Here are 50 JavaScript Interview Questions and Answers for 2025:
What is JavaScript? JavaScript is a lightweight, interpreted programming language primarily used to create interactive and dynamic web pages. It's part of the core technologies of the web, along with HTML and CSS.
What are the data types in JavaScript? JavaScript has the following data types:
Primitive: String, Number, Boolean, Null, Undefined, Symbol, BigInt
Non-primitive: Object, Array, Function
What is the difference between null and undefined?
null is an assigned value representing no value.
undefined means a variable has been declared but not assigned a value.
Explain the concept of hoisting in JavaScript. Hoisting is JavaScript's default behavior of moving declarations to the top of the scope before code execution. var declarations are hoisted and initialized as undefined; let and const are hoisted but not initialized.
What is a closure in JavaScript? A closure is a function that retains access to its lexical scope, even when the function is executed outside of that scope.
What is the difference between “==” and “===” operators in JavaScript?
== checks for value equality (performs type coercion)
=== checks for value and type equality (strict equality)
Explain the concept of prototypal inheritance in JavaScript. Objects in JavaScript can inherit properties from other objects using the prototype chain. Every object has an internal link to another object called its prototype.
What are the different ways to define a function in JavaScript?
Function declaration: function greet() {}
Function expression: const greet = function() {}
Arrow function: const greet = () => {}
How does event delegation work in JavaScript? Event delegation uses event bubbling by attaching a single event listener to a parent element that handles events triggered by its children.
What is the purpose of the “this” keyword in JavaScript? this refers to the object that is executing the current function. Its value depends on how the function is called.
What are the different ways to create objects in JavaScript?
Object literals: const obj = {}
Constructor functions
Object.create()
Classes
Explain the concept of callback functions in JavaScript. A callback is a function passed as an argument to another function and executed after some operation is completed.
What is event bubbling and event capturing in JavaScript?
Bubbling: event goes from target to root.
Capturing: event goes from root to target. JavaScript uses bubbling by default.
What is the purpose of the “bind” method in JavaScript? The bind() method creates a new function with a specified this context and optional arguments.
Explain the concept of AJAX in JavaScript. AJAX (Asynchronous JavaScript and XML) allows web pages to be updated asynchronously by exchanging data with a server behind the scenes.
What is the “typeof” operator used for? The typeof operator returns a string indicating the type of a given operand.
How does JavaScript handle errors and exceptions? Using try...catch...finally blocks. Errors can also be thrown manually using throw.
Explain the concept of event-driven programming in JavaScript. Event-driven programming is a paradigm where the flow is determined by events such as user actions, sensor outputs, or messages.
What is the purpose of the “async” and “await” keywords in JavaScript? They simplify working with promises, allowing asynchronous code to be written like synchronous code.
What is the difference between a deep copy and a shallow copy in JavaScript?
Shallow copy copies top-level properties.
Deep copy duplicates all nested levels.
How does JavaScript handle memory management? JavaScript uses garbage collection to manage memory. It frees memory that is no longer referenced.
Explain the concept of event loop in JavaScript. The event loop handles asynchronous operations. It takes tasks from the queue and pushes them to the call stack when it is empty.
What is JavaScript? JavaScript is a lightweight, interpreted programming language primarily used to create interactive and dynamic web pages. It's part of the core technologies of the web, along with HTML and CSS.
What are the data types in JavaScript? JavaScript has the following data types:
Primitive: String, Number, Boolean, Null, Undefined, Symbol, BigInt
Non-primitive: Object, Array, Function
What is the difference between null and undefined?
null is an assigned value representing no value.
undefined means a variable has been declared but not assigned a value.
Explain the concept of hoisting in JavaScript. Hoisting is JavaScript's default behavior of moving declarations to the top of the scope before code execution. var declarations are hoisted and initialized as undefined; let and const are hoisted but not initialized.
What is a closure in JavaScript? A closure is a function that retains access to its lexical scope, even when the function is executed outside of that scope.
What is the difference between “==” and “===” operators in JavaScript?
== checks for value equality (performs type coercion)
=== checks for value and type equality (strict equality)
Explain the concept of prototypal inheritance in JavaScript. Objects in JavaScript can inherit properties from other objects using the prototype chain. Every object has an internal link to another object called its prototype.
What are the different ways to define a function in JavaScript?
Function declaration: function greet() {}
Function expression: const greet = function() {}
Arrow function: const greet = () => {}
How does event delegation work in JavaScript? Event delegation uses event bubbling by attaching a single event listener to a parent element that handles events triggered by its children.
What is the purpose of the “this” keyword in JavaScript? this refers to the object that is executing the current function. Its value depends on how the function is called.
What are the different ways to create objects in JavaScript?
Object literals: const obj = {}
Constructor functions
Object.create()
Classes
Explain the concept of callback functions in JavaScript. A callback is a function passed as an argument to another function and executed after some operation is completed.
What is event bubbling and event capturing in JavaScript?
Bubbling: event goes from target to root.
Capturing: event goes from root to target. JavaScript uses bubbling by default.
What is the purpose of the “bind” method in JavaScript? The bind() method creates a new function with a specified this context and optional arguments.
Explain the concept of AJAX in JavaScript. AJAX (Asynchronous JavaScript and XML) allows web pages to be updated asynchronously by exchanging data with a server behind the scenes.
What is the “typeof” operator used for? The typeof operator returns a string indicating the type of a given operand.
How does JavaScript handle errors and exceptions? Using try...catch...finally blocks. Errors can also be thrown manually using throw.
Explain the concept of event-driven programming in JavaScript. Event-driven programming is a paradigm where the flow is determined by events such as user actions, sensor outputs, or messages.
What is the purpose of the “async” and “await” keywords in JavaScript? They simplify working with promises, allowing asynchronous code to be written like synchronous code.
What is the difference between a deep copy and a shallow copy in JavaScript?
Shallow copy copies top-level properties.
Deep copy duplicates all nested levels.
How does JavaScript handle memory management? JavaScript uses garbage collection to manage memory. It frees memory that is no longer referenced.
Explain the concept of event loop in JavaScript. The event loop handles asynchronous operations. It takes tasks from the queue and pushes them to the call stack when it is empty.
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Forwarded from Python Projects & Resources
𝐄𝐚𝐫𝐧 𝐅𝐑𝐄𝐄 𝐎𝐫𝐚𝐜𝐥𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 — 𝐂𝐥𝐨𝐮𝐝, 𝐀𝐈 & 𝐃𝐚𝐭𝐚!😍
Oracle’s Race to Certification is here — your chance to earn globally recognized certifications for FREE!💥
💡 Choose from in-demand certifications in:
☁️ Cloud
🤖 AI
📊 Data
…and more!
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4lx2tin
⚡But hurry — spots are limited, and the clock is ticking!✅️
Oracle’s Race to Certification is here — your chance to earn globally recognized certifications for FREE!💥
💡 Choose from in-demand certifications in:
☁️ Cloud
🤖 AI
📊 Data
…and more!
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4lx2tin
⚡But hurry — spots are limited, and the clock is ticking!✅️
❤3
Artificial Intelligence isn't easy!
It’s the cutting-edge field that enables machines to think, learn, and act like humans.
To truly master Artificial Intelligence, focus on these key areas:
0. Understanding AI Fundamentals: Learn the basic concepts of AI, including search algorithms, knowledge representation, and decision trees.
1. Mastering Machine Learning: Since ML is a core part of AI, dive into supervised, unsupervised, and reinforcement learning techniques.
2. Exploring Deep Learning: Learn neural networks, CNNs, RNNs, and GANs to handle tasks like image recognition, NLP, and generative models.
3. Working with Natural Language Processing (NLP): Understand how machines process human language for tasks like sentiment analysis, translation, and chatbots.
4. Learning Reinforcement Learning: Study how agents learn by interacting with environments to maximize rewards (e.g., in gaming or robotics).
5. Building AI Models: Use popular frameworks like TensorFlow, PyTorch, and Keras to build, train, and evaluate your AI models.
6. Ethics and Bias in AI: Understand the ethical considerations and challenges of implementing AI responsibly, including fairness, transparency, and bias.
7. Computer Vision: Master image processing techniques, object detection, and recognition algorithms for AI-powered visual applications.
8. AI for Robotics: Learn how AI helps robots navigate, sense, and interact with the physical world.
9. Staying Updated with AI Research: AI is an ever-evolving field—stay on top of cutting-edge advancements, papers, and new algorithms.
Artificial Intelligence is a multidisciplinary field that blends computer science, mathematics, and creativity.
💡 Embrace the journey of learning and building systems that can reason, understand, and adapt.
⏳ With dedication, hands-on practice, and continuous learning, you’ll contribute to shaping the future of intelligent systems!
Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Credits: https://t.me/datasciencefun
Like if you need similar content 😄👍
Hope this helps you 😊
#ai #datascience
It’s the cutting-edge field that enables machines to think, learn, and act like humans.
To truly master Artificial Intelligence, focus on these key areas:
0. Understanding AI Fundamentals: Learn the basic concepts of AI, including search algorithms, knowledge representation, and decision trees.
1. Mastering Machine Learning: Since ML is a core part of AI, dive into supervised, unsupervised, and reinforcement learning techniques.
2. Exploring Deep Learning: Learn neural networks, CNNs, RNNs, and GANs to handle tasks like image recognition, NLP, and generative models.
3. Working with Natural Language Processing (NLP): Understand how machines process human language for tasks like sentiment analysis, translation, and chatbots.
4. Learning Reinforcement Learning: Study how agents learn by interacting with environments to maximize rewards (e.g., in gaming or robotics).
5. Building AI Models: Use popular frameworks like TensorFlow, PyTorch, and Keras to build, train, and evaluate your AI models.
6. Ethics and Bias in AI: Understand the ethical considerations and challenges of implementing AI responsibly, including fairness, transparency, and bias.
7. Computer Vision: Master image processing techniques, object detection, and recognition algorithms for AI-powered visual applications.
8. AI for Robotics: Learn how AI helps robots navigate, sense, and interact with the physical world.
9. Staying Updated with AI Research: AI is an ever-evolving field—stay on top of cutting-edge advancements, papers, and new algorithms.
Artificial Intelligence is a multidisciplinary field that blends computer science, mathematics, and creativity.
💡 Embrace the journey of learning and building systems that can reason, understand, and adapt.
⏳ With dedication, hands-on practice, and continuous learning, you’ll contribute to shaping the future of intelligent systems!
Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Credits: https://t.me/datasciencefun
Like if you need similar content 😄👍
Hope this helps you 😊
#ai #datascience
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𝟯 𝗚𝗮𝗺𝗲-𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲😍
Want to break into Data Science or Tech?
Python is the #1 skill you need — and starting is easier than you think.🧑💻✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3JemBIt
Your career upgrade starts today — no excuses!✅️
Want to break into Data Science or Tech?
Python is the #1 skill you need — and starting is easier than you think.🧑💻✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3JemBIt
Your career upgrade starts today — no excuses!✅️
❤1
Types of Machine Learning Algorithms!
💡 Supervised Learning Algorithms:
1️⃣ Linear Regression: Ideal for predicting continuous values. Use it for predicting house prices based on features like square footage and number of bedrooms.
2️⃣ Logistic Regression: Perfect for binary classification problems. Employ it for predicting whether an email is spam or not.
3️⃣ Decision Trees: Great for both classification and regression tasks. Use it for customer segmentation based on demographic features.
4️⃣ Random Forest: A robust ensemble method suitable for classification and regression tasks. Apply it for predicting customer churn in a telecom company.
5️⃣ Support Vector Machines (SVM): Effective for both classification and regression tasks, particularly when dealing with complex datasets. Use it for classifying handwritten digits in image processing.
6️⃣ K-Nearest Neighbors (KNN): Suitable for classification and regression problems, especially when dealing with small datasets. Apply it for recommending movies based on user preferences.
7️⃣ Naive Bayes: Particularly useful for text classification tasks such as spam filtering or sentiment analysis.
💡 Unsupervised Learning Algorithms:
1️⃣ K-Means Clustering: Ideal for unsupervised clustering tasks. Utilize it for segmenting customers based on purchasing behavior.
2️⃣ Principal Component Analysis (PCA): A dimensionality reduction technique useful for simplifying high-dimensional data. Apply it for visualizing complex datasets or improving model performance.
3️⃣ Gaussian Mixture Models (GMMs): Suitable for modeling complex data distributions. Utilize it for clustering data with non-linear boundaries.
💡 Both Supervised and Unsupervised Learning:
1️⃣ Recurrent Neural Networks (RNNs): Perfect for sequential data like time series or natural language processing tasks. Use it for predicting stock prices or generating text.
2️⃣ Convolutional Neural Networks (CNNs): Tailored for image classification and object detection tasks. Apply it for identifying objects in images or analyzing medical images for diagnosis
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Like if you need similar content 😄👍
Hope this helps you 😊
💡 Supervised Learning Algorithms:
1️⃣ Linear Regression: Ideal for predicting continuous values. Use it for predicting house prices based on features like square footage and number of bedrooms.
2️⃣ Logistic Regression: Perfect for binary classification problems. Employ it for predicting whether an email is spam or not.
3️⃣ Decision Trees: Great for both classification and regression tasks. Use it for customer segmentation based on demographic features.
4️⃣ Random Forest: A robust ensemble method suitable for classification and regression tasks. Apply it for predicting customer churn in a telecom company.
5️⃣ Support Vector Machines (SVM): Effective for both classification and regression tasks, particularly when dealing with complex datasets. Use it for classifying handwritten digits in image processing.
6️⃣ K-Nearest Neighbors (KNN): Suitable for classification and regression problems, especially when dealing with small datasets. Apply it for recommending movies based on user preferences.
7️⃣ Naive Bayes: Particularly useful for text classification tasks such as spam filtering or sentiment analysis.
💡 Unsupervised Learning Algorithms:
1️⃣ K-Means Clustering: Ideal for unsupervised clustering tasks. Utilize it for segmenting customers based on purchasing behavior.
2️⃣ Principal Component Analysis (PCA): A dimensionality reduction technique useful for simplifying high-dimensional data. Apply it for visualizing complex datasets or improving model performance.
3️⃣ Gaussian Mixture Models (GMMs): Suitable for modeling complex data distributions. Utilize it for clustering data with non-linear boundaries.
💡 Both Supervised and Unsupervised Learning:
1️⃣ Recurrent Neural Networks (RNNs): Perfect for sequential data like time series or natural language processing tasks. Use it for predicting stock prices or generating text.
2️⃣ Convolutional Neural Networks (CNNs): Tailored for image classification and object detection tasks. Apply it for identifying objects in images or analyzing medical images for diagnosis
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Like if you need similar content 😄👍
Hope this helps you 😊
❤1
𝟒 𝐁𝐞𝐬𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐢𝐧 𝟐𝟎𝟐𝟓 𝐭𝐨 𝐒𝐤𝐲𝐫𝐨𝐜𝐤𝐞𝐭 𝐘𝐨𝐮𝐫 𝐂𝐚𝐫𝐞𝐞𝐫😍
In today’s data-driven world, Power BI has become one of the most in-demand tools for businesses〽️📊
The best part? You don’t need to spend a fortune—there are free and affordable courses available online to get you started.💥🧑💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mDvgDj
Start learning today and position yourself for success in 2025!✅️
In today’s data-driven world, Power BI has become one of the most in-demand tools for businesses〽️📊
The best part? You don’t need to spend a fortune—there are free and affordable courses available online to get you started.💥🧑💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mDvgDj
Start learning today and position yourself for success in 2025!✅️
Being a Generalist Data Scientist won't get you hired.
Here is how you can specialize 👇
Companies have specific problems that require certain skills to solve. If you do not know which path you want to follow. Start broad first, explore your options, then specialize.
To discover what you enjoy the most, try answering different questions for each DS role:
- 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Qs:
“How should we monitor model performance in production?”
- 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 / 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭
Qs:
“How can we visualize customer segmentation to highlight key demographics?”
- 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭
Qs:
“How can we use clustering to identify new customer segments for targeted marketing?”
- 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫
Qs:
“What novel architectures can we explore to improve model robustness?”
- 𝐌𝐋𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Qs:
“How can we automate the deployment of machine learning models to ensure continuous integration and delivery?”
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
ENJOY LEARNING 👍👍
Here is how you can specialize 👇
Companies have specific problems that require certain skills to solve. If you do not know which path you want to follow. Start broad first, explore your options, then specialize.
To discover what you enjoy the most, try answering different questions for each DS role:
- 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Qs:
“How should we monitor model performance in production?”
- 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 / 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭
Qs:
“How can we visualize customer segmentation to highlight key demographics?”
- 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭
Qs:
“How can we use clustering to identify new customer segments for targeted marketing?”
- 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫
Qs:
“What novel architectures can we explore to improve model robustness?”
- 𝐌𝐋𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
Qs:
“How can we automate the deployment of machine learning models to ensure continuous integration and delivery?”
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
ENJOY LEARNING 👍👍
❤1
Forwarded from Artificial Intelligence
𝟰 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝘂𝗹𝗲𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀😍
Generative AI is no longer just a buzzword—it’s a career-maker🧑💻📌
Recruiters are actively looking for candidates with prompt engineering skills, hands-on AI experience, and the ability to use tools like GitHub Copilot and Azure OpenAI effectively.🖥
𝐋𝐢𝐧𝐤👇:-
http://pdlink.in/4fKT5pL
If you’re looking to stand out in interviews, land AI-powered roles, or future-proof your career, this is your chance
Generative AI is no longer just a buzzword—it’s a career-maker🧑💻📌
Recruiters are actively looking for candidates with prompt engineering skills, hands-on AI experience, and the ability to use tools like GitHub Copilot and Azure OpenAI effectively.🖥
𝐋𝐢𝐧𝐤👇:-
http://pdlink.in/4fKT5pL
If you’re looking to stand out in interviews, land AI-powered roles, or future-proof your career, this is your chance
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👩🏫🧑🏫 PROGRAMMING LANGUAGES YOU SHOULD LEARN TO BECOME.
⚔️[ Web Developer]
⚔️[ Game Developer]
⚔️[ Data Analysis]
⚔️[ Desktop Developer]
⚔️[ Embedded System Program]
⚔️[Mobile Apps Development]
⚔️[ Web Developer]
PHP, C#, JS, JAVA, Python, Ruby⚔️[ Game Developer]
Java, C++, Python, JS, Ruby, C, C#⚔️[ Data Analysis]
R, Matlab, Java, Python⚔️[ Desktop Developer]
Java, C#, C++, Python⚔️[ Embedded System Program]
C, Python, C++ ⚔️[Mobile Apps Development]
Kotlin, Dart, Objective-C, Java, Python, JS, Swift, C#❤1
🚀🔥 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 — 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺
Master the most in-demand AI skill in today’s job market: building autonomous AI systems.
In Ready Tensor’s free, project-first program, you’ll create three portfolio-ready projects using 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵, and vector databases — and deploy production-ready agents that employers will notice.
Includes guided lectures, videos, and code.
𝗙𝗿𝗲𝗲. 𝗦𝗲𝗹𝗳-𝗽𝗮𝗰𝗲𝗱. 𝗖𝗮𝗿𝗲𝗲𝗿-𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴.
👉 Apply now: https://go.readytensor.ai/cert-514-agentic-ai-certification
Master the most in-demand AI skill in today’s job market: building autonomous AI systems.
In Ready Tensor’s free, project-first program, you’ll create three portfolio-ready projects using 𝗟𝗮𝗻𝗴𝗖𝗵𝗮𝗶𝗻, 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵, and vector databases — and deploy production-ready agents that employers will notice.
Includes guided lectures, videos, and code.
𝗙𝗿𝗲𝗲. 𝗦𝗲𝗹𝗳-𝗽𝗮𝗰𝗲𝗱. 𝗖𝗮𝗿𝗲𝗲𝗿-𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴.
👉 Apply now: https://go.readytensor.ai/cert-514-agentic-ai-certification
www.readytensor.ai
Agentic AI Developer Certification Program by Ready Tensor
Learn to build chatbots, AI assistants, and multi-agent systems with Ready Tensor's free, self-paced, and beginner-friendly Agentic AI Developer Certification. View the full program guide and how to get certified.
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