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Courses Are Included In This Artificial Intelligence, Open AI & ChatGPT Bundle: Course 01: Project on Deep Learning - Artificial Neural Network Course 02: Deep Learning & Neural Networks Python - Keras Course 03: Machine Learning Basics Course 04: Hands on Machine Learning Project - Auto Image Captioning for Social Media Course 05: Statistics & Probability for Data Science & Machine Learning Course 06: Hands on Deep Learning Projects - Stock price Prognostics Course 07: Deep Learning Projects - Convolutional Neural Network Course 08: Deep Learning Projects - Handwritten Digit Recognition Using Neural Network Course 09: Essential Training on Deep Learning Heuristic using R Course 10: Project on Deep Learning - Artificial Neural Network Course 11: Machine Learning with Python Course Course 12: Python Data Science Course 13: Quick Data Science Approach from Scratch Course 14: Data Science & Machine Learning with R Training Course 15: Azure Machine Learning Course 16: A Beginner Crash Course on ChatGPT Course 17: ChatGPT Complete Guide with Expertise Course 18: ChatGPT Masterclass: A Complete ChatGPT Zero to Hero! Course 19: ChatGPT for Marketing and Productivity with AI Tools Course 20: Fundamentals to Identifying Market Trends You Can Capitalise On This comprehensive Artificial Intelligence, Open AI & ChatGPT bundle equips you with the essential skills to thrive in the AI revolution. You'll learn about deep learning, building powerful neural networks that can learn and adapt like the human brain. Master Python, the language of Artificial Intelligence, and explore practical applications like image captioning and stock price prediction. Learning Outcomes Understand the foundational concepts of artificial intelligence and machine learning techniques. Gain hands-on experience with deep learning projects and their practical applications. Learn to implement machine learning algorithms using Python and R programming languages. Develop skills in data science and statistical analysis for informed decision-making. Master ChatGPT functionalities for marketing and productivity enhancements. Explore market trends and develop strategies to leverage AI tools effectively. Don't miss this chance to elevate your career and skillset. Enrol in Artificial Intelligence, Open AI & ChatGPT today and take the first step towards achieving your goals and dreams. Why buy this Artificial Intelligence, Open AI & ChatGPT? Free CPD Accredited Certificate upon completion of Artificial Intelligence, Open AI & ChatGPT Get a free student ID card with Artificial Intelligence, Open AI & ChatGPT Lifetime access to the Artificial Intelligence, Open AI & ChatGPT course materials Get instant access to this Artificial Intelligence, Open AI & ChatGPT course Learn Artificial Intelligence, Open AI & ChatGPT from anywhere in the world 24/7 tutor support with the Artificial Intelligence, Open AI & ChatGPT course. Artificial Intelligence, Open AI & ChatGPT is an entirely online, interactive lesson with voiceover audio. Start your learning journey straightaway with our Artificial Intelligence, Open AI & ChatGPT Training! This Artificial Intelligence's curriculum has been designed by Artificial Intelligence experts with years of Artificial Intelligence experience behind them. The Artificial Intelligence course is extremely dynamic and well-paced to help you understand Artificial Intelligence with ease. You'll discover how to master the Artificial Intelligence skill while exploring relevant and essential topics. *** Course Curriculum *** Course 01: Project on Deep Learning - Artificial Neural Network Section 01: Introduction Section 02: ANN Installation Section 03: Data Preprocessing Section 04: Data Encoding Section 05: Steps to Build ANN Section 06: Predictions and Imbalance-Learn Certification of Artificial Intelligence, Open AI & ChatGPT You have to complete the assignment given at the end of the Artificial Intelligence, Open AI & ChatGPT course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Artificial Intelligence, Open AI & ChatGPT exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Artificial Intelligence, Open AI & ChatGPT course is ideal for: Students seeking mastery in Artificial Intelligence, Open AI & ChatGPT Professionals seeking to enhance Artificial Intelligence, Open AI & ChatGPT skills Individuals looking for a Artificial Intelligence, Open AI & ChatGPT-related career. Anyone passionate about Artificial Intelligence, Open AI & ChatGPT Requirements This Artificial Intelligence, Open AI & ChatGPT doesn't require prior experience and is suitable for diverse learners. Career path This Artificial Intelligence, Open AI & ChatGPT bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course Outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course Outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods Course Summary

24 Hour Flash Deal **25-in-1 Computer Vision: C++ and OpenCV with GPU support Mega Bundle** Computer Vision: C++ and OpenCV with GPU support Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Computer Vision: C++ and OpenCV with GPU support package online with Studyhub through our online learning platform. The Computer Vision: C++ and OpenCV with GPU support bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Computer Vision: C++ and OpenCV with GPU support course provides complete 360-degree training on Computer Vision: C++ and OpenCV with GPU support. You'll get not one, not two, not three, but twenty-five Computer Vision: C++ and OpenCV with GPU support courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Computer Vision: C++ and OpenCV with GPU support courses are yours for as long as you want them once you enrol in this course This Computer Vision: C++ and OpenCV with GPU support Bundle consists the following career oriented courses: Course 01: Computer Vision: C++ and OpenCV with GPU support Course 02: Python 3 Programming Course 03: Machine Learning Course with Python Course 04: Data Science & Machine Learning with R Course 05: Robotics - Sensors Course 06: Digital Electric Circuits & Intelligent Electrical Devices Course 07: AutoCAD Programming using VB.NET with Windows Forms Course 08: Learn MySQL from Scratch for Data Science and Analytics Course 09: Data Structure Course 10: Electronic Device and Circuits Protection Training Course 11: Computer Science with Python Course Course 12: IT Administration and Networking Course 13: Foundations of IT Security: Protecting Digital Assets Course 14: SQL Database Management Course 15: Deep Learning Neural Network with R Course 16: Computer Networks Security from Scratch to Advanced Course 17: Electronic & Electrical Devices Maintenance & Troubleshooting Course 18: Embedded Systems with 8051 Microcontroller Course 19: MATLAB Simulink for Electrical Power Engineering Course 20: Solidworks: Beginner to Advanced Course 21: Info Graphics Web Design - Affinity Designer Training Course 22: Diploma in Python Programming Course 23: Penetration Testing with OWASP ZAP: Mastery course Course 24: Unreal Engine 4 Course 25: Blender 3D Character Modeling & Rendering The Computer Vision: C++ and OpenCV with GPU support course has been prepared by focusing largely on Computer Vision: C++ and OpenCV with GPU support career readiness. It has been designed by our Computer Vision: C++ and OpenCV with GPU support specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Computer Vision: C++ and OpenCV with GPU support Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Computer Vision: C++ and OpenCV with GPU support bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Computer Vision: C++ and OpenCV with GPU support Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Computer Vision: C++ and OpenCV with GPU support Elementary modules, allowing our students to grasp each lesson quickly. The Computer Vision: C++ and OpenCV with GPU support course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Computer Vision: C++ and OpenCV with GPU support bundle, you really hit the jackpot. Here's what you get: Step by step Computer Vision: C++ and OpenCV with GPU support lessons One to one assistance from Computer Vision: C++ and OpenCV with GPU supportprofessionals if you need it Innovative exams to test your knowledge after the Computer Vision: C++ and OpenCV with GPU supportcourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Computer Vision: C++ and OpenCV with GPU support courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Computer Vision: C++ and OpenCV with GPU support certificate and transcript on the next working day Easily learn the Computer Vision: C++ and OpenCV with GPU support skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Computer Vision: C++ and OpenCV with GPU support training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Computer Vision: C++ and OpenCV with GPU support Requirements To participate in this Computer Vision: C++ and OpenCV with GPU support course, all you need is - A smart device A secure internet connection And a keen interest in Computer Vision: C++ and OpenCV with GPU support Career path You will be able to kickstart your Computer Vision: C++ and OpenCV with GPU support career because this course includes various courses as a bonus. This Computer Vision: C++ and OpenCV with GPU support is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Computer Vision: C++ and OpenCV with GPU support career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

For pupils aged 9 - 16 | Delivered in UK Schools by Real World App and Games Developers Our micro:bit Workshop teaches your class about the micro:bit, making some apps and games with them during the workshop (we bring our own micro:bits too if your school doesn't yet have any!). We’ll introduce them to MakeCode, the coding language that the micro:bit uses, and teach them the fundamentals of coding before we work on some really fun projects! For older students, we can even use Python with the micro:bit!

Level-7 QLS Endorsed | 22-in-1 Diploma Bundle| Free CPD PDF+ Transcript Certificate| Lifetime Access| Learner Support

The goal of this course is to teach you how to deploy machine learning models in Flask. You'll also learn to deploy applications to the web. You'll learn to train your models, test them, and ensure that they are of the best quality.

Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.

***24 Hour Limited Time Flash Sale*** Advanced Computer Science Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Advanced Computer Science Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Advanced Computer Science bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Advanced Computer Science Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Advanced Computer Science Career Bundle: Course 01: Computer Science With Python Course 02: Python Programming for Everybody Course 03: C++ Development: The Complete Coding Guide Course 04: Coding with HTML, CSS, & Javascript Course 05: JavaScript Foundations for Everyone Course 06: SQL Programming Masterclass Course 07: SQL for Data Science, Data Analytics and Data Visualization Course 08: Ionic & Angular JS: Mobile and Web Development Course 09: Secure Programming of Web Applications - Developers and TPMs Course 10: Web Application Penetration Testing Course 11: Diploma in CompTIA Network+ Training Level 7 Course 12: CompTIA PenTest+ (Ethical Hacking) Course 13: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 14: R Programming for Data Science Course 15: Quick Data Science Approach from Scratch Course 16: Ionic & Angular JS: Mobile and Web Development Course 17: Machine Learning with Python Course Course 18: Spatial Data Visualization and Machine Learning in Python Course 19: Azure Machine Learning Course 20: Hands on Machine Learning Project - Auto Image Captioning for Social Media Course 21: JavaScript Project - Game Development with JS Course 22: Ultimate PHP & MySQL Web Development & OOP Coding Course 23: Masterclass Bootstrap 5 Course - Responsive Web Design Course 24: Diploma in User Experience UI/UX Design (Advanced) Course 25: Foundations of Artificial Intelligence Course 26: Project on Deep Learning - Artificial Neural Network Course 27: Encryption Course 28: Advanced Training on Windows 10 Course 29: Advance Windows 10 Troubleshooting for IT HelpDesk Course 30: Linux With Advanced Computer Science, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. 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Each segment of Advanced Computer Science is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Advanced Computer Science course. After passing the Advanced Computer Science exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Advanced Computer Science course is ideal for: Students seeking mastery in Advanced Computer Science Professionals seeking to enhance Advanced Computer Science skills Individuals looking for a Advanced Computer Science-related career. Anyone passionate about Advanced Computer Science Requirements This Advanced Computer Science doesn't require prior experience and is suitable for diverse learners. Career path This Advanced Computer Science bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.