573 Courses

his course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. These concepts are daily used by programmers and is your first step to working as a programmer. By the end, you'll be comfortable in programming Python code. You will have done small projects. This will serve for you as examples and samples that you can use to build larger projects.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Did you know that the UK manufacturing sector relies heavily on Computer Numerical Control (CNC) programming, with over 2 million CNC machines in operation? Yet, skilled CNC programmers are in high demand. Are you ready to join this vital industry and shape the future of manufacturing with code? This CNC (Computer Numerical Control) Programming Bundle aims to teach students the intricacies of CNC programming and enhance their software and coding skills across various languages and platforms, preparing professionals for the surge in manufacturing automation in the UK. The amalgamation of programming languages such as C++, C#, Python, and JavaScript with CNC programming creates a formidable toolset that addresses both the creative and analytical aspects of technological manufacturing and design. With our CNC (Computer Numerical Control) Programming exclusive bundle, you will get a PDF & Hardcopy Certificate, PDF Transcript and Digital Student ID Card (worth £120) Absolutely FREE. Courses are Included in This CNC (Computer Numerical Control) Programming Bundle: Course 01: CNC Programming Course 02: C++ Programming for Absolute Beginners Course 03: JavaScript Foundations for Everyone Course 04: Python Programming for Everybody Course 05: Basic C# Coding Course 06: Introduction to Coding with HTML, CSS, & Bootstrap Course 07: Kotlin Programming: Android Coding Course 08: SQL Programming Masterclass Course 09: Master JavaScript with Data Visualization Course 10: Machine Learning with Python Course 11: Solidworks Foundation Training Course 12: CAD Design Course: Assemblies, Modelling And Civil Drawings Course 13: AutoCAD VBA Programming Course 14: Cyber Security Awareness Training Course 15: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 16: CompTIA PenTest+ (Ethical Hacking) Course 17: Industry 4.0 - Automation & Applications Course 18: AutoCAD Programming using C# with Windows Forms So enrol now in this CNC (Computer Numerical Control) Programming Today to advance your career! Learning Outcomes of CNC (Computer Numerical Control) Programming Bundle: Master CNC programming to enhance precision in automated manufacturing processes. Develop advanced C++ coding skills for complex problem-solving in technical environments. Acquire a solid foundation in JavaScript essential for web-based CNC control interfaces. Gain proficiency in Python for automation and scripting within CNC operational frameworks. Learn the essentials of HTML, CSS, & Javascript for crafting intuitive CNC machine interfaces. Understand SQL database management to maintain robust CNC operational data records. Why Choose Our CNC (Computer Numerical Control) Programming Bundle? FREE CNC (Computer Numerical Control) Programming certificate Get a free student ID card with CNC (Computer Numerical Control) Programming Training Get instant access to this CNC (Computer Numerical Control) Programming course. Learn CNC (Computer Numerical Control) Programming from anywhere in the world The CNC (Computer Numerical Control) Programming is affordable and simple to understand The CNC (Computer Numerical Control) Programming is an entirely online, interactive lesson with voiceover audio Lifetime access to the CNC (Computer Numerical Control) Programming course materials The CNC (Computer Numerical Control) Programming comes with 24/7 tutor support Start your learning journey straightaway! *** Course Curriculum *** Course 01: CNC Programming Module 1: Scope of the Course Module 2: Numerical Control of Machine Tools Module 3: CNC- Computer Numerical Control Syst Module 4: Components of CNCs Module 5: Point to Point CNC Machines Module 6: Incremental & Absolute CNC Machines Module 7: Open & Close Control Loop CNC Machines Module 8: 2 &3 Axes CNC Machines Module 9: Importance of Higher axes Machining Module 10: Programming Format Module 11: Cartesian Coordinate System Module 12: How to Write a Program Module 13: Basic CNC Programming (Absolute Mode) Module 14: Basic CNC Programming (Incremental) Module 15: A Simple Coding Exercise Module 16: Applications of CNC Course 02: C++ Programming for Absolute Beginners Section 01: Getting Started With C++ Section 02: Setting Up Local Development Section 03: C++ Basics Section 04: C++ Data Types Section 05: C++ Operators Section 06: C++ Strings Section 07: C++ Decision Making Section 08: C++ Control Flow Loops Section 09: C++ Arrays Section 10: C++ Functions Course 03: JavaScript Foundations for Everyone Module 01: About the Author Module 02: Introduction to JavaScript Module 03: Strengths and Weaknesses of JavaScript Module 04: Writing JavaScript in Chrome Module 05: JavaScript Variables Module 06: Demo of JavaScript Variables Module 07: Basic Types of JavaScript Module 08: JavaScript Boolean Module 09: JavaScript Strings Module 10: JavaScript Numbers Module 11: JavaScript Objects Module 12: Demo of JavaScript Objects Module 13: JavaScript Arrays Module 14: Demo of JavaScript Arrays Module 15: JavaScript Functions Module 16: Demo of JavaScript Functions Module 17: JavaScript Scope and Hoisting Module 18: Demo of JavaScript Scope and Hoisting Module 19: Currying Functions Module 20: Demo of Currying Functions Module 21: Timeouts and Callbacks Module 22: Demo of Timeouts and Callbacks Module 23: JavaScript Promises Module 24: Demo of JavaScript Promises Module 25: Demo of Javascript Async Module 26: Flow Control Module 27: Demo of Flow Control Module 28: JavaScript For Loop Module 29: Demo of JavaScript For Loop Module 30: Demo of Switch Statements Module 31: Error Handling Module 32: Demo Project =========>>>>> And 15 More Courses <<<<<========= 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: Free (Previously it was £12.99*18= £233) CPD Hard Copy Certificate: Free ( For The First Course: Previously it was £29.99) CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This CNC (Computer Numerical Control) Programming bundle is suitable for everyone. Requirements You will not need any prior background or expertise in this CNC (Computer Numerical Control) Programming bundle. Career path This CNC (Computer Numerical Control) Programming bundle will allow you to kickstart or take your career in the related sector to the next stage. CNC Operator CAD Technician Production Engineer Data Analyst Software Developer Machine Learning Expert Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. 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 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.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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.

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.

Kickstart your career with our Complete Python from Scratch: Start your career in Python 3+ course. Python is an all-purpose language with one of the biggest and abundant library features. It is used for a wide range of purposes such as web development, scripting, testing, app development, and data science. So it's one of the most sought after skills by employers. The Complete Python from Scratch: Start your career in Python 3+ course is designed to give you a complete understanding of the programming language right from setup to advanced level applications.The experience will provide you with the chance to work in a variety of sectors including web development, machine learning, data security, analytics and so much more. It will prepare you with sound theoretical and practical knowledge of Python programming that will prepare you to work with evidence-based strategies. If you are keen to equip yourself with knowledge of programming with Python and make a strategic career intervention, then choose our Complete Python from Scratch: Start your career in Python 3+ course. Upon completion of this CPD accredited course, you will be awarded a certificate of completion, as proof of your expertise in this field, and you can show off your certificate in your LinkedIn profile and in your resume to impress employers and boost your career. Our Complete Python from Scratch: Start your career in Python 3+ course is packed with 14 modules, with a total of 18 hours of learning materials. You will be able to study this course at your own pace, from anywhere and at any time. Enrol today and upgrade your knowledge on Python programming to lead a more prosperous life.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Big Data Analytics with PySpark Power BI and MongoDB Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Big Data Analytics with PySpark Power BI and MongoDB Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Big Data Analytics with PySpark Power BI and MongoDB Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Big Data Analytics with PySpark Power BI and MongoDB Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Big Data Analytics with PySpark Power BI and MongoDB? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Big Data Analytics with PySpark Power BI and MongoDB 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 free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Big Data Analytics with PySpark Power BI and MongoDB course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Big Data Analytics with PySpark Power BI and MongoDB does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Big Data Analytics with PySpark Power BI and MongoDB was made by professionals and it is compatible with all PCs, Macs, 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. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Big Data Analytics with PySpark Power BI and MongoDB is a great way for you to gain multiple skills from the comfort of your home.   Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:03:00 Installing Apache Spark 00:12:00 Installing Java (Optional) 00:05:00 Testing Apache Spark Installation 00:06:00 Installing MongoDB 00:04:00 Installing NoSQL Booster for MongoDB 00:07:00 Section 03: Data Processing with PySpark and MongoDB Integrating PySpark with Jupyter Notebook 00:05:00 Data Extraction 00:19:00 Data Transformation 00:15:00 Loading Data into MongoDB 00:13:00 Section 04: Machine Learning with PySpark and MLlib Data Pre-processing 00:19:00 Building the Predictive Model 00:12:00 Creating the Prediction Dataset 00:08:00 Section 05: Creating the Data Pipeline Scripts Installing Visual Studio Code 00:03:00 Creating the PySpark ETL Script 00:22:00 Creating the Machine Learning Script 00:24:00 Section 06: Tableau Data Visualization Installing Tableau 00:03:00 Installing MongoDB ODBC Drivers 00:03:00 Creating a System DSN for MongoDB 00:04:00 Loading the Data Sources 00:04:00 Creating a Geo Map 00:11:00 Creating a Bar Chart 00:03:00 Creating a Magnitude Chart 00:07:00 Creating a Table Plot 00:06:00 Creating a Dashboard 00:07:00 Source Code Source Code and Notebook

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Unlock the power of Data Analyst (Data Analytics) with our cutting-edge Data Analyst (Data Analytics) course and transform raw information into strategic insights of Data Analyst (Data Analytics) that drive success. Get Free 1 QLS Endorsed Course with Certificate & 10 Additional CPD Accredited Courses In A Single Payment. This Data Analyst (Data Analytics) Bundle Package includes: Course 01: Diploma in Data Analysis at QLS Level 5 10 Additional CPD Accredited Premium Courses related to Data Analyst (Data Analytics) - Course 01: Data Analytics with Tableau Course 02: Data Science & Machine Learning with R Course 03: Excel Pivot table for Data analytics Course 04: JavaScript Functions for Data Analyst Course 05: Data analytics with Excel Course 06: Mastering SQL Programming for Data Analyst Course 07: Google Data Studio Course 08: Business Intelligence and Data Mining for Data Analyst Course 09: GDPR Training Course 10: Learn Programming with Python Learning outcome of this Data Analyst (Data Analytics) Bundle: Apply data analyst techniques to modify worksheets effectively. Utilise data analyst strategies for working with lists. Demonstrate proficiency in analyzing data as a data analyst. Visualize data using charts as a data analyst. Employ PivotTables and Pivot Charts for complex Data Analyst Manage multiple worksheets and workbooks efficiently as a data analyst. Use lookup functions and formula auditing for accurate Data Analyst Why Prefer This Data Analyst (Data Analytics) Bundle? FREE certificate on Data Analyst (Data Analytics)accredited by CPDQS Get instant access to this Data Analyst (Data Analytics) course. Learn Data Analyst (Data Analytics) from anywhere in the world Data Analyst (Data Analytics) is affordable and simple to understand Data Analyst (Data Analytics) is an entirely online, interactive lesson with voiceover audio Lifetime access to the Data Analyst (Data Analytics) bundle materials Data Analyst (Data Analytics) comes with 24/7 tutor support Free assessments available with Data Analyst (Data Analytics) Get a free student ID card! with Data Analyst (Data Analytics) Assessment Process of Data Analyst (Data Analytics) Course: You have to complete the assignment questions given at the end of the Data Analyst (Data Analytics) course and score a minimum of 60% to pass each exam, after that you can claim your certificate CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is for whoever wishes to gain a better understanding of Data Analyst (Data Analytics) Requirements You will not need any prior background or expertise to take this Data Analyst (Data Analytics) Career path Data Analyst Retail Data Analyst Statistical Data Analyst Certificates CPD Accredited e-Certificate Digital certificate - Included Diploma in Data Analysis at QLS Level 5 Hard copy certificate - Included

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: IT Solution Architects Network Security Architects Networking Admin and Operations Networking Field Engineers In this workshop you will learn why we are implementing Assurance, and what does looks like and key features. We will also discuss the Cisco DNA center appliance and workflow and tasks associated with an implementation. Module 1: Introduction to Cisco DNA Center Assurance Introduction to DNA Center System Architecture Key Features and Use Cases Introduction to Cisco ISE and DNAC-ISE integration Module 2: Design Network design options Sites Creating Enterprise and Sites Hierarchy Configuring General Network Settings Loading maps into the GUI IP Address Management Software Image Management ? Lab on Day 5 Network Device Profiles AAA SNMP Syslog IP address pools Creating Enterprise and Guest SSIDs ? Lab on Day 2 Creating the wireless RF Profile Cresting the Guest Portal for the Guest SSIDs Network profiles ? Lab on Day 2 Authentication templates Module 3: Discovery and Provision Device Discovery and Protocols Devices Onboarding Assigning Devices to a site Provisioning device with profiles Plug and Play Templates Templates for Day-0 Templates for Day-N operations Module 4: Monitoring Device, Client, and Application Health DNAC Telemetry Monitoring Network Device Health and Performance Monitoring Wired and Wireless Client Health and Performance Monitoring Application Health and Performance Module 5: Application Visibility and DNAC Integration with Umbrella Monitoring Application Visibility in DNA Center Umbrella Introduction DNA Center Umbrella Integration and Use Cases Module 6: Troubleshooting Issues, Observing Insights and Trends Detect Issues, Insights, and Trends in the Network DNA Center Integration with other tools for Monitoring and Management Module 7: Troubleshooting using Cisco DNA Center Assurance Tools DNAC Assurance Troubleshooting Tools Using Sensor Tests Using Intelligent Capture Spectrum Analysis Module 8: DNAC and Thousand Eyes Introduction to ThousandEyes ThousandEyes Use Cases DNA Center and ThousandEyes Integration Module 9: AI Analytics and Machine Learning in DNA Center Overview of AI Analytics and ML (Machine Learning) DNA Center AI and ML Use Cases Module 10: DNA Center Maintenance DNA Center Reports DNA Center Backup and Restore

PYTHON BOOTCAMP: This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts . You will be fully fluent and confident as a Python data analyst, with full understanding of Python Programming. From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards The course is a practical, instructor-lead program.