In this video, learn how to build your own Small Language Model (SLM) from scratch using Python, PyTorch, and Hugging Face datasets. We’ll walk through every step — from data collection and preprocessing to tokenization, transformer architecture, and model training.

You’ll discover how a compact 10–15 million parameter model can still generate coherent and meaningful text, using concepts inspired by GPT models. This tutorial simplifies complex AI topics like embedding layers, attention mechanisms, loss computation, and next-token prediction — all explained clearly with working code examples.

🔹 Topics Covered:

What are Small Language Models (SLMs)?

Using the TinyStories dataset from Hugging Face

Tokenization with OpenAI’s tiktoken library

Creating .bin training files for efficient processing

Building a Transformer architecture step-by-step

Implementing GPT-like attention blocks

Training configuration and hyperparameter tuning

Generating text from your trained SLM

🎯 Perfect for AI researchers, ML engineers, and enthusiasts who want to understand how GPT-style models actually work under the hood — without requiring massive GPUs or billion-parameter setups.

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In recent years, the spotlight in AI has primarily been on large language models (LLMs) and emerging large multi-modal models (LMMs). Now, building on these tools, a new paradigm is emerging with the rise of AI agents and agentic reasoning, which are proving to be both cost-effective and powerful for building numerous new applications. As AI continues to evolve, data across all industries, particularly unstructured data such as text, images, video, and audio, is becoming more critical than ever. In this keynote session from BUILD 2024, Andrews Ng, Founder and Executive Chairman of Landing AI, explores the rise of AI, agents, and the growing role of unstructured data. He also discusses how this convergence will shape automation and application building across industries.

Andrew Ng will be a featured speaker at Snowflake Dev Day 2025. Join us on June 5 in San Francisco. Registration is free and open now: https://www.snowflake.com/en/summit/dev-day

Watch the Snowflake Summit 2024 Opening Keynote featuring Snowflake CEO Sridhar Ramaswamy and OpenAI CEO Sam Altman, moderated by Sarah Guo, founder and managing partner of Conviction here: https://youtu.be/gJf39VG87O8

Check out Andrew Ng speaking about AI agentic workflows and their potential for driving AI progress here:
👉 https://www.youtube.com/watch?v=q1XFm21I-VQ

Register to watch more BUILD on-demand here:
👉 https://www.snowflake.com/build/

Enroll in the "Introduction to Generative AI with Snowflake" course on Coursera:
👉 http://coursera.org/learn/intro-generative-ai-course-snowflake/?utm_medium=institutions&utm_source=snowflake&utm_campaign=yt-promo

❄Join our YouTube community❄ https://bit.ly/3lzfeeB

Learn more about Snowflake:
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Listen on:
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🔈 Simplecast: https://bit.ly/3rFCrgA

#Snowflake #DataCloud

Learn about Stanford's online artificial intelligence professional and graduate programs:
https://stanford.io/3CDAIOV

Stanford Online Graduate and Professional AI programs provide the foundational and advanced skills you need to accelerate your career in AI, including machine learning, reinforcement learning, neural networks, and natural language processing and understanding. Learn about the differences between the programs in this video.

#artificialintelligence #machinelearning #deeplearning #reinforcementlearning #neuralnetworks #naturallanguageprocessing

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Join us for the AI & ML Full Course 2026, a complete live tutorial hosted by edureka! designed to help you master Artificial Intelligence and Machine Learning from the ground up. This live session will guide you through key concepts such as supervised and unsupervised learning, deep learning, neural networks, natural language processing, and real-world model deployment. Whether you're a beginner looking to enter the world of AI or a professional aiming to enhance your skills, this course is structured to make complex topics easy to understand. Using hands-on projects and Python-based examples, you’ll gain the practical knowledge needed to build intelligent systems and data-driven applications. This session is ideal for students, job seekers, developers, and tech enthusiasts who want to stay ahead in the AI/ML landscape in 2025. Make sure to join live to engage with instructors in real time and earn your certificate of participation. Subscribe to our channel and turn on notifications so you don’t miss this powerful learning experience.
00:00:00 Introduction
00:01:47 What is Artificial Intelligence?
00:07:49 Types of Artificial Intelligence
00:18:56 AI vs Machine Learning vs Deep Learning
00:32:41 Artificial Intelligence with Python
02:11:47 What is Machine Learning?
02:23:29 Types of Machine Learning Models
02:30:35 Machine Learning Algorithm
02:52:29 Linear Regression Algorithm
02:59:55 Logistic Regression Algorithm
03:47:04 Linear Regression Vs Logistic Regression
03:50:35 Decision Tree Algorithm
04:36:09 Random Forest
05:01:24 KNN Algorithm
05:33:47 Naive Bayes Classifier
05:55:28 Support Vector Machine
06:20:59 K- Means Clustering Algorithm
06:44:19 Hierarchical Clustering
06:50:41 Apriori Algorithm Explained
07:08:11 What is Deep Learning?
07:30:14 Artificial Neural Network
08:02:35 Convolutional Neural Network
08:23:06 Recurrent Neural Networks
08:52:02 LSTM Explained
09:45:59 Transformers Neural Networks Explained
09:56:02 What are GANs?
10:08:22 Future of AI/ML
10:22:58 Artificial Intelligence Interview Questions & Answers

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-

Join us for the AI & ML Full Course 2025, a complete live tutorial hosted by edureka! designed to help you master Artificial Intelligence and Machine Learning from the ground up. This live session will guide you through key concepts such as supervised and unsupervised learning, deep learning, neural networks, natural language processing, and real-world model deployment. Whether you're a beginner looking to enter the world of AI or a professional aiming to enhance your skills, this course is structured to make complex topics easy to understand. Using hands-on projects and Python-based examples, you’ll gain the practical knowledge needed to build intelligent systems and data-driven applications. This session is ideal for students, job seekers, developers, and tech enthusiasts who want to stay ahead in the AI/ML landscape in 2025. Make sure to join live to engage with instructors in real time and earn your certificate of participation. Subscribe to our channel and turn on notifications so you don’t miss this powerful learning experience.
00:00:00 Introduction
00:01:47 What is Artificial Intelligence?
00:07:49 Types of Artificial Intelligence
00:18:56 AI vs Machine Learning vs Deep Learning
00:32:41 Artificial Intelligence with Python
02:11:47 What is Machine Learning?
02:23:29 Types of Machine Learning Models
02:30:35 Machine Learning Algorithm
02:52:29 Linear Regression Algorithm
02:59:55 Logistic Regression Algorithm
03:47:04 Linear Regression Vs Logistic Regression
03:50:35 Decision Tree Algorithm
04:36:09 Random Forest
05:01:24 KNN Algorithm
05:33:47 Naive Bayes Classifier
05:55:28 Support Vector Machine
06:20:59 K- Means Clustering Algorithm
06:44:19 Hierarchical Clustering
06:50:41 Apriori Algorithm Explained
07:08:11 What is Deep Learning?
07:30:14 Artificial Neural Network
08:02:35 Convolutional Neural Network
08:23:06 Recurrent Neural Networks
08:52:02 LSTM Explained
09:45:59 Transformers Neural Networks Explained
09:56:02 What are GANs?
10:08:22 Future of AI/ML
10:22:58 Artificial Intelligence Interview Questions & Answers

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

📢📢Check out the latest 2025 video on Top 10 Technologies for the most up-to-date insights!
📌 Top 10 Technologies to Learn in 2025 → https://youtu.be/5kjWh8lBxC4

📝Feel free to share your comments below.📝

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

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In this Data Science Course video, you'll learn the basics of data science, from statistics and machine learning to advanced topics like natural language processing and deep learning. You'll learn to collect, clean, and analyze data, build machine-learning models, and communicate your findings to stakeholders.

🔵 Here is a breakdown of the topics covered in the video:

00:00:00 - Introduction
00:02:43 - How to Master Data Science
00:14:50 - Demand for Data Science Professionals
00:28:24 - Data Science Learning Path
00:35:52 - Statistics & Probability
00:57:26 - What is Statistics?
01:39:19 - What is probability?
01:55:06 - Bayesian tree
02:52:13 - Sampling distribution
03:23:25 - Systematic Sampling
04:01:18 - Introduction to Numpy Array
04:37:32 - Numpy Indexing and Slicing
04:43:15 - Array Manipulation
05:04:33 - Introduction to Pandas
06:13:50 - Introduction to Matplotlib
06:17:09 - Types of Plots in Python
06:29:59 - Line plots
06:45:51 - Bar charts
06:50:18 - Scatter plots
06:54:21 - Histogram
07:26:51 - Pie charts
08:20:02 - Introduction to Machine Learning
08:21:13 - Types of machine learning
08:36:41 - Logistic Regression
08:44:34 - Data Visualization
10:08:52 - Data Science Interview Questions & Answers

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40% discount code: serranoyt

A friendly explanation of how computer recognize images, based on Convolutional Neural Networks.
All the math required is knowing how to add and subtract 1's. (Bonus if you know calculus, but not needed.)
For a brush up on Neural Networks, check out this video: https://www.youtube.com/watch?v=BR9h47Jtqyw

For a code implementation, check out this repo:
https://github.com/luisguiserr....ano/manning/tree/mas

0:00 Introduction
0:22 Simple World
1:05 Keyboard
1:33 Image recognition software
4:39 Image Recognition Classifier
6:12 Artificial Intelligence
8:47 Gradient Descent
10:26 Slightly More Complex World
11:47 Previous Knowledge
24:27 Convolutional Neural Network
28:27 Advanced World

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=PPckIbZyD2I&utm_medium=DescriptionFirstFold&utm_source=Youtube
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This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

Following are the topics covered in the Generative AI Full Course 2025:

0:00:00 Introduction to Gen AI Full Course 2025
0:00:45 What is Gen AI
0:11:24 Roadmap Gen AI
0:20:31 Top 10 AI Technologies
0:44:37 Deepseek r1
0:51:36 Deep Learning
0:59:53 Search GPT
1:02:08 Langchain
1:58:43 Generative Adversarial Tutorial
2:08:05 What are Gans
2:09:06 Transformers in AI
2:21:35 LSTM
2:22:59 Introduction to LLM
3:24:12 What is Machine Learning
4:20:44 Machine Learning Tutorial
6:26:07 Reinforcement Learning
6:45:58 CHatgpt analyse
6:56:54 Openai sora
7:05:47 LLM Benchmarkeing
7:56:30 Hugging Face and its tutorial
8:11:54 Open ai chatgpt o1 model
8:17:03 Gen ai tools for job interview
8:54:05 Agentic AI
9:11:10 Money with ai agents
9:19:33 Google Quantam AI
9:31:36 Machine Learning Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

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➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning

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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/mysql-dba
This Edureka tutorial video on MySQL Workbench explains all the fundamentals of MySQL Workbench with examples

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

( ** Apache Spark Training - https://www.edureka.co/apache-....spark-scala-certific ** )
This Edureka Spark Architecture Tutorial video will help you to understand the Architecture of Spark in depth. It includes an example where we will create an application in Spark Shell using Scala. It will also take you through the Spark Web UI, DAG and Event Timeline of the executed tasks.

The following topics are covered in this video:

1. Apache Spark & Its features
2. Spark Eco-system
3. Resilient Distributed Dataset(RDD)
4. Spark Architecture
5. Word count example Demo using Scala.

Check our complete Apache Spark and Scala playlist here: https://goo.gl/ViRJ2K

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#ApacheSparkTutorial #SparkArchitecture #Edureka

How it Works?

1. This is a 4 Week Instructor led Online Course, 32 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course

This Spark training will enable learners to understand how Spark executes in-memory data processing and runs much faster than Hadoop MapReduce. Learners will master Scala programming and will get trained on different APIs which Spark offers such as Spark Streaming, Spark SQL, Spark RDD, Spark MLlib and Spark GraphX. This Edureka course is an integral part of Big Data developer's learning path.

After completing the Apache Spark and Scala training, you will be able to:

1) Understand Scala and its implementation
2) Master the concepts of Traits and OOPS in Scala programming
3) Install Spark and implement Spark operations on Spark Shell
4) Understand the role of Spark RDD
5) Implement Spark applications on YARN (Hadoop)
6) Learn Spark Streaming API
7) Implement machine learning algorithms in Spark MLlib API
8) Analyze Hive and Spark SQL architecture
9) Understand Spark GraphX API and implement graph algorithms
10) Implement Broadcast variable and Accumulators for performance tuning
11) Spark Real-time Projects

- - - - - - - - - - - - - -

Who should go for this Course?

This course is a must for anyone who aspires to embark into the field of big data and keep abreast of the latest developments around fast and efficient processing of ever-growing data using Spark and related projects. The course is ideal for:

1. Big Data enthusiasts
2. Software Architects, Engineers and Developers
3. Data Scientists and Analytics professionals

- - - - - - - - - - - - - -

Why learn Apache Spark?

In this era of ever-growing data, the need for analyzing it for meaningful business insights is paramount. There are different big data processing alternatives like Hadoop, Spark, Storm and many more. Spark, however, is unique in providing batch as well as streaming capabilities, thus making it a preferred choice for lightning fast big data analysis platforms.
The following Edureka blogs will help you understand the significance of Spark training:

5 Reasons to Learn Spark: https://goo.gl/7nMcS0
Apache Spark with Hadoop, Why it matters: https://goo.gl/I2MCeP

For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

This is the first of a series of two videos on AI Agents.
In here, we talk about the strengths and weaknesses of LLMs, focusing on a specific example: Why are LLMs unable to tell good jokes, yet they can write such good poems?
This sets the tone for the next video on AI Agents.

Second video - Agents, Reasoning Models, and RAG: https://www.youtube.com/watch?v=xXL0gMo9Lso

Learn how to use Pandas and Python for Data Analysis, to Data Cleaning and Data Wrangling. You will learn by creating real life projects interactively to help you take the next step in your Data Science Career.

Learn more about the projects at https://www.datawars.io/freecodecamp

⚠️ Important! We encourage you to try to resolve the projects by yourself first! And watch the solution afterwards ⚠️

💻 Course created by Santiago Basulto from DataWars.
🔗 Find more interactive Data Science projects solve at: https://www.datawars.io

⭐️ Projects Covered ⭐️
⌨️ (0:00:00) Introduction

⌨️ (0:02:22) DataFrames practice: working with English Words [🟢 Easy]
This project focuses on the basics of pandas DataFrames, including understanding its structures and modifying them. The data we're using is a big dictionary of english words.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-english-words

⌨️ (0:33:26) Filtering and sorting with Pokemon data [🟢 Easy]
This project focuses on the main tasks of Data Analysis: filtering and sorting and question/answering. The dataset includes information of pokemons from all generations (to make it more fun!)
🔗 Solve the project by yourself: https://www.datawars.io/fcc-filtering-pokemon

⌨️ (1:24:30) The Birthday Paradox in the NBA [🟡 Intermediate]
The Birthday Paradox answers the question: how many people do you need in the same room in order to have a probability of at least 50% that two people share a birthday. The answer is astonishing! You'll use your findings to find which teams in the NBA share player's birthdays.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-birthday-nba

⌨️ (1:55:28) Matching Strings by Similarity using Levenshtein distance [🟡 Intermediate]
One of the most challenging tasks of Data Cleaning is dealing with Strings. This project is all about string handling and advanced techniques, as using the Combinatorics and the Levenshtein distance to find irregularities in company names.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-string-similarity

⌨️ (2:24:15) Data Cleaning with Google Playstore dataset [🟡 Intermediate]
An all-encompassing project that covers all the aspects of Data Cleaning, including: finding and fixing null values, duplicate values, outliers and more. The data was scraped from the Google Playstore which means that is full of irregularities. The project finishes with some Data Analysis tasks!
🔗 Solve the project by yourself: https://www.datawars.io/fcc-data-cleaning-playstore

⌨️ (3:18:34) Premier League Match Analysis [🔴 Advanced]
This project increases the complexity of your Data Analysis skills, as it combines Data Cleaning, with some analysis based on grouping operations. The dataset comes from the Premier League, the top-division Football/Soccer league in England.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-premier-league

⌨️ (3:53:46) NBA 2017 season analysis: joining and groupby practice [🔴 Advanced]
This project puts your Data Wrangling skills to a test, by asking you to merge different dataframes, clean them, and finish doing some analysis and question/answering. The dataset contains the full information of 2017 NBA statistics.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-nba-analysis


🎉 Thanks to our Champion and Sponsor supporters:
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Welcome to the most comprehensive Cyber Security Course For 2023! In this cutting-edge video series, we've meticulously curated an all-encompassing curriculum to equip you with the latest tools and techniques to defend against the ever-evolving threats in the digital landscape. With cyber attacks becoming increasingly sophisticated, it's imperative to stay ahead of the curve. Whether you're a beginner or an experienced professional, this course has something for everyone. You'll delve into the fundamentals of cybersecurity, network security, cryptography, ethical hacking, and much more. Our team of expert instructors will guide you through hands-on labs and real-world scenarios to enhance your practical skills. Learn to safeguard systems, protect sensitive data, and fortify against malicious intrusions. Stay ahead in the cybersecurity game and safeguard your digital assets with this Complete Cyber Security Course for 2023. Don't let cyber threats hold you back. Join us now and become a cybersecurity guardian!

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This HTML Full Course 2023 by Simplilearn will take you through the most basic and advanced level concepts of HTML, and you'll be able to learn HTML in 8 hours only. In this HTML tutorial for beginners 2023, we have covered everything you need to know and understand about the most basic block of web development. Additionally, you will also learn to create some fantastic projects with the help of all you will learn in this HTML Full Course 2023. Below are the topics we have covered in this HTML tutorial for beginners.

HTML Full Course 2023
00:03:55 HTML In 10 Minutes
00:11:34 Tags In HTML
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00:27:52 HTML Attributes
00:33:34 HTML Image Tag
00:43:41 HTML Table Tag
00:56:56 HTML Classes And IDs
01:06:46 HTML Style Tag
01:20:34 HTML JavaScript
01:28:20 HTML Layouts
01:48:11 HTML Responsive Image
01:54:08 Content Boxes In HTML
02:13:31 HTML Image Slider
02:41:50 HTML Input Types
02:56:20 HTML Navigation Bar
03:16:27 HTML Forms
03:26:48 HTML Login And Signup Forms
04:04:41 HTML Interview Questions
04:18:19 HTML Website Design Tutorial
05:35:20 HTML Quiz Application

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This program will give you the foundation for building full-stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is the perfect time to get started on your career as a full-stack web developer!

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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities:
🟡 AI & Machine Learning - https://l.linklyhq.com/l/1tMt8
🟢 Cyber Security - https://l.linklyhq.com/l/1tMt9
🔴 Data Analytics - https://l.linklyhq.com/l/1tMt1
🟠 Data Science - https://l.linklyhq.com/l/1tMt4
🔵 Cloud Computing - https://l.linklyhq.com/l/1tMtA