industry. Learn effective strategies for finding and retaining clients. Master the art of managing your workload and ensuring quality. Understand the importance of marketing in building a successful freelance career. Utilise CAT tools for efficient and accurate translation. Adhere to professional ethics while navigating the world of freelance translation. Whether you're a seasoned linguist seeking to branch out or a language enthusiast looking to monetize your skills, this course empowers you to take control of your career and achieve financial freedom. Enrol today and unlock the exciting possibilities that await you in the world of freelance translation! Why Choose Our Freelance Translation Success Secrets Course? Get a free student ID card with Freelance Translation Success Secrets Training Lifetime access to the Freelance Translation Success Secrets course materials The Freelance Translation Success Secrets comes with 24/7 tutor support Learn Freelance Translation Success Secrets from anywhere in the world The Freelance Translation Success Secrets is affordable and simple to understand The Freelance Translation Success Secrets is an entirely online, interactive lesson with voiceover audio Start your learning journey straightaway! *** Course Curriculum *** Main Course: Translation: Freelance Translator Module 01: An Overview Of Translation Module 02: Introduction To Freelancing Module 03: Introduction To Freelance Translator Module 04: Activities Before Getting Started Module 05: Finding Clients Module 06: Managing The Work Module 07: Marketing Module 08: CAT Tools In Translation Module 09: Getting Paid For The Work Module 10: Setting Up Home Office Module 11: Professional Ethics Of Freelance Translators Module 12: Ensuring Quality Free Course: ChatGPT Masterclass: A Complete ChatGPT Zero to Hero! Section 01: Getting Started Section 02: ChatGPT - Basic Section 03: ChatGPT For Developers Section 04: Build, And Scale Your Business Using ChatGPT Section 05: ChatGPT For Students Section 06: The Power Of ChatGPT Section 07: ChatGPT For Excel Professionals Section 08: Generate Incredible Graphic Art With Dall-E 2 Section 09: The Best Tools And Extensions Using ChatGPT How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate:£12.99 CPD Hard Copy Certificate: £29 CPD 20 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This bundle is ideal for: Aspiring freelance translators looking to start their careers. Language enthusiasts seeking a new professional path. Experienced translators aiming to transition to freelancing. Bilingual or multilingual individuals interested in leveraging their aptitudes. Requirements You will not need any prior background or expertise. All you need to take this Freelance Translation Success Secrets is - A smart device. A secure internet connection. Being over the age of 16. And a strong drive for learning and literacy. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Freelance Translator Translation Project Manager Language Services Consultant Localisation Specialist Interpreter Language Tutor or Trainer Certificates CPD Accredited Digital Certificate Digital certificate - £12.99 CPD Accredited Hard Copy Certificate Hard copy certificate - £29 Please note that International students have to pay an additional £10 as a shipment fee.

This online course covers how technical communicators can use Generative Artificial Intelligence to help them: Be more efficient Create better deliverables for their users We went through all the key stages in a technical writing project. At each step, we investigated whether AI tools like ChatGPT and Claude could make a Technical Writer's job easier and better. After a lot of research and testing, we ended up with the content for this course. The course provides a framework that attendees can use to identify opportunities and best practices for integrating ChatGPT, Claude, LLaMA, and similar tools into their technical authoring processes – creating, managing, and delivering technical content. Why attend this course? Integrating AI and natural language processing technologies promise to make Technical Writers more efficient and more effective at what they do. By attending this course, you’ll gain a better understanding of how generative AI can be used by technical communicators. You learn a framework you can use for using tools such as ChatGPT at the different stages of a technical writing project. Who is this course for? This course is for people who have some experience of technical writing, and who want to improve their skills. What will I learn? You’ll learn and practice: What are AI technologies and their relevance to technical writing? Career opportunities and threats How you can use AI at different stages of the documentation process. We cover topics such as planning, writing, reviewing, and production. How to work more efficiently. How to work more effectively. The course does not go into much detail about using generative AI to create images, audio or videos. Learning Materials The course comprises online training modules (4.75 hours of video, plus handouts), which you can complete at your own pace. The course modules are delivered over the Web in small, manageable video presentations. You can pause the videos at any time and return to the course at times that suit you. The course is roughly equivalent to a 1.5 days long classroom course. Examples The modules describe practical examples and techniques you can use right away. Demonstrations The modules contain demonstrations of the techniques and tools when they’re applied to technical writing. Exercises You’ll be given exercises to work on throughout the course. This is a great way to put your learning to practice. Your Instructor Cherryleaf Cherryleaf is a technical writing services company formed in 2002 by people with a passion for technical communication and learning development. Cherryleaf is recognised as a leader within the technical communication profession. Our staff have written articles for the Society for Technical Communication's (STC) Intercom magazine, the Institute of Scientific and Technical Communicator's Communicator journal and tekom's TCWorld magazine. They've also written books on technical communication. We've presented webinars for Adobe, Madcap Software or the STC, and we've spoken at various conferences around the world. Today, organisations throughout Europe use Cherryleaf’s services so they can provide clear information that enables users and staff to complete tasks productively. Course Curriculum Introduction Introduction (0:56) ChatGPT and AI Basics What do the buzzwords mean? (18:19) Using ChatGPT and similar tools - Software and Websites (15:30) Prompt Engineering (17:23) Why use generative AI? Why use generative AI? (5:37) The limitations of Large Language Models (LLMs) and AI systems (7:48) Data security (10:09) Legal considerations (2:59) Quiz Section summary  Frequently Asked Questions When does the course start and finish? The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.How long do I have access to the course?After enrolling, you have 12 months access to this course for as long as you like - across any and all devices you own.What if I am unhappy with the course?We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 14 days and we will give you a full refund.

Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assert…). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.

Duration 1 Days 6 CPD hours This course is intended for This course does not have any technical knowledge prerequisites for the learners, besides being proficient in using a computer and the Internet. IT and/or AI knowledge is a benefit but not a hard requirement. Given the rapid development of AI and the broad range of its applications in everyday life, it is crucial for anyone to attend this course to update their digital skills in an ever-changing world. It is expected that all learners have registered for a free account of OpenAI ChatGPT at https://chat.openai.com. Overview Discover how AI relates to other 4th industrial revolution technologies Learn about AI, ML, and associated cognitive services Overview of AI development frameworks, tools and services Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail The core aim of this ?AI for beginners? course is to introduce its audience to Artificial Intelligence (AI) and Machine Learning (ML) technologies and allow them to understand the practical applications of AI in their everyday personal and professional life. Moreover, the course aims to provide a handful of demos and hands-on exercises to allow the learners to familiarize themselves with usage scenarios of OpenAI ChatGPT and other Generative AI (GenAI) models. The content of this course has been created primarily by using the OpenAI ChatGPT model. AI theoretical concepts. Introduction to AI, ML, and associated cognitive services (Computer vision, Natural language processing, Speech analysis, Decision making). How AI relates to other 4th industrial revolution technologies (cloud computing, edge computing, internet of things, blockchain, metaverse, robotics, quantum computing). AI model classification by utilizing mind maps and the distinctive role of Gen AI models. Introduction to the OpenAI ChatGPT model and alternative generative AI models. Familiarization with the basics of the ChatGPT interface (https://chat.openai.com). Talking about Responsible AI: Security, privacy, compliance, copyright, legal challenges, and ethical implications. AI practical applications Overview of AI development frameworks, tools and services. AI aggregators review. Hand-picked AI tool demos: a.Workplace productivity and the case of Microsoft 365 Copilot. b.The content creation industry. Create text, code, images, audio and video with Gen AI. c.Redefining the education sector with AI-powered learning. Evaluate the OpenAI ChatGPT4 / ChatGPT3.5 model features in more detail: a.Prompting and plugin demos. b.Code interpreter demos. Closing words. Discussion with an AI model on the future of AI. Additional course details: Nexus Humans AI for beginners 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 AI for beginners 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.

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access