Learn AI prompt engineering, database managment, build a website from scratch and
website content writing - all in one course with zero experience.
> Learn how to create a complete website and access backend database from scratch using only AI prompts. Without using any website maker software.
> Learn how to write and use prompts to create, edit web page contents, SEO.
> Learn how to setup and configure software development environment in your local computer.
> Learn how to write prompt to create SQL codes to retrieve database content and basic database system managment skills. Learn how to upload data.
After completing the course - you will gain :
> Practical coding skill without any previous coding experience.
> Practical working knowledge about how to setup and manage database.
> Practical knowledge to build a complete website from scratch quickly for any project.
> Practical knowledge on how to write and edit website content using AI prompt.
> Practical knowledge on how to access and use AI services.
Project website is built in small stages and each steps is explained in details with easy to follow instruction. Course is packed with complete software development knowkedge, tips and instruction. No prerequisite course is required. This course is for anyone who is interested to learn new technology.
Welcome to 'Hands-On AI 2024: Transform Your Vision into Reality', a comprehensive and interactive course designed for those eager to dive into the world of Artificial Intelligence and Machine Learning. This course is not just about learning; it's about experiencing and applying AI and ML in real-world scenarios.
Starting with the fundamentals, you'll build a strong foundation in AI and ML, understanding key concepts and their evolution over time. Each section of the course is meticulously crafted to guide you through different aspects of AI, from basic principles to advanced technologies like Edge AI, Quantum Machine Learning, and beyond.
In 'Hands-On AI 2024', you will:
Discover the Core Principles: Learn the basics of AI and ML, understand different learning types like supervised, unsupervised, and reinforcement learning, and how they're applied in various industries.
Explore Cutting-Edge Technologies: Dive into emerging fields such as Edge AI and Quantum Machine Learning, understanding their potential and limitations.
Practical Application and Projects: Engage in hands-on projects to apply your learning. Build AI applications with TensorFlow Lite, develop chatbots using OpenAI GPT-3, and create solutions with computer vision techniques.
Ethical Considerations and Real-World Impact: Address the ethical aspects of AI and explore how AI is shaping industries like healthcare, marketing, and automation.
Capstone Projects and Career Preparation: Work on comprehensive capstone projects that solve real-world problems, and prepare for a successful career in AI with guidance on portfolio building and networking.
Ongoing Support and Resources: Benefit from continuous learning resources, a supportive community, and expert insights.
This course is perfect for beginners and intermediate learners who are passionate about technology and eager to build a strong skill set in AI and ML. Whether you're aiming for a career in AI or looking to implement AI solutions in your field, 'AI & ML Journey 2024' will equip you with the knowledge and practical experience you need to succeed.
Join us on this transformative journey and be a part of the future of AI and ML!
Welcome to 'Hands-On AI 2024: Transform Your Vision into Reality', a comprehensive and interactive course designed for those eager to dive into the world of Artificial Intelligence and Machine Learning. This course is not just about learning; it's about experiencing and applying AI and ML in real-world scenarios.
Starting with the fundamentals, you'll build a strong foundation in AI and ML, understanding key concepts and their evolution over time. Each section of the course is meticulously crafted to guide you through different aspects of AI, from basic principles to advanced technologies like Edge AI, Quantum Machine Learning, and beyond.
In 'Hands-On AI 2024', you will:
Discover the Core Principles: Learn the basics of AI and ML, understand different learning types like supervised, unsupervised, and reinforcement learning, and how they're applied in various industries.
Explore Cutting-Edge Technologies: Dive into emerging fields such as Edge AI and Quantum Machine Learning, understanding their potential and limitations.
Practical Application and Projects: Engage in hands-on projects to apply your learning. Build AI applications with TensorFlow Lite, develop chatbots using OpenAI GPT-3, and create solutions with computer vision techniques.
Ethical Considerations and Real-World Impact: Address the ethical aspects of AI and explore how AI is shaping industries like healthcare, marketing, and automation.
Capstone Projects and Career Preparation: Work on comprehensive capstone projects that solve real-world problems, and prepare for a successful career in AI with guidance on portfolio building and networking.
Ongoing Support and Resources: Benefit from continuous learning resources, a supportive community, and expert insights.
This course is perfect for beginners and intermediate learners who are passionate about technology and eager to build a strong skill set in AI and ML. Whether you're aiming for a career in AI or looking to implement AI solutions in your field, 'AI & ML Journey 2024' will equip you with the knowledge and practical experience you need to succeed.
Join us on this transformative journey and be a part of the future of AI and ML!
***UPDATED ON JANUARY 2024***
Based on the official distribution provided by Microsoft as of November 3rd 2023
Are you preparing for the AI 900- Microsoft Azure AI Fundamentals certification exam? Do you want to evaluate your knowledge and identify areas for improvement before taking the exam? If so, these are all the practice tests you need to sail through the AI-900 exam.
Our AI-900 Microsoft Azure AI Fundamentals Practice Tests course is designed to help you assess your readiness for the exam and gain the confidence you need to pass it.
**Our Practice Tests cover areas from the New Module Generative AI workloads on Azure **
With 6 full-length practice tests, each consisting of about 41 multiple-choice questions and timed to 45 minutes to you give the real exam experience, you will have ample opportunity to test your knowledge of Azure fundamentals, including cloud concepts, Azure services, security, privacy, compliance, and pricing.
These updated practice tests will test candidates for this exam based on the official distribution provided by Microsoft as of November 3rd 2023
Describe Artificial Intelligence workloads and considerations (15–20%)
Describe fundamental principles of machine learning on Azure (20–25%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Describe features of generative AI workloads on Azure (15–20%
Key Features at Glance:
- More than 250+ Exam like questions to practice
- 6 Exam like Timed Practice tests containing about 41 Questions
- 100% accurate answers
- Each question has detailed explanation with references
- Our extensive question bank includes carefully curated questions that closely resemble the format and content of the actual exam.
- Timed mode: Test your knowledge by practicing under timed conditions, simulating the pressure of the real exam.
- Community forum: Engage with other learners, ask questions, and share insights in our dedicated community forum.
- Instructor support. We promise to reply to your query within 24 hours
- Lifetime access: Get lifetime access to the practice tests, so you can review and practice whenever you want
- Mobile-friendly: Access the course and practice tests on your mobile device anytime, anywhere.
- Money Back Guarantee
***UPDATED ON JANUARY 2024***
Based on the official distribution provided by Microsoft as of November 3rd 2023
Are you preparing for the AI 900- Microsoft Azure AI Fundamentals certification exam? Do you want to evaluate your knowledge and identify areas for improvement before taking the exam? If so, these are all the practice tests you need to sail through the AI-900 exam.
Our AI-900 Microsoft Azure AI Fundamentals Practice Tests course is designed to help you assess your readiness for the exam and gain the confidence you need to pass it.
**Our Practice Tests cover areas from the New Module Generative AI workloads on Azure **
With 6 full-length practice tests, each consisting of about 41 multiple-choice questions and timed to 45 minutes to you give the real exam experience, you will have ample opportunity to test your knowledge of Azure fundamentals, including cloud concepts, Azure services, security, privacy, compliance, and pricing.
These updated practice tests will test candidates for this exam based on the official distribution provided by Microsoft as of November 3rd 2023
Describe Artificial Intelligence workloads and considerations (15–20%)
Describe fundamental principles of machine learning on Azure (20–25%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Describe features of generative AI workloads on Azure (15–20%
Key Features at Glance:
- More than 250+ Exam like questions to practice
- 6 Exam like Timed Practice tests containing about 41 Questions
- 100% accurate answers
- Each question has detailed explanation with references
- Our extensive question bank includes carefully curated questions that closely resemble the format and content of the actual exam.
- Timed mode: Test your knowledge by practicing under timed conditions, simulating the pressure of the real exam.
- Community forum: Engage with other learners, ask questions, and share insights in our dedicated community forum.
- Instructor support. We promise to reply to your query within 24 hours
- Lifetime access: Get lifetime access to the practice tests, so you can review and practice whenever you want
- Mobile-friendly: Access the course and practice tests on your mobile device anytime, anywhere.
- Money Back Guarantee
Whether you are an aspiring AI enthusiast eager to delve into the realm of Cyber Security, a student aiming to fortify your understanding of securing digital landscapes, or a seasoned programmer who is looking to implement Python and Artificial Intelligence into Cyber Security Tools, this course is tailored for you!
Our approach is hands-on and practical, designed to engage you in the dynamic fusion of Artificial Intelligence and Cyber Security. We believe in learning by doing, guiding you through real-world techniques and methods utilised by experts in the field. At the start of this course, we will dive right in by showing you how to use ChatGPT for Cyber Security. You will learn practical ways to make the most of ChatGPT, from understand its basics to using it for data analysis and other advanced features. After that we will dive into topics like:
1. ChatGPT For Cyber Security/Ethical Hacking - In this section, we delve into the dynamic world of ChatGPT for Cyber Security and Ethical Hacking, exploring key topics that range from addressing mistakes and inaccuracies in ChatGPT to understanding the intricacies of prompt engineering, including context prompting and output formatting. Through hands-on exercises, participants will tackle Few-Shot prompting and Chain of thought prompting, building a solid foundation in applying ChatGPT effectively. Additionally we'll navigate through advanced functionalities like Data Analysis, DALL E integration, and plugin utilisation, providing practical insights into preventing data leakage and exploring alternatives to ChatGPT.
Mistakes and Inaccuracies in ChatGPT
Introduction to prompt engineering
Few-shot prompting
Chain of thought prompting
Building Custom Instructions
Summarising Data
Advanced ChatGPT functionality (Data Analysis, Dalle, Plugins)
Alternatives to ChatGPT (Bard, Claude, Bing Chat)
How Companies leak their data to ChatGPT
2. New Age Of Social Engineering - In this section we unravel the concept of social engineering, delving into its nuances and equipping participants with strategies to prevent potential threats. The module further explores Implementing Artificial Intelligence to explore new social engineering techniques which include voice cloning and creation of deepfakes.
What is social engineering ?
Voice Cloning with ElevenLabs
AI Voice Generating with Resemble
Creating deepfakes with D-ID
Using ChatGPT to write Emails in my style
How to recognise these type of scams
3. Where Is AI Used In Cyber Security Today - In this section we explore the forefront of cybersecurity advancements, delving into the integration of AI across critical domains. Students will gain insights into how traditional Cybersecurity tools like Firewalls, SIEM systems, IDS/IPS, Email Filtering and Identity and Access Management work when Artificial Intelligence is applied to them.
AI Based SIEM Systems
Firewalls With AI
Email Filtering With AI
AI In IAM
IDS/IPS with AI
4. Building an Email Filtering System With AI - In this section students encounter a hands-on journey, utilising Python programming to implement Artificial Intelligence algorithms for crafting effective email filtering system. This module not only introduces the fundamentals of email filtering and security but also provides a comprehensive understanding of spam filters, guiding learners through dataset analysis, algorithm implementation and practical comparisons with established systems like ChatGPT.
Introduction To Email Security and Filtering
What are Spam filters and how do they work ?
Dataset analysis
Training and testing our AI system
Implementing Spam detection using ChatGPT API
Comparing our system vs ChatGPT system
5. Building a Phishing Detection System With AI - In this section, students will gain essential knowledge about phishing and acquiring skills to recognise phishing attacks. Through practical implementation, this module guides learners in utilising decision trees with Python programming, enabling them to construct a robust phishing detection system.
Introduction To Phishing
How to Recognise and Prevent Phishing Attacks
Dataset Analysis
Splitting The Data
Introduction To Decision Trees
Training Random Forest Algorithm
Precision and Recall
6. AI In Network Security - In this section, students get into the foundations of network security, exploring traditional measures alongside practical implementations using Python. With the help of Logistic Regression, learners gain hands-on experience in building a system for network monitoring.
Introduction To Network Security
Dataset Analysis
Data Pre-Processing
Data Preparation
Logistic Regression
Training Logistic Regression For Network Monitoring
Hyperparameter Optimisation
7. AI For Malware Detection - In this section students get on a comprehensive exploration of malware types and prevention strategies before delving into the creation of a sophisticated malware detection system. This module guides learners through the training of multiple algorithms learned throughout the course, empowering them to evaluate and implement the most accurate solution for malware detection system.
What Is Malware & Different Types of Malware
Traditional Systems for Malware Detection
Loading Malware Dataset
Malware Dataset Analysis and Pre-Processing
Training Machine Learning Algorithms
Saving The Best Malware Detection Model
8. AI Security Risks - In this section we explore critical Artificial Intelligence security risks such as data poisoning, data bias, model vulnerabilities and ethical concerns. This module dives into deep understanding of potential risks and ethical considerations of Artificial Intelligence Implementation.
Data Poisoning
Data Bias
Model Vulnerabilities
Ethical Concerns
9. Appendix A: Introduction To Cyber Security - This is our first Appendix section which is a cybersecurity foundational journey, tracing the evolution of cybersecurity and gaining insights into essential tools, techniques, certificates and best practices. This module serves as a compass, guiding learners through the core principles of cybersecurity.
Evolution Of Cyber Security
Categories of Cyber Attacks
Security Policies and Procedures
Cyber Security Tools and Technologies
Understanding Cyber Security Certifications
Cyber Security Best Practices
10. Appendix B: Introduction to Artificial Intelligence - This is our second Appendix section which is Artificial Intelligence fundamentals, covering brief history, diverse categories such as Narrow, General and Super intelligence and the distinctions between AI, machine learning and deep learning.
Brief History of AI
Types of AI: Narrow, General and Superintelligence
AI vs ML vs Deep Learning
Fields influenced by AI
Machine Learning Algorithms
AI Ethics and Governance
We assure you that this bootcamp on Artificial Intelligence in Cyber Security is designed to be the most comprehensive online course for mastering integration of AI in cybersecurity practices!
Whether you are an aspiring AI enthusiast eager to delve into the realm of Cyber Security, a student aiming to fortify your understanding of securing digital landscapes, or a seasoned programmer who is looking to implement Python and Artificial Intelligence into Cyber Security Tools, this course is tailored for you!
Our approach is hands-on and practical, designed to engage you in the dynamic fusion of Artificial Intelligence and Cyber Security. We believe in learning by doing, guiding you through real-world techniques and methods utilised by experts in the field. At the start of this course, we will dive right in by showing you how to use ChatGPT for Cyber Security. You will learn practical ways to make the most of ChatGPT, from understand its basics to using it for data analysis and other advanced features. After that we will dive into topics like:
1. ChatGPT For Cyber Security/Ethical Hacking - In this section, we delve into the dynamic world of ChatGPT for Cyber Security and Ethical Hacking, exploring key topics that range from addressing mistakes and inaccuracies in ChatGPT to understanding the intricacies of prompt engineering, including context prompting and output formatting. Through hands-on exercises, participants will tackle Few-Shot prompting and Chain of thought prompting, building a solid foundation in applying ChatGPT effectively. Additionally we'll navigate through advanced functionalities like Data Analysis, DALL E integration, and plugin utilisation, providing practical insights into preventing data leakage and exploring alternatives to ChatGPT.
Mistakes and Inaccuracies in ChatGPT
Introduction to prompt engineering
Few-shot prompting
Chain of thought prompting
Building Custom Instructions
Summarising Data
Advanced ChatGPT functionality (Data Analysis, Dalle, Plugins)
Alternatives to ChatGPT (Bard, Claude, Bing Chat)
How Companies leak their data to ChatGPT
2. New Age Of Social Engineering - In this section we unravel the concept of social engineering, delving into its nuances and equipping participants with strategies to prevent potential threats. The module further explores Implementing Artificial Intelligence to explore new social engineering techniques which include voice cloning and creation of deepfakes.
What is social engineering ?
Voice Cloning with ElevenLabs
AI Voice Generating with Resemble
Creating deepfakes with D-ID
Using ChatGPT to write Emails in my style
How to recognise these type of scams
3. Where Is AI Used In Cyber Security Today - In this section we explore the forefront of cybersecurity advancements, delving into the integration of AI across critical domains. Students will gain insights into how traditional Cybersecurity tools like Firewalls, SIEM systems, IDS/IPS, Email Filtering and Identity and Access Management work when Artificial Intelligence is applied to them.
AI Based SIEM Systems
Firewalls With AI
Email Filtering With AI
AI In IAM
IDS/IPS with AI
4. Building an Email Filtering System With AI - In this section students encounter a hands-on journey, utilising Python programming to implement Artificial Intelligence algorithms for crafting effective email filtering system. This module not only introduces the fundamentals of email filtering and security but also provides a comprehensive understanding of spam filters, guiding learners through dataset analysis, algorithm implementation and practical comparisons with established systems like ChatGPT.
Introduction To Email Security and Filtering
What are Spam filters and how do they work ?
Dataset analysis
Training and testing our AI system
Implementing Spam detection using ChatGPT API
Comparing our system vs ChatGPT system
5. Building a Phishing Detection System With AI - In this section, students will gain essential knowledge about phishing and acquiring skills to recognise phishing attacks. Through practical implementation, this module guides learners in utilising decision trees with Python programming, enabling them to construct a robust phishing detection system.
Introduction To Phishing
How to Recognise and Prevent Phishing Attacks
Dataset Analysis
Splitting The Data
Introduction To Decision Trees
Training Random Forest Algorithm
Precision and Recall
6. AI In Network Security - In this section, students get into the foundations of network security, exploring traditional measures alongside practical implementations using Python. With the help of Logistic Regression, learners gain hands-on experience in building a system for network monitoring.
Introduction To Network Security
Dataset Analysis
Data Pre-Processing
Data Preparation
Logistic Regression
Training Logistic Regression For Network Monitoring
Hyperparameter Optimisation
7. AI For Malware Detection - In this section students get on a comprehensive exploration of malware types and prevention strategies before delving into the creation of a sophisticated malware detection system. This module guides learners through the training of multiple algorithms learned throughout the course, empowering them to evaluate and implement the most accurate solution for malware detection system.
What Is Malware & Different Types of Malware
Traditional Systems for Malware Detection
Loading Malware Dataset
Malware Dataset Analysis and Pre-Processing
Training Machine Learning Algorithms
Saving The Best Malware Detection Model
8. AI Security Risks - In this section we explore critical Artificial Intelligence security risks such as data poisoning, data bias, model vulnerabilities and ethical concerns. This module dives into deep understanding of potential risks and ethical considerations of Artificial Intelligence Implementation.
Data Poisoning
Data Bias
Model Vulnerabilities
Ethical Concerns
9. Appendix A: Introduction To Cyber Security - This is our first Appendix section which is a cybersecurity foundational journey, tracing the evolution of cybersecurity and gaining insights into essential tools, techniques, certificates and best practices. This module serves as a compass, guiding learners through the core principles of cybersecurity.
Evolution Of Cyber Security
Categories of Cyber Attacks
Security Policies and Procedures
Cyber Security Tools and Technologies
Understanding Cyber Security Certifications
Cyber Security Best Practices
10. Appendix B: Introduction to Artificial Intelligence - This is our second Appendix section which is Artificial Intelligence fundamentals, covering brief history, diverse categories such as Narrow, General and Super intelligence and the distinctions between AI, machine learning and deep learning.
Brief History of AI
Types of AI: Narrow, General and Superintelligence
AI vs ML vs Deep Learning
Fields influenced by AI
Machine Learning Algorithms
AI Ethics and Governance
We assure you that this bootcamp on Artificial Intelligence in Cyber Security is designed to be the most comprehensive online course for mastering integration of AI in cybersecurity practices!
この講座では動画生成AI「Pika」と音楽生成AI「SunoAI」の機能や使い方を学び、最後に実践として「海賊」をテーマにした簡単な映像作品を制作していきます。初心者の方でも気軽に受講していただける内容になっています。ぜひこの機会に生成AIを使ってみましょう！
この講座では動画生成AI「Pika」と音楽生成AI「SunoAI」の機能や使い方を学び、最後に実践として「海賊」をテーマにした簡単な映像作品を制作していきます。初心者の方でも気軽に受講していただける内容になっています。ぜひこの機会に生成AIを使ってみましょう！
Looking for an perfect job interview preparation? Searching in the web brings you only partial information? Congrats! You found what you are looking for!
Do you have a job interview related to AI? If you can answer this question with a yes, you are in the absolute perfect place.
This course provides you 3 different kinds of job interview preparation tests. As we have deep insides in different industries, we know exactly what matters contentwise.
We made some surveys to find out what fields are connected to each other and on top of that we found out which topics are important.
It is clear to everyone, that job interviews differ based on your experience. If you are a Senior AI Engineer you know exactly what matters. The practice tests in this course brings you up to date in the different topics covered in this course. Our focus is on the knowledge. The tests inlcudes questions from beginner level up to advanced level. We boost your know-how, not your behaviour in this course, as every job interview will be helt in a different way. But the content will be almost the same per knowledge area.
As you now know what you can expect, lets go a bit deeper in the content of this course. The following big topics will challenge you:
Job Interview questions
Multiple Choice questions
There are 4 practice tests:
Test 1: - 50 Questions First you will get asked General Interview questions which come up very often. The questions vary in difficulty and contentwise.
Test 2 - 100 Questions: The second part consists of Multiple Choice for general Job Interview questions which are designed to boost you knowledge even more.
Test 3 and 4 : - 100 Questions each- This test is about AI. You will get asked all kinds of questions related to different topics also about ChatGPT. This test contains questions and answers like the first test.
The amount of questions are the start of this course, we will continously improve and enhance the practice tests.
After you finished this course and its practice tests, you will be sure in knowledge and this will give you a boost in confidence. The most important step to land a job is being prepared for your interviews. By doing some preparation you'll feel more in control, and will appear cool, calm and confident. You will be able to fully concentrate on your behaviour – be aware to talk slow and clear, keep an eye on your body language and your facial expressions. With our course as preparation – you can trust in you , as we trust in you of course!
To pass a test you need a passing score of 75% for the multiple choice tests and 100% for the job interview test. In the job interview test you have to select all ginven answers, the answers represent good answers if you get asked the given question.
It is completely up to you which tests you go for as preparation for your job interview. The tests can be done independently from each other, which is really nice!
We wish you a lot of gains in your knowledge and very much success in your next job interview!
Please be aware that we are working on this course on an ongoing basis. We always want to deliver highest quality to you and we try our best to do so. If you find any issue let us know and we will correct it immediatelly :)