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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.

AI robots, with Elon Musk, Ameca, Boston Dynamics. To learn more about AI, please visit https://brilliant.org/digitalengine where you'll also find loads of fun courses on maths, science and computer science.

Here's the first video on our new channel, Go Rogue:
https://youtu.be/k07unSpmBSg

Thanks to Brilliant for sponsoring this video.

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Please don't feel anxious about this - the AI in this video obviously isn't dangerous (GPT-3 isn't conscious). I'm optimistic that the future of AI will be great (if we're careful).

Sources:

Here are the records for the original GPT-3 chat (screenshots and a video to avoid any doubt). I've marked the words from Elon Musk and Ameca on the first page (which I gave the AI to respond to in the previous video):
https://www.dropbox.com/sh/82i....wek5rnofmrn2/AADM4WO

Tesla's AI day 2, introducing the Tesla Optimus robot:
https://www.youtube.com/watch?v=ODSJsviD_SU&t=1198s

Researchers from Oxford University and DeepMind on AI risks:
https://onlinelibrary.wiley.co....m/doi/10.1002/aaai.1

Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action:
https://arxiv.org/abs/2207.04429

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Explore the future of artificial intelligence with Agentic AI! In this video, we dive into the exciting developments and advancements that are set to shape the industry in 2025. We will learn what Agentic AI is and how it goes beyond traditional AI by acting with purpose and autonomy. You’ll discover 5 powerful secrets behind Agentic AI—from multi-agent collaboration to real-world tool integration and ethical guardrails. By the end, you’ll understand how Agentic AI is transforming industries and why it’s the future of intelligent systems.

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00:00:00 Introduction
00:17:13 What is Agentic AI?
00:36:19 Agentic AI vs Generative AI
00:46:07 Agentic AI Roadmap
00:52:18 Introduction to Artificial Intelligence
00:58:37 Introduction to Deep Learning
02:28:29 Artificial Neural Network
03:08:09 Transformers Explained Using Generative AI
03:09:37 Transformers Neural Networks Explained
03:21:52 What are Large Language Models?
03:38:17 LLM vs SLM
03:41:59 What is LangChain?
03:59:35 What is RAG?
04:22:07 LLMOps: The Future of AI Development
04:29:57 Prompt Engineering
04:42:41 Natural Language Processing (NLP) & Text Mining using NLTK
05:22:21 KNN Algorithm using Python
05:45:23 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
05:49:47 DeepSeek vs OpenAI: Who Wins the AI Race?
06:02:06 Deep Learning Interview Questions

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

What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations. It is widely utilized in robotics, virtual assistants, self-driving cars, and sophisticated decision-making processes.

What are the prerequisites for this Agentic AI Training Course?
In order to complete this course successfully, participants need to have a basic understanding of the Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts.

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The Agentic AI online Training Course is ideal for AI enthusiasts, developers, and professionals looking to build autonomous AI agents. It is best suited for LLM Engineers, Generative AI Engineers, AI Research scientists, AI/ML practitioners, and freshers who want to leverage Agentic AI for automation and decision-making.

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Dive into the world of artificial intelligence with this comprehensive LLM Prompt Engineering Full Course by edureka! in collaboration with Veranda Enterprise. In this course, you'll learn how to effectively communicate with large language models like ChatGPT by mastering the art of prompt engineering. From the fundamentals of zero-shot and few-shot prompting to advanced techniques like chain-of-thought and structured prompting, this course is designed to equip you with the practical skills needed to build powerful AI-driven applications. Whether you're a developer, data scientist, or complete beginner, this full course provides real-world examples, hands-on demos, and expert tips to help you unlock the full potential of generative AI. Start your journey into prompt engineering and take your AI skills to the next level.

🔥Post Graduate Program in Generative AI and ML: 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
00:01:58 What is Prompt Engineering?
00:16:11 What are Large Language Models?
00:37:10 LLM vs SLM
00:42:52 What is Generative AI?
00:57:02 Prompt Engineering For Code Generation
01:06:43 GitHub Copilot Tutorial
01:23:51 Building a Chatbot with Prompt Engineering
01:39:20 What is LangChain?
01:56:35 What is RAG?
02:19:32 LLMOps: The Future of AI Development
02:25:55 What is Agentic AI?
02:36:47 Agentic AI vs Generative AI
02:57:58 What Is Multimodal AI?
03:14:58 Prompt Engineering Roadmap
03:22:38 Top 15 Popular Gen AI Tools You Must Know
03:40:38 Generative AI Interview Questions

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

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=cCYYv93MSCQ&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=cCYYv93MSCQ&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=cCYYv93MSCQ&utm_medium=DescriptionFirstFold&utm_source=Youtube

In this video, Top 10 No-Code App Builders in 2025, we explore the best platforms that let you create apps without writing any code. No-code tools have become more powerful, allowing anyone—from beginners to businesses—to build mobile and web apps easily. We’ll start by explaining how no-code platforms work, from setting up a database to designing your app and automating workflows. Then, we’ll dive into the top 10 no-code app builders, including Softr, Bubble, Glide, Adalo, and more. Some platforms are great for beginners, while others offer advanced features to build full-scale applications. Whether you want to launch a simple project, create a business tool, or build a scalable app, this video will help you find the best platform. No-code is changing the way apps are built, making development faster and more accessible.

00:00:00 – Introduction
00:01:15 – Step 1: Creating a Database
00:01:30 – Step 2: Building the User Interface
00:01:45 – Step 3: Logic and Automation
00:01:48 – 1. Softr
00:07:14 – 2. Bubble
00:11:15 – 3. Glide
00:14:52 – 4. Adalo
00:16:52 – 5. Backendless
00:18:54 – 6. Quickbase
00:20:06 – 7. Zapier Interfaces
00:22:17 – 8. FlutterFlow + Firebase
00:24:34 – 9. WeWeb + Xano
00:26:20 – 10. Bravo Studio

⏩ Check out More AI and ML Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#generativeAI #AITools #NoCodeApp #AI #GenAI #ArtificialIntelligence #simplilearn #2025

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

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=cCYYv93MSCQ&utm_medium=Description&utm_source=Youtube

🔥Product Management Professional Program: https://www.simplilearn.com/product-management-training-course-online?utm_campaign=4VwM4oTqRD0&utm_medium=Lives&utm_source=youtube
🔥Professional Certification in Product Management: https://www.simplilearn.com/product-management-certification-training-course?utm_campaign=4VwM4oTqRD0&utm_medium=Lives&utm_source=youtube

This Product Management Full Course by Simplilearn provides a complete overview of the field, starting with What is Product Management and What a Product Manager Does, followed by essential Product Management Skills and creating a Product Roadmap. It covers key concepts like Product Market Fit, Product Backlog, and PM Roles and Responsibilities, alongside distinctions such as Product Manager vs. Project Manager and Product Manager vs. Product Owner. The course delves into practical frameworks like Go-To-Market Strategy, Market Research, and Agile Principles, while offering tools such as Top 10 PM Tools and Product Manager KPI Techniques. It also addresses critical concepts like MVP, SCRUM Meetings, User Persona Creation, and Product Lifecycle Management, culminating with strategies to ace Product Management Interview Questions.

These are the following topics covered in this Product Manager Full Course:

00:00:00 Introduction to Product Management Full Course
00:11:35 What is Product Management
00:11:52 What does a product manager do?
00:19:09 Product Management Skills
00:38:16 Product Roadmap
00:42:01 Certification in product Manager
00:51:45 What is product market fit
01:07:04 Product sense mock interview
01:26:39 Product Manager Vs Project Manager
01:33:20 product Backlog
01:41:58 PM Roles and responsibilities
02:06:11 Top 10 PM Tools
02:39:04 Product Manager KPI Techniques
03:01:38 Product Manager Vs Product owner
03:03:03 Go TO Market Strategy Framework
03:20:57 What is Market Research
03:30:18 Agile Principles
03:31:18 How to create user persona
03:55:13 What is MVP
03:57:43 SCRUM Meeting Explained
03:59:28 Product Lifecycle Management
04:10:49 How to answer Product Management Interview Questions

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#ProductManagementFullCourse #productmanagement #productmanager #simplilearn #2025

➡️About Professional Certification In Product Management
Professional Product Management Course by SP Jain School of Global Management prepares you to become a product manager via an exhaustive curriculum covering all aspects of product management. This program focuses on the latest industry trends, advancements and related industry applications taught by top product experts via live sessions.

Key Features
✅ Certificate from SP Jain School of Global Management
✅ Live sessions by SP Jain top global faculties
✅ Get access to SPJ Exec Ed Alumni benefits post program completion
✅ Leverage Generative AI as a Product Manager using tools such as ChatGPT, Google Bard, Gencraft, Midjourney, & Picsart
✅ Product management masterclass by industry experts from companies like Google, Facebook, Amazon, Microsoft and more
✅ Hands-on learning experience by solving real-life product problems via projects on Facebook, Tesla, Instagram, Netflix & Nike
✅ Product manager toolkit training
✅ JIRA, Mixpanel, Google Analytics & Balsamiq
✅ Hands-on learning via case studies and assignments
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Product Strategy
✅ Product Market fit
✅ Product Ideation
✅ Rapid Prototyping
✅ Product Lifecycle Management

Learning Path
✅ UCSD PM: Induction Session for Product Management Program
✅ UCSD PM: Essentials - Introduction to Product Management
✅ UCSD PM: Essentials - Building Key Assets That Drive Product
✅ UCSD PM: Essentials - Building a Product Strategy
✅ UCSD PM: Essentials - Product Planning
✅ UCSD PM: Essentials - Working with Other Teams
✅ UCSD PM: Essentials - Hypothesis Validation
✅ UCSD PM: Essentials - Agile Development Process
✅ UCSD PM: Essentials - Building Prototypes
✅ UCSD PM: Essentials - Product Analytics
✅ UCSD PM: Essentials - Business Fundamentals
✅ UCSD PM: Essentials - Portfolio Assessment
✅ UCSD PM: User Experience Research for Product Managers
✅ UCSD PM: Product Design for Product Managers
✅ UCSD PM: Product Marketing for Product Managers
✅ UCSD PM: Introduction to Software Development Basics for Product Managers
✅ UCSD PM: Product Management Tools
✅ UCSD PM: Product Management Capstone Project
Electives:
✅ Masterclass by UC San Diego Division of Extended Studies
✅ UCSD PM: Product Management Masterclass by Industry Experts
✅ UCSD PM: Product Teardown Sessions
✅ UCSD PM: AI- Powered Product Management

🔥Learn More about Product Management Professional Program: https://www.simplilearn.com/product-management-training-course-online?utm_campaign=4VwM4oTqRD0&utm_medium=Lives&utm_source=youtube

🔥CISM Certification: Certified Information Security Manager - https://www.simplilearn.com/cyber-security/cism-certification-training?utm_campaign=6WXVkGX4K24&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Cybersecurity- Red Team (India Only) - https://www.simplilearn.com/vapt-vulnerability-assessment-penetration-testing-certification?utm_campaign=6WXVkGX4K24&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IIITB - Advanced Executive Program in Cybersecurity (India Only) - https://www.simplilearn.com/pgp-advanced-executive-program-in-cyber-security?utm_campaign=6WXVkGX4K24&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Professional Certificate Program in Cybersecurity - https://www.simplilearn.com/cybersecurity-program-online?utm_campaign=6WXVkGX4K24&utm_medium=DescriptionFirstFold&utm_source=Youtube

The Penetration Testing Full Course by Simplilearn covers essential topics in cybersecurity and ethical hacking. It starts with a cybersecurity tutorial for beginners, followed by an overview of ethical hacking and penetration testing basics. The course explores cybersecurity career roadmaps, salaries for penetration testers, and top cybersecurity certifications. Learners can discover hacking gadgets, phishing attacks, and Wireshark tutorials for network analysis. The course also introduces EthicalHacker GPT and highlights common cybersecurity mistakes and interview questions for aspiring professionals.

The following are the topics covered in the Penetration Testing Full Course:

00:00:00 Introduction to Penetration Testing Full Course
00:14:24 Cyber Security Tutorial For Beginners
00:22:19 What is Ethical Hacking
00:36:13 Top 5 Cybersecurity Certifications
01:01:34 Penetration Testing Tutorial for beginners
01:14:06 Cybersecurity Engineer roadmap
01:21:24 Penetration Tester Salary
03:56:50 Ethical Hacking Tutorial For Beginners
03:57:33 Top 7 Dangerous Hacking Gadgets
04:16:01 Phishing Attacks
04:33:30 EthicalHacker GPT
Toughest Cybersecurity Certifications
Common Cybersecurity Mistakes
Wireshark tutorial for beginners
Cyber security Interview Questions

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

⏩ Check out the Cyber Security training videos: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#ethicalhacking #cybersecurity #cybersecuritycertification #cybersecuritytutorial #simplilearn #2025

What Is Penetration Testing in Cyber Security?
Penetration testing is a controlled form of hacking into a web application or a mobile application, cyber security experts use ethical hacking techniques to find the flaws and then try to fix weaknesses. The results of a penetration test can be used to improve a system's security posture and patch vulnerabilities.

➡️ About Cyber Security Expert Masters Program
This cybersecurity expert program readies individuals for CEH, CompTIA Security+, and CISSP certifications, offering a holistic defense strategy against dynamic cyber threats. CEH emphasizes ethical hacking, CompTIA focuses on foundational security concepts, and CISSP covers advanced principles and management.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Get Lifetime access to self-paced videos
- CEH Exam Voucher with 6 months of complimentary iLabs access
- Live Classes by Accredited instructors
- Earn the requisite 30 CPEs required to take up the CISSP certification exam.
- Simulation tests focused on exam preparation

✅ Skills Covered
- Network Security
- Risk Management
- Network Packet Analysis
- Asset Security
- Disaster Recovery
- Encryption
- System Hacking
- Malware Threats
- Planning and Monitoring
- Identity and Access Management
- Forensics
- Cryptography
- System Penetration Testing
- Incident Management
- Pen Testing
- Vulnerability Analysis
- Software Development Security

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

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component, it explores common practices in data collection, algorithms, and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanford’s CS229: Machine Learning course, in Summer 2024.

Yann Dubois
PhD Student at Stanford
https://yanndubs.github.io/

About the speaker: Yann Dubois is a fourth-year CS PhD student advised by Percy Liang and Tatsu Hashimoto. His research focuses on improving the effectiveness of AI when resources are scarce. Most recently, he has been part of the Alpaca team, working on training and evaluating language models more efficiently using other LLMs.

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

Chapters:
00:00 - Introduction
00:10 - Recap on LLMs
00:16 - Definition of LLMs
00:19 - Examples of LLMs
01:16 - Importance of Data
01:20 - Evaluation Metrics
01:33 - Systems Component
01:41 - Importance of Systems
01:47 - LLMs Based on Transformers
01:57 - Focus on Key Topics
02:00 - Transition to Pretraining
03:02 - Overview of Language Modeling
04:17 - Generative Models Explained
05:15 - Autoregressive Models Definition
06:36 - Autoregressive Task Explanation
07:49 - Training Overview
08:48 - Tokenization Importance
10:50 - Tokenization Process
13:30 - Example of Tokenization
16:00 - Evaluation with Perplexity
20:50 - Current Evaluation Methods
24:30 - Academic Benchmark: MMLU

️🔥 Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=yMot_Z9yjZ8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft AI Engineer Program (India Only) - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=yMot_Z9yjZ8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=yMot_Z9yjZ8&utm_medium=DescriptionFirstFold&utm_source=Youtube

The AI Agents Full Course 2026 by Simplilearn starts with an introduction to AI Agents, their environments, and the Agentic AI roadmap, before moving into hands-on learning like building AI agents without code. It then explores core technologies including Natural Language Processing, multimodal AI, RAG (Retrieval-Augmented Generation), and Agentic AI workflows. Learners practice through n8n, LangGraph, LangChain, Firebase Studio, MCP, and Claude Code tutorials, alongside comparisons like Gemini CLI vs Claude Code. The course also introduces voice agents, Generative AI agents, DeepSeek R1, Meta’s LLaMA 3.2, and Manus AI. Finally, it covers practical applications and strategies to make money with AI agents, preparing learners for both technical mastery and real-world opportunities.

Following are the topics covered in the AI Agents Full Course 2026:

00:00:00 - Introduction to AI Agents Full Course 2026
00:02:15 - AI Agents Tutorial
00:35:58 - Agentic AI Roadmap
00:51:07 - AI Agents and Environments
00:56:29 - How to Build AI Agents Without Code
01:13:47 - Natural Language Processing Tutorial
01:46:36 - n8n Tutorial
01:59:42 - Agentic AI Workflow
03:30:02 - Build AI Agents From Scratch
03:53:44 - Langraph Tutorial
04:08:44 - What Are Gen AI Agents
04:26:50 - How to Build AI Voice Agents
04:49:18 - Langchain Explained
04:59:54 - Multimodal AI
05:05:31 - Build Agentic Rag
06:04:10 - MCP Tutorial
06:26:54 - Claude Code Tutorial for Beginners
06:41:16 - Germini CLI vs Claude Code
06:57:25 - Firebase Studio
07:10:02 - Manus AI
07:22:24 - Introduction to LLM
07:28:24 - Deepseek R1
07:44:29 - Install Deepseek
07:55:42 - Meta New Lama 3.2
08:04:00 - Make Money With AI Agents

✅ 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

#generativeAI #AIAgents #AIAgentsTutorial #AI #GenAI #ArtificialIntelligence #simplilearn #2026

➡️ 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
✅ 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
✅ 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

👉 Learn More At: https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=yMot_Z9yjZ8&utm_medium=Description&utm_source=Youtube

Помощь проекту: https://www.patreon.com/VertDider

Леонардо, то ли просто дрон с ногами, то ли не просто, умеет ходить по канату и кататься на скейтборде задом наперед, а его усовершенствованные потомки, возможно, когда-нибудь полетят в космос. По крайней мере, на это надеются его создатели. Дерек Маллер отправился посмотреть на Лео, посоревновался с ним и показал, в каких условиях его тестируют. Как думаете, у этого чуда техники большое будущее?

Перевод: Елена Смотрова
Редактура: Алексей Малов
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Монтаж видео: Джон Исмаилов

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This video helps you to learn following topics:

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Edureka's Advanced Java/J2EE and SOA training and certification course is designed for students and professionals who want to be a Java Developer. This is a 42 hour course which will cover both core and advanced Java concepts like Database connectivity, Threads, Exception Handling, Collections, JSP, Servlets, XML Handling etc. We will also learn various Java frameworks like Hibernate and Spring. During our Java/ Certification training, our instructors will help you:

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In spite of having a tough competition on the server side from Microsoft and other companies, Java is doing extremely well on mobile platforms, thanks to Android! It has also been the primary language for Hadoop Developers.
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/prompt-....engineering-generati (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
Dive into the world of 'Prompt Engineering Explained' to get the lowdown in layman's terms. Ever wondered how your daily tech gadgets work or how engineers solve complex problems? In this video I will be explaining you what is prompt engineering and how it works. From developers to content creators anybody can use this amazing technology. I have also covered the fundamentals of prompt engineering like Tree of thoughts and elaborated on how it is useful in areas like Business Analytics and so on.

⏩ Edureka Chat GPT Explained Playlist: http://bit.ly/3HGRy3G

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🔵 About Edureka ChatGPT Certification Training Course

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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.

Dr. Paul Lessard and his collaborators have written a paper on "Categorical Deep Learning and Algebraic Theory of Architectures". They aim to make neural networks more interpretable, composable and amenable to formal reasoning. The key is mathematical abstraction, as exemplified by category theory - using monads to develop a more principled, algebraic approach to structuring neural networks.

We also discussed the limitations of current neural network architectures in terms of their ability to generalise and reason in a human-like way. In particular, the inability of neural networks to do unbounded computation equivalent to a Turing machine. Paul expressed optimism that this is not a fundamental limitation, but an artefact of current architectures and training procedures.

The power of abstraction - allowing us to focus on the essential structure while ignoring extraneous details. This can make certain problems more tractable to reason about. Paul sees category theory as providing a powerful "Lego set" for productively thinking about many practical problems.

Towards the end, Paul gave an accessible introduction to some core concepts in category theory like categories, morphisms, functors, monads etc. We explained how these abstract constructs can capture essential patterns that arise across different domains of mathematics.

Paul is optimistic about the potential of category theory and related mathematical abstractions to put AI and neural networks on a more robust conceptual foundation to enable interpretability and reasoning. However, significant theoretical and engineering challenges remain in realising this vision.

Please support us on Patreon. We are entirely funded from Patreon donations right now.
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Links:
Categorical Deep Learning: An Algebraic Theory of Architectures
Bruno Gavranović, Paul Lessard, Andrew Dudzik,
Tamara von Glehn, João G. M. Araújo, Petar Veličković
Paper: https://categoricaldeeplearning.com/

Symbolica:
https://twitter.com/symbolica
https://www.symbolica.ai/

Dr. Paul Lessard (Principal Scientist - Symbolica)
https://www.linkedin.com/in/paul-roy-lessard/

Neural Networks and the Chomsky Hierarchy (Grégoire Delétang et al)
https://arxiv.org/abs/2207.02098

Interviewer: Dr. Tim Scarfe

Pod: https://podcasters.spotify.com..../pod/show/machinelea

Transcript:
https://docs.google.com/docume....nt/d/1NiHJKTkeqYdpcg

More info about NNs not being recursive/TMs:
https://www.youtube.com/watch?v=4KIQH1VEwBI

Geometric Deep Learning blueprint:
https://www.youtube.com/watch?v=bIZB1hIJ4u8

TOC:
00:00:00 - Intro
00:05:07 - What is the category paper all about
00:07:19 - Composition
00:10:42 - Abstract Algebra
00:23:01 - DSLs for machine learning
00:24:10 - Inscrutability
00:29:04 - Limitations with current NNs
00:30:41 - Generative code / NNs don't recurse
00:34:34 - NNs are not Turing machines (special edition)
00:53:09 - Abstraction
00:55:11 - Category theory objects
00:58:06 - Cat theory vs number theory
00:59:43 - Data and Code are one and the same
01:08:05 - Syntax and semantics
01:14:32 - Category DL elevator pitch
01:17:05 - Abstraction again
01:20:25 - Lego set for the universe
01:23:04 - Reasoning
01:28:05 - Category theory 101
01:37:42 - Monads
01:45:59 - Where to learn more cat theory