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Get ready for an exceptional online learning experience with the Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. This Python, Data Science, Machine Learning, Data Mining & Cyber Security is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Python & Data Science package has something for everyone. As part of the Python, Data Science, Machine Learning, Data Mining & Cyber Security package, you will receive complimentary PDF certificates for all courses in Python & Data Science bundle at no extra cost. Equip yourself with the Python & Data Science bundle to confidently navigate your career path or personal development journey. Enrol our Python & Data Science bundletoday and start your career growth! ThisBundle Comprises the Following CPD Accredited Courses: Python Programming: Beginner To Expert Data Science & Machine Learning with Python Coding with Python 3 Introduction to Coding With HTML, CSS, & Javascript Python for Spatial Analysis in ArcGIS Python Programming Bible | Networking, GUI, Email, XML, CGI Business Intelligence and Data Mining SQL for Data Science, Data Analytics and Data Visualization Python Data Science with Numpy, Pandas and Matplotlib Cloud Computing / CompTIA Cloud+ (CV0-002) Cyber Security Awareness Training Learn Ethical Hacking From A-Z: Beginner To Expert Easy to Advanced Data Structures R Programming for Data Science GDPR UK Training Career Development Plan Fundamentals CV Writing and Job Searching Learn to Level Up Your Leadership Networking Skills for Personal Success Ace Your Presentations: Public Speaking Masterclass Learning Outcome: By completing the course, you will: Gain comprehensive insights into multiple fields. 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Embrace the future of learning with the Python, Data Science, Machine Learning, Data Mining & Cyber Security , a rich anthology of 15 diverse courses. Each course in the Python & Data Science bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. This Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle offers you the flexibility and convenience to learn at your own pace. Make the Python & Data Science package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Requirements Without any formal requirements, you can delightfully enrol this Python, Data Science, Machine Learning, Data Mining & Cyber Security course. Career path Unleash your potential with the Python, Data Science, Machine Learning, Data Mining & Cyber Security bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Python & Data Science bundle package. 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Make the IT Security Specialist package your trusted companion in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The IT Security Specialist bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Requirements You are cordially invited to enroll in this IT Security Specialist bundle; please note that there are no formal prerequisites or qualifications required. We've designed this curriculum to be accessible to all, irrespective of prior experience or educational background. Career path Unleash your potential with the IT Security Specialist bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the IT Security Specialistbundle package. Certificates CPD Quality Standard Certificate Digital certificate - Included 30 CPD Quality Standard Certificates - Free
Duration 1 Days 6 CPD hours This course is intended for This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals 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 Google Cloud Platform Big Data and Machine Learning Fundamentals 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.
Are you ready to embark on an enlightening journey of wisdom with the Big Data bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Big Data : Data Science, Data Analytics & Data Visualisation. Delve into eight immersive CPD Accredited courses, each a standalone course: Big Data Analytics with PySpark Power BI and MongoDB Big Data Analytics with PySpark Tableau Desktop and MongoDB Building Big Data Pipelines with PySpark MongoDB and Bokeh Develop Big Data Pipelines with R & Sparklyr & Tableau Develop Big Data Pipelines with R, Sparklyr & Power BI Basic Data Analysis SQL for Data Science, Data Analytics and Data Visualization Complete Python Machine Learning & Data Science Fundamentals Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Big Data : Data Science, Data Analytics & Data Visualisation bundle illuminate your path to wisdom. The Big Data : Data Science, Data Analytics & Data Visualisation bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the Big Data : Data Science, Data Analytics & Data Visualisation package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Big Data bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the Big Data : Data Science, Data Analytics & Data Visualisation community today and let your voyage of discovery begin! Learning Outcomes: Attain a holistic understanding in the designated areas of study with the Big Data bundle. Establish robust bases across each course nestled within the Big Data bundle. Decipher intricate concepts through the articulate content of the Big Data bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Big Data bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The Big Data bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Big Data bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Big Data bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Big Data bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Big Data journey and let knowledge guide you towards a brighter future. CPD 85 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Career path Armed with the Big Data bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it's academic research, consultancy, or programme management, the Big Data bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99
Microsoft Access is a database management system that has lots of features and functions to offer. To create mailing labels, work with SQL and publish a Web database in Microsoft Access, you need to learn at an advanced level. Through this course, you will learn the advanced skills, knowledge, and information about Microsoft Access 2010. You can then create and use the advanced forms and tasks to do even more in Access.In this course you will learn the necessary skills, knowledge and information of Microsoft Access 2010. Course Highlights Microsoft Access 2010 Advanced Level Accredited is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Microsoft Access 2010 Advanced Level Accredited into 13 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 11 hours, 40 minutes hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Microsoft Access 2010 Advanced Level Accredited 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? Microsoft Access 2010 Advanced Level Accredited 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 Microsoft Access 2010 Advanced Level Accredited 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. Module One - Getting Started 00:30:00 Module Two - Advanced Table Tasks 01:00:00 Module Three - Advanced Form Tasks 01:00:00 Module Four - Advanced Reporting Tasks 01:00:00 Module Five - Understanding Relationships 01:00:00 Module Six - Advanced Query Tasks 01:00:00 Module Seven - Working with SQL 01:00:00 Module Eight - Linking Data 01:00:00 Module Nine - Importing Data 01:00:00 Module Ten - Exporting Data 01:00:00 Module Eleven - Advanced Database Tools 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities Activities - Microsoft Access 2010 Advanced Level Accredited 00:00:00 Mock Exam Mock Exam-Microsoft Access 2010 Advanced Level Accredited 00:20:00 Final Exam Final Exam-Microsoft Access 2010 Advanced Level Accredited 00:20:00
Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.
Overview This comprehensive course on Ethical Hacking with Kali Linux will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Ethical Hacking with Kali Linux comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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 Ethical Hacking with Kali Linux. It is available to all students, of all academic backgrounds. Requirements Our Ethical Hacking with Kali Linux 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 16 sections • 150 lectures • 05:54:00 total length •Introduction to the course: 00:05:00 •Virtual box installation: 00:16:00 •Kali linux installation: 00:14:00 •Enabling full screen: 00:18:00 •Basic commands part 1: 00:10:00 •Basic commands part 2: 00:21:00 •Basic commands part 3: 00:13:00 •Changing ip address and wireless adapter setup: 00:05:00 •Creating a bootable Kali USB drive: 00:05:00 •Essential networking terms: 00:10:00 •Essential hacking terms: 00:18:00 •Additional kali tools to install: 00:09:00 •Changing our MAC address with mac changer: 00:06:00 •Google hacking: 00:13:00 •Nikto basics: 00:11:00 •Whois tools: 00:07:00 •Email harvesting: 00:06:00 •Shodan: 00:10:00 •Zone transfer with Dig: 00:08:00 •Installing Metasploitable: 00:07:00 •Nmap part 1: 00:16:00 •Nmap part 2: 00:12:00 •Nmap part 3: 00:12:00 •Zen map: 00:08:00 •TCP scans: 00:16:00 •Nmap by passing defenses: 00:17:00 •Nmap scripts part 1: 00:09:00 •Nmap scripts part 2: 00:14:00 •Installing OWASP: 00:08:00 •HTTP request: 00:10:00 •HTTP response: 00:10:00 •Burpsuite configuration: 00:13:00 •Editing packets in Burpsuite: 00:12:00 •Whatweb and Dirb: 00:10:00 •Password recovery attack: 00:16:00 •Burpsuite login bruteforce: 00:11:00 •Hydra login bruteforce: 00:09:00 •Session fixation: 00:14:00 •Injection attacks: 00:06:00 •Simple command injection: 00:11:00 •Exploiting command injection vulnerability: 00:08:00 •Finding blind command injection: 00:14:00 •SQL basics: 00:10:00 •Manual SQL injection part 1: 00:13:00 •Manual SQL injection part 2: 00:21:00 •SQL map basics: 00:17:00 •XML injection: 00:16:00 •Installing XCAT and preventing injection attacks: 00:06:00 •Reflected XSS: 00:11:00 •Stored XSS: 00:13:00 •Changing HTML code with XSS: 00:07:00 •XSSer and XSS sniper: 00:14:00 •Wireless attacking theory: 00:11:00 •Enabling monitor mode: 00:05:00 •Capturing handshake with airodump: 00:15:00 •Rockyou.txt: 00:14:00 •Cracking with aircrack: 00:16:00 •Cracking with hashcat: 00:15:00 •Creating password lists with crunch: 00:18:00 •Creating password lists with cup: 00:07:00 •Rainbow tables part 1: 00:17:00 •Rainbow tables part 2: 00:06:00 •Installing fluxion: 00:06:00 •Finding and cracking hidden networks: 00:08:00 •Preventing wireless attacks: 00:08:00 •ARP protocol basics: 00:10:00 •Man in the middle attack theory: 00:07:00 •Installing MITMf: 00:07:00 •Manual ARP spoofing: 00:13:00 •Problems while installing MITMf: 00:06:00 •HTTP traffic sniffing: 00:08:00 •DNS spoofing and HTTPS password sniffing: 00:24:00 •Hooking browser with BEEF: 00:16:00 •Screenshotting targets browser: 00:11:00 •Cloning any webpage: 00:09:00 •Ettercap basics: 00:07:00 •MFS console environment: 00:16:00 •Metasploit modules explained: 00:12:00 •Bruteforcing SSH with Metasploit: 00:15:00 •Attacking tomcat with metasploit: 00:09:00 •Getting meterpreter with command injection: 00:25:00 •PHP code injection: 00:06:00 •Metasploitable exploits: 00:07:00 •Wine installation: 00:12:00 •Creating windows payloads with Msfvenom: 00:10:00 •Encoders and Hex editors: 00:19:00 •Windows 10 meterpreter shell: 00:12:00 •Meterpreter environment: 00:11:00 •Windows 10 privilege escalation: 00:11:00 •Preventing privilege escalation: 00:06:00 •Post exploitation modules: 00:14:00 •Getting Meterpreter over Internet with port forwarding: 00:11:00 •Eternalblue exploit: 00:20:00 •Persistence module: 00:13:00 •Hacking over the internet with Ngrok: 00:10:00 •Android device hacking with venom: 00:10:00 •The real hacking begins now!: 00:02:00 •Variables: 00:14:00 •Raw input: 00:11:00 •If else statements: 00:10:00 •For loops: 00:07:00 •While loops: 00:08:00 •Python lists: 00:08:00 •Functions: 00:15:00 •Classes: 00:10:00 •Importing libraries: 00:07:00 •Files in python: 00:12:00 •Try and except the rule: 00:05:00 •Theory behind reverse shells: 00:07:00 •Simple server code: 00:13:00 •Connection with reverse shell: 00:07:00 •Sending and receiving messages: 00:11:00 •Sending messages with while true loop: 00:08:00 •Executing commands on target system: 00:10:00 •Fixing backdoor bugs and adding functions: 00:20:00 •First test using our backdoor: 00:18:00 •Trying to connect every 20 seconds: 00:12:00 •Creating persistence part 1: 00:06:00 •Creating persistence part 2: 00:17:00 •Changing directory: 00:12:00 •Uploading and downloading files: 00:22:00 •Downloading files from the internet: 00:23:00 •Starting programs using our backdoor: 00:07:00 •Capturing screenshots on the target PC: 00:19:00 •Embedding backdoor in an image part 1: 00:13:00 •Embedding backdoor in an image part 2: 00:09:00 •Checking for administrator privileges: 00:12:00 •Adding help option: 00:09:00 •Importing Pynput: 00:10:00 •Simple keylogger: 00:10:00 •Adding report function: 00:11:00 •Writing key strokes to a file: 00:14:00 •Adding the keylogger to our reverse shell part 1: 00:23:00 •Adding the keylogger to our reverse shell part 2: 00:08:00 •Final project test: 00:14:00 •Printing banner: 00:11:00 •Adding available options: 00:11:00 •Starting threads for bruteforce: 00:08:00 •Writing function to run the attack: 00:11:00 •Bruteforcing router login: 00:10:00 •Bypassing antivirus with your future programs: 00:14:00 •Sending malware with spoofed email: 00:15:00 •What will you learn in this section?: 00:03:00 •Why is ethical hacking a valuable skill?: 00:23:00 •What is the best ethical hacking certification?: 00:17:00 •Tips for getting your first job as an ethical hacker: 00:18:00 •How I started my career as an ethical hacker: 00:14:00 •How to price your work: 00:11:00 •Bonuses. Enjoy the Benefits: 01:05:00 •Assignment - Ethical Hacking with Kali Linux: 00:00:00