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Cyber Security Full Course | Cybersecurity Tutorial For Beginners | Cybersecurity Tools |Simplilearn
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🔥 Caltech Cybersecurity Bootcamp - https://www.simplilearn.com/cybersecurity-bootcamp?utm_campaign=SITNRrcd5xo&utm_medium=DescriptionFirstFold&utm_source=Youtube
In this cybersecurity Full course for beginners, you will learn the importance of cybersecurity, cybersecurity skills, what cybersecurity means, and the types of cyberattacks with a hands-on demo for each. This video also covers cryptography, ethical hacking, and the top cybersecurity certifications.
Below are the topics covered in this Cyber Security full course video:
00:00:00 Introduction to Cybersecurity Full Course
00:14:24 What is Cyber Security
00:15:15 Toughest Cybersecurity Certifications
03:12:01 Cyber Security Basics
03:23:52 Phishing Attacks
03:24:35 Top 7 Dangerous Hacking Gadgets
08:06:37 Live Demonstrations
08:24:06 ChatGPT For Ethical Hacker
08:24:34 Common Cybersecurity Mistakes
09:16:10 Cybersecurity Interview Questions
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⏩ Check out the Cyber Security training videos: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU
#CyberSecurity #CyberSecurityFullCourse #CyberSecurityCourse #LearnCyberSecurity #CyberSecurityTrainingForBeginners #CyberSecurityExplained #CyberSecurityTutorial #Simplilearn
What Is Cyber Security?
Cyber Security involves techniques that help in securing various digital components, networks, data, and computer systems, from unauthorized digital access. There are several ways to implement cybersecurity, depending on the kind of network you are connected to and the type of cyberattacks you are prone to. A few ways to implement cybersecurity are defining clear boundaries, using network security control devices like Firewalls and IDS, and carrying out security testing.
➡️ About Post Graduate Program In Cyber Security
This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.
Key Features
✅ Simplilearn Post Graduate Certificate
✅ Masterclasses from MIT Faculty
✅ Featuring Modules from MIT SCC and EC-Council
✅ 8X higher interaction in live online classes conducted by industry experts
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Industry case studies in cyber security
✅ Access to CEH Pro Version
✅ 25+ hands-on projects
✅ Capstone project in 3 domains
✅ MIT CSAIL Professional Programs Community
Skills Covered
✅ Advanced Hacking Concepts
✅ Network Packet Analysis
✅ Ethical Hacking
✅ IDS Firewalls and Honeypots
✅ Security and Risk Management
✅ Network Security
✅ Software Development Security
✅ Cryptography OSI and TCPIP Models
✅ Identity and Access Management
✅ Security Assessment and Testing
✅ Trojans Backdoors and Countermeasures
✅ Mobile and Web Technologies
Learning Path
✅ CS - Induction for Professional Certificate Program in Cyber Security
✅ CS - Operating Systems and Networking Essentials
✅ CS - Enterprise Infrastructure Security
✅ CS - Application Security, Vulnerability Management, and Cyber Resilience
✅ CS - Ransomware and Malware ✅ Defense, Analysis and Response
✅ CS - Ethical Hacking ✅ From Recon to Attack
✅ CS - Vulnerability Assessment and Penetration Testing (VAPT)
✅ CS - Cyber Capstone Project
Electives:
✅ CS - Academic Masterclass
✅ CS - Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ CS - Generative AI with Cybersecurity
✅ IBM : Network Security & Database Vulnerabilities
✅ IBM : Penetration Testing, Incident Response and Forensics
👉 Learn More at: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=SITNRrcd5xo&utm_medium=Description&utm_source=youtube
Never get stuck without AI again. Run three Small Language Models (SLMs)—also called Local LLMs—TinyLlama, Gemma-3 and Phi-4-mini—completely offline; all fit in 4 GB or less and work on any laptop and older hardware.
────────────────────
🔧 Hardware & Software used
• Laptop Ryzen 5 4500U, 8GB RAM, Ollama (no GPU needed!)
• Phone iPhone 13 Pro with Mobile PocketPal AI (local GGUF)
────────────────────
🔗 Model resources
• ChatGPT global outage (news)
https://timesofindia.indiatime....s.com/etimes/trendin
• Phi-4-mini reasoning paper
https://www.microsoft.com/en-u....s/research/wp-conten
• TinyLlama 1.1 https://huggingface.co/TinyLlama/TinyLlama_v1.1
└ GGUF Q4_0 637 MB https://huggingface.co/TheBlok....e/TinyLlama-1.1B-Cha
• Gemma-3 https://huggingface.co/blog/gemma3
└ GGUF Q4_K_M 0.8 GB https://huggingface.co/Maziyar....Panahi/gemma-3-1b-it
• Phi-4-mini https://huggingface.co/microso....ft/Phi-4-mini-reason
└ GGUF Q4_K_M 2.5 GB https://huggingface.co/lmstudi....o-community/Phi-4-mi
────────────────────
🎬 More on local AI
• End of VRAM? https://youtu.be/M9ZphDPRP_w
• Is local AI image generation dying? https://youtu.be/ad7jBaNgIW8
🛠 Support the channel
Patreon https://www.patreon.com/NextTechAndAi
────────────────────
▼ Comment Poll
What would YOU use offline AI for?
#SmallLanguageModels #LocalLLM #OfflineLLM #LocalAI
Get 20% off NVIDIA certification exams using the code "TechWithTim20" from here: https://nvda.ws/46Sehq8
Today we're diving deep into one of the hottest topics in AI right now. Building actual agents in Python. Not just chat bots to respond to your queries, but autonomous systems with memory goals and the ability to take actions in the world.
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⏳ Timestamps ⏳
00:00 | AI Agents
00:37 | NVIDIA Free AI Courses
01:38 | AI Agent Building Blocks
05:30 | Python Frameworks
09:01 | Python Tools
09:40 | AI Agent Patterns
13:15 | Picking Your Stack
Hashtags
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Want to build AI agents but think you need to code? Wrong. In this video, I show you exactly how to create production-ready AI agents from scratch using three platforms: OpenAI Agent Builder, Botpress, and Zapier AI Agents.
You'll see the full workflow—from blank canvas to live agent—including:
✅ Knowledge base setup with RAG
✅ Real-time testing and deployment
✅ Multi-channel publishing (WhatsApp, Slack, web chat)
✅ Lead collection workflows
✅ Cost comparison and scaling strategies
🎯 WHAT YOU'LL LEARN:
• How to use ChatGPT to write agent prompts for you
• Setting up FAQ bots, customer support agents, and lead collectors
• Connecting knowledge bases (PDFs, websites, Notion)
• Deploying agents across WhatsApp, websites, and messaging platforms
• Why most platforms mark up LLM costs 30-50% (and how to avoid it)
• Which platform fits your use case: internal tools vs customer-facing agents
⚙️ PLATFORMS COVERED:
→ OpenAI Agent Builder: Fast setup, internal tools, shareable links
→ Zapier AI Agents: Automation workflows, trigger-based actions
→ Botpress: Production-grade agents, 190+ integrations, no LLM markup
📂 TIMESTAMPS:
0:00 — Build AI Agents Without Coding
1:09 — How to Build an AI Agent with OpenAI
3:49 — How to Build an AI Agent with Botpress
6:26 — Knowledge Base & RAG System
8:00 — Choosing Your LLM Model
8:41 — Testing & Deployment
9:11 — How to Build an AI Agent with Zapier
12:32 — Lead Collection Workflows in Botpress
15:32 — Deployment Across Channels
17:21 — Why Botpress for Production
🚀 START BUILDING TODAY:
The hardest part isn't building—it's starting. Pick one platform, sign up, and build your first agent this week. Start with a simple FAQ bot or lead collector, test it, deploy it, and scale from there.
💬 Built something cool? Tag me—I want to see it.
🔔 SUBSCRIBE for more AI tool comparisons, agent tutorials, and no-code automation workflows.
---
#AIAgents #NoCoding #ChatGPT #Botpress #Zapier #AIAutomation #CustomerSupport
A look at what Agentic AI is and then how to create an agentic AI agent using Copilot Studio then Semantic Kernel.
🔎 Looking for content on a particular topic? Search the channel. If I have something it will be there!
🤔 Due to the channel growth and number of people wanting help I no longer can answer or even read questions and they will just stay in the moderation queue never to be seen so please post questions to other sites like Reddit, Microsoft Community Hub etc.
▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
00:00 - Introduction
00:26 - Types of AI agent
05:27 - Agentic AI
09:35 - Self-improving?
11:26 - Agentic agents ARE AI agents
11:40 - Many expert agents
13:58 - Quality testing
14:56 - Creating Agentic agents
15:15 - Low code with Copilot Studio
17:43 - Using generative orchestration
20:19 - Adding triggers
22:55 - Pro code with Semantic Kernel
24:48 - Types of semantic kernel agent
26:28 - Multi-agent
28:53 - Multi-agent example code
32:25 - Viewing multi-agent interaction
34:18 - Governance
35:59 - Summary
▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Video whiteboard:
🔗 https://github.com/johnthebrit..../RandomStuff/raw/mas
► Semantic kernel agent sample repo:
🔗 https://github.com/microsoft/s....emantic-kernel/tree/
▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
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🎓 Certification Cram Videos
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🧠 Mentoring Content
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SUBSCRIBE ✅ https://www.youtube.com/channe....l/UCpIn7ox7j7bH_OFj7
#aiagents #AI #agenticai #copilotstudio #johnsavillstechnicaltraining #onboardtoazure
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai
In this webinar, you will gain an introduction to the concept of agentic language models (LMs) and their usage. You will learn about common limitations of LMs and agentic LM usage patterns, such as reflection, planning, tool usage, and iterative LM usage.
This online session will cover:
Overview of LMs
LM Usage and limitations
Retrieval Augmented Generation (RAG)
Tool usage
Agentic LMs
Agentic design patterns
About the speaker: Insop Song
Insop is a Principal Machine Learning Researcher at GitHub Next. Previously he worked at Microsoft, where he focused on leveraging machine learning and large language models to boost engineering productivity. His projects included fine-tuning open-source large language models with internal code and text, developing document assistance tools, and applying AI to various engineering tasks. He is currently a course developer as well as a course facilitator for Stanford Online’s professional AI program.
Chapters:
00:00 - Introduction
00:10 - Overview of the Talk
01:50 - Training Language Models
02:30 - Modeling Objectives
04:00 - Examples of Training Data Formatting
05:40 - Applications of Language Models
06:50 - Using API for Language Models
09:00 - Best Practices for Prompt Preparation
11:10 - Importance of Clear Instructions
13:40 - Reflection and Improvement Techniques
16:30 - Tool Usage and Function Calling
20:30 - Definition of Agentic Language Models
21:50 - Reasoning and Action in Agentic Models
24:00 - Example of a Customer Support AI Agent
29:20 - Summary of Applications
36:00 - Key Design Patterns in Agentic Models
44:00 - Summary of Agentic Language Model Usage
47:40 - Audience Q&A
50:00 - Addressing Ethical Considerations
54:50 - Getting Started with Language Models
57:00 - Resources for Staying Updated
58:20 - Closing Remarks
This Claude Code Tutorial teaches you what I wish I knew as a software developer about Claude Code before I started AI coding. Get started here: https://clau.de/kevinstratvert
You can vibe code with other tools, or you can build durable software with tools like Claude Code. First, I'll walk you through how to install it on Mac or Windows.
Next, you’ll connect Claude Code to VS Code and learn how to build your first app - including how best to structure your prompts and what details are useful for Claude to know.
You'll review Claude's Plan mode like a senior engineer and learn how to work faster once you trust the changes it makes.
Next, you'll learn how to use Claude Code with an existing codebase - focusing on how to get it to analyze your coding standards so future changes are consistent. (Heavy use of CLAUDE.md)
Finally, you’ll execute a major architecture change and learn how best to work with Claude Code throughout the process.
Host: David DeWinter
Sponsor: Anthropic
📚 RESOURCES
Commands and Prompts to Copy ➜ https://drive.google.com/drive..../folders/1ZFRZcOCfep
CLAUDE.md guidance ➜ http://humanlayer.dev/blog/wri....ting-a-good-claude-m
Claude Code Best Practices by Anthropic ➜ https://www.anthropic.com/engi....neering/claude-code-
⌚ TIMESTAMPS
0:00 - Install Claude Code
2:08 - Create New App
7:56 - Existing App
11:48 - Architecture Change
14:31 - Your Next Steps
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#stratvert #claudeai
In this video, I walk through my complete workflow for tackling large coding projects using Claude Code's plan mode. I demonstrate how to start with a rough dictated prompt, use plan mode to explore the codebase and generate clarifying questions, and break complex work into multi-phase plans that can span multiple context windows. I show my custom rules configuration that keeps plans concise and adds unresolved questions, how to monitor context usage throughout implementation, and my strategy of storing plans as GitHub issues to preserve them across context resets. This approach combines upfront planning with aggressive auto-accept during implementation phases, allowing AI to handle substantial features while maintaining control and code quality. I share practical tips including my favorite concision rule, the benefits of multi-phase planning, and how to effectively manage context windows for large projects.
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MIT 14.01 Principles of Microeconomics, Fall 2023
Instructor: Prof. Jonathan Gruber
View the complete course: https://ocw.mit.edu/14-01F23
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6
Prof. Gruber introduces the class by explaining microeconomics as the study of individuals and firms who make themselves as well off as possible in a world full of scarcity. He then explains the core concepts of supply and demand. Keywords: microeconomics, scarcity, constrained optimization, supply and demand
License: Creative Commons BY-NC-SA
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Episode Summary: MIT professor Andrew W. Lo tackles AI-assisted financial advising, healthcare, and the effect of human behavior on financial markets.
Episode Description: In this the first of two pilot episodes of Chalk Radio with VIDEO, Professor Andrew Lo, who teaches finance at MIT’s Sloan School of Management, knows that many people find financial matters perplexing and scary. Lots of us don’t have a good head for numbers, and besides, how can one get advice and make sound decisions when it’s taboo to discuss one’s finances at all? That’s where a financial advisor is useful–someone who understands the concepts, can crunch the numbers, and has a fiduciary responsibility to look out for your best interests. For many people, hiring a financial advisor might be a financial impossibility, but Prof. Lo and his colleagues are working to develop an AI financial advisor that not only gives ordinary people access to sound financial advice, but acts with real fiduciary responsibility. Large language models can’t do this yet, he says, but the technology is developing fast. Other topics he touches on in this episode include the outsized influence of finance on drug development and global decarbonization and the equally outsized influence of teachers on their students–he names many who changed his own life, from his third-grade teacher in Queens to his professors at college and graduate school.
Subscribe to Chalk Radio on podcast platforms ➜ https://chalk-radio.simplecast.com
Relevant Resources:
MIT OpenCourseWare (https://ocw.mit.edu)
The OCW Educator portal (https://ocw.mit.edu/educator)
Professor Lo’s faculty page (https://mitsloan.mit.edu/facul....ty/directory/andrew-
15.401 Finance Theory I on MIT OpenCourseWare (https://ocw.mit.edu/courses/15....-401-finance-theory-
15.481x Adaptive Markets: Financial Market Dynamics and Human Behavior on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
15.482x Healthcare Finance on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
Music in this episode by Blue Dot Sessions (https://www.sessions.blue/)
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0:01 Intro
0:51 Why Finance Matters
3:02 Inflation, and practical finance applications to mitigate rising costs
5:19 Can ChatGPT reliably plan someone's retirement?
7:54 How to deal with AI hallucinations
9:14 Financial planning - why you need to start early!
9:58 Finances - a taboo topic?
11:07 AI Finance tools and ethics
12:31 Will AI take people's jobs?
13:18 Finance for positive impact on people & healthcare - Andrew's origin story
16:47 How Finance could help Climate
18:48 'It all comes down to money'
19:22 How human behavior affects Finance
19:47 How humans react to a market crash
21:12 Andrew's Adaptive Markets Hypothesis
22:02 How can we counteract irrational human tendencies?
24:00 How Andrew makes finance accessible through his teaching
24:55 Andrew's education and identifying different types of intelligence
28:31 Andrew's learning disorder and how teachers helped him manage it
35:08 Andrew's meaningful memento
38:17 Conclusion
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If you like Chalk Radio and OpenCourseWare, donate to help keep these programs going! (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbkZsQWFIcWdoRzdTdUFuS2I2M2FqUWFDamRDZ3xBQ3Jtc0trLVdrRHdGa0FSdjNHMkNQUEdJVHhsTGdwMVJHWFVFT2N3WF94ZmxST2ZVLWR5REhubmpZckNmWHJyR3VaZFdGbE9LODNNeUQ5X25kNWtTaTFGSnVUYmo1dEFZY1hTWXdnUTctSlhBZXRpbnBsRVRvbw&q=https%3A%2F%2Fgiving.mit.edu%2Fgive%2Fto%2Focw%2F%3Futm_source%3Docw%26utm_medium%3Dpodcast%26utm_campaign%3Ddonate&v=SD-zfFTUzBs_
Credits:
Sarah Hansen, host and producer
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Jackson Maher, producer
Dave Lishansky, producer
Peter Chipman, show notes
Lecture 2: Science and Research
Instructor: John Gabrieli
View the complete course: http://ocw.mit.edu/9-00SCS11
License: Creative Commons BY-NC-SA
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More courses at http://ocw.mit.edu
MIT 6.100L Introduction to CS and Programming using Python, Fall 2022
Instructor: Ana Bell
View the complete course: https://ocw.mit.edu/courses/6-....100l-introduction-to
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6
An introduction to what computation is, python basics, mathematical operations, and python variables and types. We explore python objects and python programs.
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View course details: https://online.stanford.edu/co....urses/xcs224r-deep-r
April 2, 2025
This lecture covers:
• Class introduction
• Markov Decisions Processes
• Why study deep reinforcement learning?
• Intro to modeling behavior and reinforcement learning
To learn more about enrolling in the graduate course, visit: https://online.stanford.edu/co....urses/cs224r-deep-re
To follow along with the course schedule and syllabus, visit:
https://cs224r.stanford.edu/
Chelsea Finn
Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi.
MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
** New 2025 Edition **
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
This video introduces the syllabus and organization of the "Introduction to Deep Learning and Generative Modeling" course.
Link to the slides: https://sebastianraschka.com/p....df/lecture-notes/sta
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This video is part of my Introduction of Deep Learning course.
Next video: https://youtu.be/6VbtJ9nn5ng
The complete playlist: https://www.youtube.com/playli....st?list=PLTKMiZHVd_2
A handy overview page with links to the materials: https://sebastianraschka.com/b....log/2021/dl-course.h
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If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka
One-shot learning! In this last weekly video of the course, i'll explain how memory augmented neural networks can help achieve one-shot classification for a small labeled image dataset. We'll also go over the architecture of it's inspiration (the neural turing machine).
Code for this video (with challenge):
https://github.com/llSourcell/....How-to-Learn-from-Li
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https://arxiv.org/abs/1605.06065
https://futuristech.info/posts..../differential-neural
https://thenewstack.io/googles....-deepmind-ai-now-cap
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