This lecture, by DeepMind Research Scientist Felix Hill, first discusses the motivation for modelling language with ANNs: language is highly contextual, typically non-compositional and relies on reconciling many competing sources of information. This section also covers Elman's Finding Structure in Time and simple recurrent networks, the importance of context and transformers. In the second part, he explores unsupervised and representation learning for language from Word2Vec to BERT. Finally, Felix discusses situated language understanding, grounding and embodied language learning.

Download the slides here:
https://storage.googleapis.com..../deepmind-media/UCLx

Find out more about how DeepMind increases access to science here:
https://deepmind.com/about#access_to_science

Speaker Bio:

Felix Hill is a Research Scientist working on grounded language understanding, and has been at DeepMind for almost 4 years. He studied pure maths as an undergrad, then got very interested in linguistics and psychology after reading the PDP books by McClelland and Rumelhart, so started graduate school at the University of Cambridge, and ended up in the NLP group. To satisfy his interest in artificial neural networks, he visited Yoshua Bengio's lab in 2013 and started a series of collaborations with Kyunghyun Cho and Yoshua applying neural nets to text processing. This led to some of the first work on transfer learning with sentence representations (and a neural crossword solver). He also interned at FAIR in NYC with Jason Weston. At DeepMind, he's worked on developing agents that can understand language in the context of interactive 3D worlds, together with problems relating to mathematical and analogical reasoning.

About the lecture series:

The Deep Learning Lecture Series is a collaboration between DeepMind and the UCL Centre for Artificial Intelligence. Over the past decade, Deep Learning has evolved as the leading artificial intelligence paradigm providing us with the ability to learn complex functions from raw data at unprecedented accuracy and scale. Deep Learning has been applied to problems in object recognition, speech recognition, speech synthesis, forecasting, scientific computing, control and many more. The resulting applications are touching all of our lives in areas such as healthcare and medical research, human-computer interaction, communication, transport, conservation, manufacturing and many other fields of human endeavour. In recognition of this huge impact, the 2019 Turing Award, the highest honour in computing, was awarded to pioneers of Deep Learning.

In this lecture series, research scientists from leading AI research lab, DeepMind, deliver 12 lectures on an exciting selection of topics in Deep Learning, ranging from the fundamentals of training neural networks via advanced ideas around memory, attention, and generative modelling to the important topic of responsible innovation.

🔥Edureka 𝐀𝐳𝐮𝐫𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 Course Use code (𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎): https://www.edureka.co/microso....ft-certified-azure-s
This Edureka Azure Tutorial will give you a gist of the kind of questions that you may face in your interviews on Microsoft Azure. The concepts explained here are essential for any Solution Architect in the making.

📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

Following pointers are covered in this video:
00:00 Introduction
01:15 Agenda
01:25 What is microsoft Azure?
01:55 What is Azure DevOps?
02:25 Azure Devops Interview Questions
14:47 Azure DevOpsInterview questions (Scenario based)

- - - - - - - - - - - - - -
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

🔵 DevOps Online Training:https://bit.ly/3r7xtvQ
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🔵 DevOps Engineer Masters Program: https://bit.ly/37p4goY
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🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax

--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

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Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

- - - - - - - - - - - - -
𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐂𝐨𝐮𝐫𝐬𝐞
The Azure Architect training is designed in alignment with Microsoft Azure AZ 303 & AZ 304 Examination. This will give you a thorough knowledge of various Azure Services, including PaaS, IaaS, and SaaS features.

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐭𝐡𝐞 𝐀𝐳𝐮𝐫𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 (𝐀𝐙 𝟑𝟎𝟑 𝐚𝐧𝐝 𝐀𝐙 𝟑𝟎𝟒)?
You will be made familiar with the design and implementation of various components of cloud solutions including Security, Monitoring, and Migration.

𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐩𝐫𝐞𝐫𝐞𝐪𝐮𝐢𝐬𝐢𝐭𝐞𝐬 𝐟𝐨𝐫 𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠?
Following are the prerequisites for Microsoft Azure Solution Architect training:
Foundational knowledge on Cloud architecture
Fundamentals of Cloud Computing
Basic understanding of virtualization, networking & databases
Proficiency in using Visual Studio IDE, PowerShell and Command-Line Interface
Coding experience in C# (.NET Framework) - Optional

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

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/mysql-dba (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
A transaction is the propagation of one or more changes to the database. For example, if you are creating a record or updating a record, or deleting a record from the table, then you are performing transactions on the table. It is important to control transactions to ensure data integrity and to handle
database errors. Practically, you will club many SQL queries into a group and you will execute all of them together as a part of a transaction. this video helps you to learn about transactions and transaction manipulation.
Topics Covered :
00:00:00 Introduction
00:00:22 Transactions
00:01:34 Properties
00:03:16 COMMIT & ROLLBACK
00:03:51 AUTO-COMMIT
00:04:41 Transaction- Safe Table Types in MySQL
00:06:12 ALTER command & syntax

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
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🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

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NIT Warangal: http://bit.ly/3OuZ3xs

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
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📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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

🔥 Data Analyst Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=SQLForDataAnalytics0122-YvaddgkneEg&utm_medium=DescriptionFF&utm_source=youtube
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This video on "SQL for Data Analytics 2023" by Simplilearn will help you understand the various skills needed for data analytics in SQL, and you will know how SQL is used for Data Analytics. This SQL tutorial will also help you master all the basic and advanced-level concepts of SQL programming, along with the demos for the same.
Below are the topics we have covered in this SQL For Data Analysis 2023 video.
00:00:00 Introduction to SQL
00:03:32 What is SQL Tutorial?
00:15.33 What is DBMS?
00:32:30 Installation of MySQL on PC
00:40:10 SQL Syntax, Data types, Commands
01:00:32 What are SQL Operators?
01:23:15 What are SQL Expressions?
01:34:02 How to create a database in MySQL?
01:40:44 What is SQL Table Tutorial?
01:57:39 SQL Select Statement tutorial
02:19:41 What is SQL Clause?
02:44:29 SQL Insert Statement tutorial
02:53:48 SQL Update Statement tutorial
03:01:12 SQL Delete Statement tutorial
03:10:21 What is SQL Join?
03:51:37 What are Keys in SQL?
04:04:53 What are Aggregate Functions?
04:21:12 What are Scalar Functions?
04:37:10 SQL Group by and Order by
04:57:08 How to use Where Clause in SQL?
05:01:24 SQL Where vs. Having Clause
05:21:15 What are Subqueries?
05:31:27 How to Create a user-defined Function in SQL?
05:42:51 What are Commit and Rollback in SQL?
05:58:35 SQL Like Clause Tutorial
06:11:52 How to find Nth highest Salary?
06:25:58 WebSQL Tutorial
06:41:00 Cast and Convert Function in SQL
06:57:21 What is View In SQL?
07:17:03 SQL Interview Questions for Beginners

Dataset Link: https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

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What is SQL(Structured Query Language)?
SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system or for stream processing in a relational data stream management system.

✅ About Data Analyst Master's Program

This Data Analytics course in collaboration with IBM makes you a Data Analytics expert. Our Data Analyst course helps you learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations and apply statistics and predictive analytics in a business environment. This Data Analytics certification also features Masterclasses from IBM experts.

✅ What are the Data Analyst course learning objectives?

Simplilearn’s Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analytics training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.

✅ Why become a Data Analyst?

The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.

✅ Tools Covered

- Microsoft Excel
- Tableau
- NumPy
- Pandas
- SciPi
- Power BI
- Python
- R Programming
- MySQL

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Don't miss the next build - https://www.youtube.com/@simon....scrapes?sub_confirma
Grab the full resources for this video here (free): https://scrapeshq.notion.site/....Every-Level-of-Claud

Think you're getting the most out of Claude Code? You're probably just scratching the surface. In this video, we break down the 7 levels of mastery, guiding you from basic prompting all the way to building fully autonomous systems. Stop the trial-and-error and start unlocking Claude Code's true potential today.

00:00 - Every Level of Claude Code Explained in 39 Minutes
00:41 - Level 1: The One Thing You Need To Know
03:25 - Level 2: Personalizing CLAUDE for better responses
10:25 - Level 3: Slash Commands, Skills & Hooks - Repeatability
21:21 - Level 4: Connecting Claude Code to Your Apps (MCPs)
26:18 - Level 5: Move from Executor to Supervisor
29:34 - Level 6: Agent Teams
35:57 - Level 7: Fully Autonomous Systems


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In this video, I go over how to create a custom dataset to finetune GPT Neo and GPT-J-6B. To do this, I create an AI quote generator.

Github: https://github.com/mallorbc/GPT_Neo_quotes_dataset

Timestamps

00:00 - Intro
00:29 - Quotes Dataset
01:59 - Code Overview
07:07 - Running The Code
07:54 - Looking At Generated Dataset
08:35 - Running The Fine-tuned Model
09:56 - Outro

Anthropic’s Alex Albert (Claude Relations) sits down with Erik Schluntz (Multi-Agent Research and co-author of our blog post, Building Effective Agents) for a discussion on the evolution of agents over the past six months, including tips for building multi-agent systems, common multi-agent patterns, and best practices for using skills, MCP servers, and tools.

00:00 - Introductions
00:35 - Training Claude to tackle agentic tasks
1:30 - Making Claude more autonomous with code
3:20 - Using the Claude Agent SDK to build agents
5:00 - Tips for using Agent Skills
6:40 - The evolution of workflows and agents (workflows of agents)
8:30 - The value of simple agent architectures
9:30 - Building multi-agent systems: orchestrators, subagents, and tool calling
11:40 - Training Claude to use subagents
12:25 - Multi-agent use design patterns: parallelization, MapReduce, and test-time compute
13:20 - Coordinating problem solving with tools and subagents
14:15 - Common agent failure modes
15:00 - Best practices for getting started with building agents (context engineering, MCPs, and tools)
17:15 - The future of agents: coding, computer use, and beyond

Read the original blog post: https://www.anthropic.com/engi....neering/building-eff
Learn more about Agent Skills: https://www.anthropic.com/engi....neering/equipping-ag

In this video, I dive into the world of agentic AI, a concept that's set to be a major buzzword in 2025. We explore how agentic AI combines multiple agents—some of which are language models (LLMs) and others that are tools—to create more sophisticated and effective AI workflows. We walk through a simple example of how an AI agent can draft a marketing plan, another can critique it, and a third can refine it based on the feedback. We also discuss how some agents can be tools, like a Google search to gather data, and how an orchestrator agent can manage the entire process, adjusting steps as needed.

Leave me a comment if you have new topics I should be discussing.

Check out my LinkedIn: https://www.linkedin.com/in/donwoodlock/

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YouTube Timestamps
0:00 – 0:20 Welcome
0:21 – 0:50 Introduction to the concept of Agentic AI
0:51 – 3:50 Explanation of how Agentic AI works
3:50 – 4:08 Advertisement plug-in
4:08 – 5:20 Example of using compound LLM’s
5:21 – 5:55 Why you should use a compound LLM approach
5:57 – 6:45 Best way to train and use LLM’s for optimal outcome
6:45 – 7:40 How to think of LLM as agents
7:41 – 10:05 Not every agent needs to be an LLM
10:06 - 10:50 Possibility of having an orchestrator agent
10:51 – 12:50 How to use these agents
12:51 – 13:26 Closing remarks

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ABOUT INTERSYSTEMS
Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe. InterSystems Corporation is ranked by Gartner, KLAS, Forrester and other industry analysts as the global leader in Data Access and Interoperability. InterSystems is the global market leader in Healthcare and Financial Services.

Website: https://www.intersystems.com/
Youtube: https://www.youtube.com/@InterSystemsCorp
LinkedIn: https://www.linkedin.com/company/intersystems/
Twitter: https://twitter.com/InterSystems

#agenticai #aiagents #LLM

Welcome to Intro to Deep Learning! This course is for anyone who wants to become a deep learning engineer. I'll take you from the very basics of deep learning to the bleeding edge over the course of 4 months. In this video, we’ll predict an animal’s body weight given it’s brain weight using linear regression via 10 lines of Python. I’ll have a live session every Wednesday at 10 AM PST that covers my weekly video topics in depth. You can click on the little notification bell next to the subscribe button to get an email notification whenever I’m live. And each session is recorded and uploaded to this channel in case you miss it. This Youtube content is 100% created by me (from the writing to the editing, etc.) , it’ll all be released on my channel, and it’s totally free.

I am also very proud and excited to announce my new, exclusive partnership with Udacity. Together, we’re offering the new Deep Learning Nanodegree Foundation program. If you want to take your game to the next level, this is for you! Especially since Udacity will be providing guaranteed admission to their groundbreaking Artificial Intelligence and Self-Driving Car Nanodegree programs to all graduates. They’re offering discounted limited-time pricing, so enroll now to enjoy the unique projects, program sets, and expert reviews. Plus, their community is amazing, so don’t forget to join the Slack channel after you enroll (I’ll be in there too!) And hey, I’m getting paid a small royalty from each enrollment, so let’s do this together!

Link to the Udacity nanodegree:
https://www.udacity.com/course..../deep-learning-nanod

Please Subscribe! And like. And comment. That’s what keeps me going.

This weeks coding challenge (these weekly challenges are not related to the Udacity nanodegree projects, those are additional):
https://github.com/llSourcell/....linear_regression_de

Mick’s winning code:
https://github.com/mickvanhulst/q_learning

Vishal’s runner-up code:
https://github.com/erilyth/Q-Learning-on-Mazes

More learning resources:
http://machinelearningmastery.....com/a-tour-of-machin
https://docs.microsoft.com/en-....us/azure/machine-lea
https://www.toptal.com/machine....-learning/machine-le
https://onlinecourses.science.....psu.edu/stat501/node
http://machinelearningmastery.....com/simple-linear-re

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

The vast majority of this course will use Tensorflow. It's just this first example that's using scikit-learn.

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
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This is the ultimate AI full course for absolute beginners who want to understand and start building with Artificial Intelligence — step by step and from scratch.
💡 What You’ll Learn:
✅ What is AI and how it works in 2026
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00:01:48 What is Artificial Intelligence?
00:04:02 Types Of Artificial Intelligence
00:14:16AI vs Machine Learning vs Deep Learning
00:28:00 What is Deep Learning?
00:39:13 What is LLM? (Large Language Model)
00:55:43 What is AI Ethics?
01:04:19 What is Responsible AI?
01:12:33 Artificial Intelligence with Python
02:51:29 Artificial Neural Network
03:23:17 Recurrent Neural Networks
03:52:09 Convolutional Neural Network
04:12:44 Introduction to TensorFlow
04:36:21 OpenAI o3-mini Model
04:43:33 Introduction to Midjourney
05:02:05 How to use Midjourney?
05:09:48 GitHub Copilot
05:27:07 What is Vibe Coding?
05:36:17 Top 5 AI Frameworks
05:51:02 How AI is Transforming Studio Ghibli-Style Animation?
05:56:29 AI in Web Development
06:21:40 AI in Healthcare
06:30:22 AI in Retail
06:36:31 AI in Automotive
06:46:26 AI for Marketing
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07:49:43 AI for Ethical Hacking
07:54:37 AI on Microsoft Azure
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08:12:03 AI Engineer Learning Path 2025
08:19:15 Top 15 AI Skills You Need to Know
08:27:35 Build AI Applicant Tracking System (ATS)
08:43:09 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.

Exploring a couple of the latest text to image generators that you can begin using right now, Stable Diffusion and MidJourney.

Stable Diffusion model download: https://huggingface.co/CompVis..../stable-diffusion-v1
MidJourney website: https://www.midjourney.com/home/
BLOOM AI model video: https://www.youtube.com/watch?v=3EjtHs_lXnk
DreamStudio: https://beta.dreamstudio.ai

Neural Networks from Scratch book: https://nnfs.io
Channel membership: https://www.youtube.com/channe....l/UCfzlCWGWYyIQ0aLC5
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/aws-certification-training (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
In this Edureka tutorial on AWS IAM, we will show you how to secure your AWS account using IAM service in AWS. Below are the topics that are covered in this tutorial:

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

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🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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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.

🔥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-
00:00:00 Introduction
00:04:16 What is Generative AI?
00:17:44 Generative AI Examples
00:36:23 Generative AI Tools
00:54:10 What Is Artificial Intelligence?
01:00:14 Types Of Artificial Intelligence
01:10:29 What is Deep Learning
01:21:42 TensorFlow Explained
01:46:28 Convolutional Neural Network
02:07:04 Artificial Neural Network
02:38:55Recurrent Neural Networks
03:07:38 Keras
03:32:58 Generative AI Course - Part 1 - What is LLM?
03:52:42 What Are GANs?
04:05:03 Transformers In Gen AI
04:12:42 Prompt Engineering Explained
04:26:27 Prompt Engineering for Code Generation
04:35:46 How to Become a Prompt Engineer
04:40:50 Building a Chatbot with Prompt Engineering
04:57:00 GitHub Copilot
05:14:25 Generative AI Course - Part 2 - What is LangChain?
05:31:40 Generative AI Course - Part 3 - What is RAG?
05:54:33 Generate Images Using DC-GAN
06:19:07 Midjourney
06:37:28 OpenAI API using Python
06:45:43 Generative AI in Marketing
06:56:13 What is Agentic AI?
07:06:13 The Future of Generative AI and Job Opportunities
07:11:57 Nvidia's Latest Breakthrough in Generative AI
07:18:34 DeepSeek vs OpenAI: Who Wins the AI Race?
07:31:07 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
07:35:30 DeepSeek Training Cost
07:40:59 Exploring the 07:48:29 Ethics of Generative AI
Dangers of AI
08:11:15 Artificial Intelligence Project Ideas
08:24:52 Top 10 Benefits Of Artificial Intelligence
08:36:40 GenAI Roadmap
08:45:25 Top 5 Generative AI Career Opportunities
09:01:38 Generative AI Interview Questions

Explore *Generative AI* with this Beginner to Advanced Full Course! Learn key concepts like LLMs, GANs, Transformers, Prompt Engineering, and AI Ethics with hands-on projects. Whether you're a beginner or an AI enthusiast, this course will guide you step-by-step to mastering Generative AI. Watch now and start building with AI today

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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