144 Deep Learning courses delivered Online

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00

This Embedded Systems Object-Oriented Programming course will help you develop the skills you need to be able to write objected-oriented embedded C applications as well as objected-oriented embedded C++ applications confidently.

If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.

Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.

Start your data science journey with this carefully constructed comprehensive course and get hands-on experience with Python for data science. Gain in-depth knowledge about core Python and essential mathematical concepts in linear algebra, probability, and statistics. Complete data science training with 13+ hours of content.

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production

This course is about developing core skills that will stay with you for a lifetime. It is designed such that you can watch the material and follow along step-by-step. It focuses on the implementation of YOLOv4 to get you up and running. You'll be an object detecting ninja in no time and be able to graduate to more advanced content.

Train The Trainer Level 5 Overview Imagine igniting minds, empowering individuals, and shaping futures - as a trainer, you hold the key to unlock potential within others. But how do you transform passion into practice, expertise into engagement? Train the Trainer Level 5 is your gateway to mastery, equipping you with the tools and techniques to become a transformative trainer. Step into a dynamic learning environment where theory fuses with practice. Master the art of creating safe spaces where participants thrive. Craft magnetic opening sessions that captivate from the outset. Build unwavering trust and rapport, fostering a foundation for deep learning. Facilitate impactful classroom activities with laser focus, ensuring every moment cultivates growth. This comprehensive course delves into the intricacies of managing large groups. Learn to hook even the most diverse audiences, deliver captivating instruction, and offer supportive guidance that empowers all. Cultivate band well-being - yours and your learners' - for a truly sustainable training practice. Discover techniques to manage stress, navigate negativity, and gracefully handle disruptions. Learning Outcomes: Design and deliver engaging training sessions that cater to diverse learning styles. Foster a supportive and inclusive learning environment. Utilize effective facilitation techniques to maximize learning outcomes. Manage large groups with confidence and clarity. Cultivate well-being and resilience for yourself and your learners. Why You Should Choose Office Admin, Secretarial and PA Diploma Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Train The Trainer Level 5 is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Train The Trainer Level 5 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Train the Trainer - Part 1 Introduction and Welcome Introduction to Trainer Bootcamp 00:12:00 What Makes a Great Trainer? 00:18:00 Make Them Feel Safe Before Class Make Them Feel Safe Before Class Introduction 00:05:00 Make Comfortable Small Talk - Part 1 00:17:00 Make Comfortable Small Talk - Part 2 00:20:00 Make Comfortable Small Talk - Activity Feedback 00:09:00 Make an Impressive First Impression 00:15:00 Give Last Minute Reminders - Part 1 00:19:00 Give Last Minute Reminders - Part 2 00:15:00 Start with an amazing opener Give Your Introduction - Part 1 00:18:00 Give Your Introduction - Part 2 00:20:00 Give Your Introduction - Part 3 00:04:00 Find Out About Them 00:18:00 Reveal the Takeaways 00:13:00 Set Boundaries and Expectations - Part 1 00:18:00 Set Boundaries and Expectations - Part 2 00:06:00 Give the Lesson Hook 00:07:00 Build Credibility and Rapport Qui Do an Oral Review - Part 1 00:17:00 Do an Oral Review - Part 2 00:04:00 Send Them to Break 00:04:00 Walk and Talk During Break 00:11:00 Bring Them Back From Break 00:13:00 Workbook Workbook - Train the Trainer - Part 1 00:00:00 Training on Facilitating Classroom Activity Introduction and Welcome Introduction 00:11:00 Get Buy-In for the Activity Build Pre-Activity Credibility and Rapport 00:15:00 Hook the Trainees on the Activity - Part 1 00:15:00 Hook the Trainees on the Activity - Part 2 00:12:00 Craig Czarnecki - 1-3 Get Buy-In for the Activity 00:06:00 Craig Czarnecki - 1-1 Part 1 Activity - Get Buy In for the Activity 00:11:00 Find Trainees Who Need Help Craig Czarnecki - 2-1 Find Trainees Who Need Help 00:10:00 Craig Czarnecki - 2-2 Find Trainees Who Need Help 00:19:00 Craig Czarnecki - 2-3 Activity Find Trainees Who Need Help 00:19:00 Tutor Effectively During Activities Craig Czarnecki - 3-1 Activity Tutor Effectively During Activities 00:17:00 Craig Czarnecki - 3-2 Tutor Effectively During Activities 00:11:00 Craig Czarnecki - 3-3 Tutor Effectively During Activities 00:20:00 Craig Czarnecki - 3-4 Activity Tutor Effectively During Activities 00:19:00 Craig Czarnecki - 3-5 Activity Tutor Effectively During Activities 00:09:00 Manage the Activity Pace Craig Czarnecki - 4-1 Manage the Activity Pace 00:17:00 Craig Czarnecki - 4-2 Activity Manage the Activity Pace 00:14:00 Prepare to Lead an Activity Craig Czarnecki - 5 Activity Prepare to Lead an Activity 00:18:00 Craig Czarnecki - Activity Highlight Video 00:09:00 Train the Trainer Coach: Complete Guide to Coaching Trainers 0.1 Craig Czarnecki - Coach Intro Part 1 00:19:00 0.2 Craig Czarnecki - Coach Intro Part 2 00:07:00 1.1 Craig Czarnecki - Coach Learn About the Trainer - Recognize the Trainers Strengths 00:13:00 1.2 Craig Czarnecki - Coach Learn About the Trainer - Gauge areas for improvement 00:07:00 1.3 Craig Czarnecki - Coach Learn About the Trainer - Identify what's Important to the trainer 00:03:00 1.4 Craig Czarnecki - Coach Identify the Trainers Style 00:01:00 2.1 Craig Czarnecki - Coach Create Initial Value for the Trainer - Create Deliverables for the kickoff meeting 00:08:00 2.2 Craig Czarnecki - Coach Create Initial Value for the Trainer - Create a hook for the kickoff meeting 00:10:00 2.3 Craig Czarnecki - Coach Create Initial Value for the Trainer - Prepare for the kickoff meeting 00:07:00 3.1.1 Craig Czarnecki - Make a Good First Impression - Build a Teammate Relationship Immediately Part 1 00:10:00 3.1.2 Craig Czarnecki - Make a Good First Impression - Build a Teammate Relationship Immediately Part 2 00:14:00 3.1.3 Craig Czarnecki - Make a Good First Impression - Build a Teammate Relationship Immediately Part 3 00:16:00 3.2.1 Craig Czarnecki - Make a Good First Impression - Discuss the Process for Trainer Growth Part 1 00:12:00 3.2.2 Craig Czarnecki - Make a Good First Impression - Discuss the Process for Trainer Growth part 2 00:12:00 4.1 Craig Czarnecki - Observe the Trainer in the Classroom - Prepare for the Classroom Observation 00:15:00 4.2.1 Craig Czarnecki - Observe the Trainer in the Classroom - Master 7 Keys to Effective Note-Taking Part 1 00:14:00 4.2.2 Craig Czarnecki - Observe the Trainer in the Classroom - Master 7 Keys to Effective Note-Taking Part 2 00:14:00 4.3 Craig Czarnecki - Observe the Trainer in the Classroom - Apply 4 Quick Steps to Classroom Oberserations 00:09:00 4.4.1 Craig Czarnecki - Observe trainer activity part 1 00:19:00 4.4.2 Craig Czarnecki - Observe trainer activity part 2 00:18:00 5.1.1 Craig Czarnecki - Write a Classroom Observation Summary - Identify Strengths and Areas for Improvement Part 1 00:12:00 5.1.2 Craig Czarnecki - Write a Classroom Observation Summary - Identify Strengths and Areas for Improvement part 2 00:13:00 5.2.1 Craig Czarnecki - Write a Classroom Observation - Record Strengths and Areas for Improvement Part 1 00:19:00 5.2.2 Craig Czarnecki - Write a Classroom Observation - Record Strengths and Areas for Improvement Part 2 00:17:00 5.2.3 Craig Czarnecki - Write a Classroom Observation - Record Strengths and Areas for Improvement Part 3 00:18:00 5.3 Craig Czarnecki - Write a Classroom Observation - Record the Main Strength of the Trainer 00:35:00 Resources Resources - Train the Trainer Coach: Complete Guide to Coaching Trainers 00:00:00 Train the Trainer Coliseum: How to Train Very Large Classes Hook A Large Class Introduction and Welcome 00:06:00 Open Well 00:27:00 Teach A Large Class Communicate Effectively 00:15:00 Support A Large Class Provide In Class Support 00:17:00 Train the Trainer Recharge: The Healthy Trainer Welcome to Healthy Trainer Introduction and Welcome 00:19:00 Manage Yourself Take Good Care Of Yourself 00:06:00 Manage Your Stress 00:09:00 Manage Your Issues Anticipate Unexpected Issues 00:08:00 Get Help And Make It Helpful 00:13:00 Manage Your Classroom Help Them Get It 00:14:00 Manage Large Classes 00:09:00 Manage Your Audience Have Fun Your Way 00:13:00 Control Tough Customers 00:10:00 Engage Adult Students With Ease 00:02:00 Manage Your Feedback Interpret Your Feedback 00:02:00 Wrap Up Questions And Answers 00:04:00 Resources Resources - Train the Trainer Recharge: The Healthy Trainer 00:00:00 Train the Trainer Serenity Course Welcome to Serenity Introduction and Welcome 00:14:00 Stop Interruptions Hog-Tie the Talk Hogs 00:20:00 Give the Experts the Spotlight 00:12:00 Simmer Down the Know-it-Alls 00:11:00 Handle Negativity Placate Resenters - Part 1 00:11:00 Placate Resenters - Part 2 00:14:00 Handle the Fault-Finders 00:11:00 Shut Down the Hecklers 00:10:00 Manage Inattention Stimulate Stubborn Passivists 00:06:00 Engage the Distracted Inefficient 00:07:00 Workbook Workbook - Train the Trainer Serenity Course 00:00:00

This course is designed to explore creative potential and hone artistic skills using ChatGPT. It covers how to use ChatGPT, generate ideas, research for a novel, create comics, and use other AI tools. Additionally, the course introduces ChatGPT for storytelling by providing prompts and refining its output to generate story ideas and characters.

Duration 3 Days 18 CPD hours This course is intended for This in an intermediate and beyond-level course is geared for experienced Python developers looking to delve into the exciting field of Natural Language Processing. It is ideally suited for roles such as data analysts, data scientists, machine learning engineers, or anyone working with text data and seeking to extract valuable insights from it. If you're in a role where you're tasked with analyzing customer sentiment, building chatbots, or dealing with large volumes of text data, this course will provide you with practical, hands on skills that you can apply right away. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll: Master the fundamentals of Natural Language Processing (NLP) and understand how it can help in making sense of text data for valuable insights. Develop the ability to transform raw text into a structured format that machines can understand and analyze. Discover how to collect data from the web and navigate through semi-structured data, opening up a wealth of data sources for your projects. Learn how to implement sentiment analysis and topic modeling to extract meaning from text data and identify trends. Gain proficiency in applying machine learning and deep learning techniques to text data for tasks such as classification and prediction. Learn to analyze text sentiment, train emotion detectors, and interpret the results, providing a way to gauge public opinion or understand customer feedback. The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. Launch into the Universe of Natural Language Processing The journey begins: Unravel the layers of NLP Navigating through the history of NLP Merging paths: Text Analytics and NLP Decoding language: Word Sense Disambiguation and Sentence Boundary Detection First steps towards an NLP Project Unleashing the Power of Feature Extraction Dive into the vast ocean of Data Types Purification process: Cleaning Text Data Excavating knowledge: Extracting features from Texts Drawing connections: Finding Text Similarity through Feature Extraction Engineer Your Text Classifier The new era of Machine Learning and Supervised Learning Architecting a Text Classifier Constructing efficient workflows: Building Pipelines for NLP Projects Ensuring continuity: Saving and Loading Models Master the Art of Web Scraping and API Usage Stepping into the digital world: Introduction to Web Scraping and APIs The great heist: Collecting Data by Scraping Web Pages Navigating through the maze of Semi-Structured Data Unearth Hidden Themes with Topic Modeling Embark on the path of Topic Discovery Decoding algorithms: Understanding Topic-Modeling Algorithms Dialing the right numbers: Key Input Parameters for LSA Topic Modeling Tackling complexity with Hierarchical Dirichlet Process (HDP) Delving Deep into Vector Representations The Geometry of Language: Introduction to Vectors in NLP Text Manipulation: Generation and Summarization Playing the creator: Generating Text with Markov Chains Distilling knowledge: Understanding Text Summarization and Key Input Parameters for TextRank Peering into the future: Recent Developments in Text Generation and Summarization Solving real-world problems: Addressing Challenges in Extractive Summarization Riding the Wave of Sentiment Analysis Unveiling emotions: Introduction to Sentiment Analysis Tools Demystifying the Textblob library Preparing the canvas: Understanding Data for Sentiment Analysis Training your own emotion detectors: Building Sentiment Models Optional: Capstone Project Apply the skills learned throughout the course. Define the problem and gather the data. Conduct exploratory data analysis for text data. Carry out preprocessing and feature extraction. Select and train a model. ? Evaluate the model and interpret the results. Bonus Chapter: Generative AI and NLP Introduction to Generative AI and its role in NLP. Overview of Generative Pretrained Transformer (GPT) models. Using GPT models for text generation and completion. Applying GPT models for improving autocomplete features. Use cases of GPT in question answering systems and chatbots. Bonus Chapter: Advanced Applications of NLP with GPT Fine-tuning GPT models for specific NLP tasks. Using GPT for sentiment analysis and text classification. Role of GPT in Named Entity Recognition (NER). Application of GPT in developing advanced chatbots. Ethics and limitations of GPT and generative AI technologies.