12607 AI courses delivered On Demand

Overview The global AI market is projected to reach $190.61 billion by 2025. This Beginner Crash Course on ChatGPT course is designed to equip you with the essential skills and knowledge needed to thrive in this dynamic landscape. This Beginner Crash Course on ChatGPT is your gateway to a world where human-computer interaction is evolving at an unprecedented pace. This course offers a comprehensive exploration of ChatGPT, covering many practical applications. With a curriculum meticulously designed for beginners, you'll gain a deeper understanding of utilising ChatGPT for tasks such as language translation, code generation, content creation, marketing research, and much more.  Grab this opportunity to unlock your potential and stay ahead in AI. Enrol in the Beginner Crash Course on ChatGPT today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Beginner Crash Course on ChatGPT. It is available to all students, of all academic backgrounds. Requirements Our Beginner Crash Course on ChatGPT is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 7 sections • 36 lectures • 03:09:00 total length •Sign up for an OpenAI Account: 00:01:00 •Using ChatGPT for language translation: 00:04:00 •Using ChatGPT for Asking Questions: 00:03:00 •Code generation and code debugging with ChatGPT: 00:02:00 •Creating social media posts with ChatGPT: 00:08:00 •Blogging Articles and Editing: 00:04:00 •Using ChatGPT for Letters and Resumes: 00:05:00 •Generating Business Ideas: 00:05:00 •Do marketing Research: 00:16:00 •Generate Marketing Ideas: 00:04:00 •Provide an agreement for writing service: 00:02:00 •ChatGPT for Teaching (Accounting): 00:03:00 •Solve a Math Question: 00:01:00 •Create Short Story: 00:04:00 •Role Play: 00:02:00 •Write article: 00:07:00 •Write a speech: 00:09:00 •Write a Conversation: 00:02:00 •Suggest Research Ideas and Topics: 00:03:00 •Find creative titles for your article: 00:04:00 •Create an outline or structure for your paper: 00:02:00 •Summarization of Paper: 00:22:00 •Keyword Extraction: 00:02:00 •Plagiarism detection? (actually, not): 00:03:00 •Limitations of ChatGPT part - 01: 00:02:00 •Limitations of ChatGPT part - 02: 00:05:00 •Will ChatGPT generate junk information to flood internet: 00:06:00 •Limitations of ChatGPT-Map function not included: 00:03:00 •List Outline for your book: 00:01:00 •My first Chat with ChatGPT, I love it!: 00:22:00 •Shorten or Summarize an article: 00:01:00 •Suggest a title for your Online publishing: 00:12:00 •Use ChatGPT as a dictionary: 00:07:00 •Using ChatGPT as Your Personal Secretary: 00:06:00 •Using ChatGPT for Buzz Word Explanation: 00:03:00 •Using ChatGPT for Word Definition: 00:03:00

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.

Thinking about learning more understanding the role of data within an organisation? As data becomes an important currency in the world and an enabler for the future, it is imperative that all organisations have a firm understanding of the data available to them and the power it can hold. The BCS Foundation Award in Understanding Data in your Organisation teaches the the terminology, principles, concepts and approaches used within data management, and the overall value of data to an organisation.

Description Register on the 3D Humanoid Characters in Unity today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The 3D Humanoid Characters in Unity course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Module 01: Introduction Welcome 00:01:00 Module 02: Creating and Rigging Characters Using Autodesk's Character Generator 00:09:00 Creating characters with Adobe Fuse 00:08:00 Auto-rigging with Adobe Mixamo 00:03:00 Applying animation to rigged characters in Mixamo 00:03:00 Importing an Autodesk character into Adobe Mixamo 00:02:00 Selecting and animating a fantasy character within Mixamo 00:04:00 Exploring commercial rigged and animated characters 00:03:00 Module 03: Setting the Scene Using Unity Hub to install the Unity Editor 00:06:00 Configuring Unity's user interface 00:04:00 Importing and setting up an architectural model 00:07:00 Importing selected standard assets 00:05:00 Rendering lightmap data for static objects 00:05:00 Module 04: Character Materials, Textures and Normal Maps Configuring packages 00:03:00 Creating Cinemachine virtual cameras 00:08:00 Combining texture maps in Photoshop 00:09:00 Shaders and render modes for eyes and eyelashes 00:05:00 Configuring hair material and texture maps 00:05:00 Combining textures with alpha channel using Gimp 00:05:00 Module 05: Third-Person Character Control Exploring an avatar's bones and muscles 00:05:00 Referencing a controller in the animator component 00:07:00 Controlling the character with scripts and components 00:07:00 Altering code to make the character walk by default 00:06:00 Altering the script to walk and not run diagonally 00:05:00 Module 06: Configuring Characters and Cameras Set up Cinemachine FreeLook camera 00:03:00 Fine-tune free look rigs 00:07:00 Replacing animations in controller 00:07:00 Integrating a death animation into controller 00:07:00 Scripting death by falling 00:05:00 Walking upstairs using colliders from hidden ramps 00:05:00 Module 07: Making Characters Easily Interchangeable Bringing in a new character 00:04:00 Designing a third person player game object 00:06:00 Connecting FreeLook camera to third person player 00:03:00 Swapping out characters within the third person player 00:03:00 Using legacy characters 00:06:00 Using high quality commercial characters 00:07:00 Making character prefabs and overrides 00:06:00 Module 08: Refining Look with Cinemachine Extensions Using the Cinemachine collider extension 00:06:00 Setting up post-processing and anti-aliasing 00:04:00 Configuring post-processing effects 00:06:00 Module 09: Animating Stationary Characters Commercial animated stationary characters 00:07:00 Custom animated stationary characters 00:06:00 Providing seating for an animated character 00:04:00 Cropping an animation on humanoid rig 00:06:00 Module 10: Making Non-Player Characters Artificially Intelligent Bring in a new character to be driven by Ai 00:04:00 Configuring components on Ai character 00:04:00 Building and refining the nav mesh 00:05:00 Getting agents to climb stairs 00:03:00 Creating off-mesh links 00:03:00 Making nav mesh obstacles 00:06:00 Implementing high-cost areas for the Ai 00:06:00 Abstracting NPC for use with other skins & avatars 00:06:00 Module 11: Converting the Simulation into a Game Outlining the goal of the game 00:03:00 Getting the NPC to chase the Player 00:03:00 Getting a hold of the Player's Animator through code 00:08:00 Logging NPC's collision with Player to console 00:06:00 Stopping the NPC and killing the Player 00:07:00 Offsetting the death animation 00:03:00 Allowing NPC to take leap with off-mesh link 00:07:00 Module 12: Building a User Interface Adding user interface with canvases and buttons 00:09:00 Toggling defeat canvas on when NPC collides with Player 00:04:00 Differentiating between victory and defeat in code 00:09:00 Refining the NavMesh for fluid Ai movement 00:03:00 Building a GameManager class and game object 00:08:00 Connecting Restart buttons to setting bool Property true 00:05:00 Module 13: Playing with Game Controllers Connecting controller and testing in game 00:01:00 Mapping the Fire2 axis to run 00:07:00 Mapping the Fire1 axis to crouch 00:05:00 Mapping analogue stick to Cinemachine FreeLook camera 00:05:00 Fine tuning how analog game stick controls camera 00:05:00 Module 14: Conclusion Building and playing standalone game 00:05:00 Bonus 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

A step-by-step guide that walks you through the fundamentals of Python programming followed using Python libraries to create random forest from scratch. A comprehensive course designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.

The Future of Leadership: Introducing a New Leadership Model That Embraces Power skills, Diversity and Inclusion and Community Service Power Skills (EQ) are so important in a numbers and technology-driven world. Where technology, automation and AI has infiltrated all aspects of our personal and professional lives, power skills continue to not only be our differentiator but essential for us to learn, grow and connect. This session will focus on specific power skills of awareness, empathy and relationships which power our new leadership model, combined with diversity and inclusion presence. These skills can be put into practice in the professional, non-profit and educational space to allow the individual to move beyond the numbers and succeed in whatever we pursue. We will explore how these skills have become even more important during the pandemic, and the new future of work and learning. How Power Skills (EQ) have become more important and necessary in the new pandemic world and will continue to be necessary post pandemic. Why Power Skills will be needed throughout your career even more than ever due to the future of work Being a leader is not just about being diversity and inclusion aware, but now also conversant and opinionated Community service and giving back builds your power skills and diversity and inclusion leadership skills

Unlock the potential of Notion with our “Notion for Complete Beginners” course. Master productivity, organization, and collaboration effortlessly.

Discover the thrilling world of artificial intelligence with the 'Machine Learning Course with Python'. Immerse yourself in a voyage from foundational concepts, unveiling the mysteries behind algorithms, to diving deep into the cores of preprocessing, regression, and classification. Crafted meticulously, this course introduces Python as the catalyst, opening doors to data-driven decision-making and predictive analysis, empowering your journey in the ever-evolving field of machine learning. Learning Outcomes Grasp the foundational knowledge of various machine learning algorithms. Attain proficiency in preprocessing data for optimal outcomes. Master the nuances of regression analysis using Python. Delve into the intricacies of classification techniques. Enhance problem-solving abilities with practical Python-driven machine learning applications. Why choose this Machine Learning Course with Python course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Machine Learning Course with Python 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. Who is this Machine Learning Course with Python course for? Aspiring data scientists eager to harness the power of machine learning. Python enthusiasts aiming to delve into its applications in AI. Professionals in the tech industry seeking a transition into data roles. Academics and researchers wanting to employ machine learning in their work. Business analysts aiming to leverage predictive analytics for better insights. Career path Data Scientist: £40,000 - £70,000 Machine Learning Engineer: £50,000 - £80,000 AI Researcher: £45,000 - £75,000 Data Analyst: £30,000 - £50,000 Python Developer: £35,000 - £65,000 Business Intelligence Developer: £40,000 - £60,000 Prerequisites This Machine Learning Course with Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Course with Python 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 Module 01: Introduction to Machine Learning Algorithms Introduction to types of ML algorithm 00:02:00 Module 02: Preprocessing Importing a dataset in python 00:02:00 Resolving Missing Values 00:06:00 Managing Category Variables 00:04:00 Training and Testing Datasets 00:07:00 Normalizing Variables 00:02:00 Normalizing Variables - Python Code 00:03:00 Summary 00:01:00 Module 03: Regression Simple Linear Regression - How it works? 00:04:00 Simple Linear Regreesion - Python Implementation 00:07:00 Multiple Linear Regression - How it works? 00:01:00 Multiple Linear Regression - Python Implementation 00:09:00 Decision Trees - How it works? 00:05:00 Random Forest - How it works? 00:03:00 Decision Trees and Random Forest - Python Implementation 00:04:00 Module 04: Classification kNN - How it works? 00:02:00 kNN - Python Implementation 00:10:00 Decision Tree Classifier and Random Forest Classifier in Python 00:10:00 SVM - How it works? 00:04:00 SVM - Python Implementation 00:06:00 Assignment Assignment - Machine Learning Course with Python 00:00:00

This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.