MIT 6.622 Power Electronics, Spring 2023
Instructor: David Perreault

View the complete course (or resource): https://ocw.mit.edu/courses/6-....622-power-electronic
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The primary function of power electronic circuits is the processing and control of electrical energy. This class discusses the history, evolution, needs, and goals of power electronics.

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MIT 8.04 Quantum Physics I, Spring 2013
View the complete course: http://ocw.mit.edu/8-04S13
Instructor: Allan Adams

In this lecture, Prof. Adams introduces wave functions as the fundamental quantity in describing quantum systems. Basic properties of wavefunctions are covered. Uncertainty and superposition are reiterated in the language of wavefunctions.

License: Creative Commons BY-NC-SA
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(March 29, 2010) Stanford professor Robert Sapolsky gave the opening lecture of the course entitled Human Behavioral Biology and explains the basic premise of the course and how he aims to avoid categorical thinking.

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Learn how to talk Machine Learning with the best of them. I demystify the magic of deep learning and explain the buzz words

This video is a VERY basic introduction to deep learning. I do not delve too deeply into the specifics, rather this video is meant as a cursory overview of the concept of deep learning and how it works. In later videos, we will explore the terms introduced in this video much more.

If you enjoy this video, please subscribe. I provide all my content at no cost. If you want to support my channel, please donate via
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If there's a specific video you would like to see or a tutorial series, let me know in the comments and I will try and make it.

If you liked this video, check out www.PythonHumanities.com, where I have Coding Exercises, Lessons, on-site Python shells where you can experiment with code, and a text version of the material discussed here.

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In this video, I break down a complete AI automation full course for beginners in 2026, explaining what is AI automation and how it works. You’ll learn the fundamentals in this practical AI automation tutorial, including how AI agents fit into modern automation workflows and exactly how to get started with AI automation. Whether you're looking for a step-by-step AI automation guide or want to master AI automation for beginners, this covers everything you need to get started.

00:00 - Intro: Stop Wasting Time on Repetitive Work
00:33 - Building Your First AI Automation Agent Step by Step
01:31 - Free Base44 AI Agent Masterclass
01:55 - Chatbots vs AI Agents: The Key Difference
04:09 - Build 1: Automated Email Management Agent
06:49 - Giving Your AI Agent Custom Business Knowledge
09:41 - Build 2: Instant Lead Follow-Up Agent
10:33 - Connecting Google Sheets for Lead Data
12:22 - Build 3: Weekly Sales Reporting Agent
13:52 - Sending Automated AI Reports to Telegram
15:06 - Why Traditional Automation Builders Fail Beginners
16:40 - Integrations: Connecting Gmail, Calendar & Analytics
18:50 - Build 4: Personal AI Travel Planning Agent
20:09 - Build 5: Automated Customer Support Agent
23:22 - Advanced Features: Adding Memory to AI Agents
25:05 - Adding Conditional Logic & Decision-Making
27:09 - Conclusion: Scaling Your Automation Workflows

For inquiries: Mikey (at) ytmedia.group

Nick agreed to personally set up your Hermes agent on Orgo in a 15 min call: https://startup-ideas-pod.link/orgo_ai

I sit down with Nick from Orgo to break down exactly how to run a one-person AI agent business that can realistically clear a few million dollars a year. Nick walks through the offer, the verticals worth chasing, the full software stack, and the live setup of an agent that manages other agents. We focus on tactics over theory, with specific tools, pricing, and the playbook for landing customers as a solopreneur. By the end, anyone with solid AI fluency will have a clear path from offer design to fulfillment.

Timestamps
00:00 – Intro
02:54 – Designing the AI Agent Business Offer
06:38– Selling an AI Employee, Not an Agent
07:26 – Industries to Target (and Two to Avoid)
14:54 – Content Is Overpowered and How to Get Customers
17:51 – The Customer-Facing Tool Stack
20:49 – Building Agents Stack
25:51 – Model Picks: GPT 5.5, GLM 5.1, Kimmy, Opus 4.7
27:08 – Nick’s Stack
28:14 – Why Obsidian Is the Second Brain Layer
30:22 – Live Walkthrough: Spinning Up a Cloud Computer in Orgo
33:53 – Cloud Computers vs. Mac Minis
38:37 – Building Agents and Structuring Workspaces for Customers
43:56 – Watchdogs, Observability, and Reliability
45:28 – Closing Thoughts on the Solopreneur Era

Key Points

* Sell unlimited agents, unlimited usage, and unlimited support to remove friction; most customers actually use one to three agents.
* Avoid healthcare and finance to start; focus on legacy verticals like marketing, law, insurance, manufacturing, wholesale, and real estate.
* OpenClaw agents go for around 5K a month; Hermes agents can go for 10K a month.
* The full stack: Granola, Trello, Loom, Superhuman, Asana, Codex, Hermes, Orgo, Composio, Agent Mail, and Obsidian.
* GPT 5.5 is the recommended default model for tool calling; GLM 5.1 and Kimmy work for lighter tasks; Opus 4.7 fits long-horizon coding.
* Use agents to set up other agents — pair Cloud Code or Codex with MCPs like Perplexity, Context7, and X MCP for live docs.

Numbered Section Summaries

1. The Solopreneur Agent Opportunity I open with Nick's premise that AI fluency itself is a rare, monetizable skill. Roughly 99% of the market sits behind on AI, so anyone who can stand up Claude Code, Hermes, or OpenClaw has leverage that businesses will pay real money for. The episode is framed as a tactical A-to-Z playbook rather than an idea-of-the-week pitch.

2. The Anti-Friction Offer Nick argues the winning offer is unlimited agents, unlimited usage, unlimited monitoring, security, and ongoing changes for around 5K a month. The trick is that customers think they need 10 or 100 agents, while in reality one to three handle the bulk of the work. Removing token-talk and credit-talk preserves the magic and shortens time to yes.

3. Picking the Right Vertical Healthcare and finance get flagged as too regulated for a solo operator. Instead, Nick recommends marketing agencies, law firms, insurance agencies, manufacturers, wholesalers, and real estate. These are large legacy industries hungry to become AI native, with executive-level pain that abstracts cleanly across companies.

4. Niching Down the Right Way I push on the "diverge then converge" framework: try several verticals, see where the market pulls you, then go sub-niche by geography or by professional type (commercial real estate in Florida, matrimonial law, etc.). Going specific lets you craft an offer that makes a buyer feel personally addressed.

7. Models and Why They Matter GPT 5.5 is the recommended default for Hermes and OpenClaw because it is efficient with tool calls and the OpenAI paid plan is generous. GLM 5.1 from Z.AI is the top open-source pick for cheaper light tasks, with Kimmy close behind.

8. Live Build, Reliability, and Closing Nick walks through Orgo live: a workspace per customer, a cloud computer per agent, and a Telegram-controlled meta-agent that can install Hermes, manage 27 VMs, and patch problems on the fly. We cover MCPs that give agents up-to-date setup context the value of spawning parallel sub-agents for research, and the importance of watchdogs and email-based observability so issues get caught before customers feel them.

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Most people still use AI like a better search box, but the real shift is AI agents, systems that decide the next action, not just the next word.

I explain the difference between prompts and agents using ARR, show what’s happening “under the hood” with four roles, and map how agents adapt through an OODA loop when workflows break.

I also cover why agents fail in real life: they amplify vague thinking and bad processes, so you need a GPS check before automating anything.

The opportunity isn’t broad intelligence; it’s narrow, specific agents that solve repeated, hated tasks, as output gets cheap and judgment, taste, and standards become more valuable.

📚 Grab all of the automation blueprints and prompts for FREE on Skool: https://bit.ly/AI-Automations-Course-Skool
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Two years ago, I taught myself how to build no-code AI automations with zero technical background. Today, I’ve built multiple AI businesses, generated over $5M in revenue and helped companies, from startups to NBA teams, integrate powerful AI systems. In only 100 minutes, I break down what AI Automations are, how they work and the most popular tools to develop them. You'll find some of the most sold use cases like AI lead qualifiers, voice agents, and proposal generators. This is the exact course I wish existed when I started.

Timestamps:
0:00 - Introduction
2:26 - Why Learn AI Automation?
4:49 - What is AI Automation?
9:21 - The AI Automation Landscape
12:10 - Anatomy of an Automation
15:48 - Exploring the Ecosystem
19:01 - Foundations Recap
23:45 - What We're Building
29:00 - Build #1
51:34 - Build #2
1:22:09 - Build #3
1:30:36 - Troubleshooting & Tips
1:36:55 - How to Sell AI Automations

✅ Best AI Agent Tool is Base44 https://mikeyno-code.com/video112

✅ Claim your FREE $499 Masterclass: Build & Sell Apps, AI Agents & Websites with AI https://mikeyno-code.com/Skool-base44

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In this video, I break down a complete AI agent tutorial for beginners in 2026, explaining what is an AI agent and how it works. You’ll learn how to build an AI agent step by step, including how to build an AI agent for free using modern tools and workflows, plus how AI automation fits into building smarter systems. Whether you're looking for a practical AI agent course or want to understand how to make an AI agent for free, this guide covers everything you need to get started.

00:00 - Intro: Why AI Agents are the Future of Productivity
00:54 - Personal Assistant: Monitoring Email & WhatsApp Updates
01:33 - Getting Started: Creating Your Free Base44 Account
02:21 - Dashboard Tour: Understanding Apps vs. Superagents
03:16 - The Employee Mindset: Setting Up Background AI Work
03:31 - Building Phase: Creating Your First AI Superagent
04:13 - Prompting Mastery: Building an Email Monitoring Agent
04:59 - Connectivity: Authorizing Gmail & Google Permissions
05:50 - The Brain Tab: Controlling Your Agent’s Identity & Personality
07:39 - The Soul: Defining Decision-Making Rules for AI
08:48 - Knowledge Base: Uploading Documents & Reference Files
09:45 - Memory Systems: How Your Agent Builds Context Over Time
10:45 - Integrations Hub: Connecting Slack, Calendar & Drive
12:05 - Chat Interface: Communicating with Your AI Assistant
13:30 - Voice Interaction: Using the Microphone Command Feature
14:37 - Tasks & Automation: Scheduled vs. Event-Triggered Workflows
16:13 - External Tools: Mastering OAuth & API Connections
18:47 - Security: Managing Secrets and API Keys Safely
19:28 - WhatsApp Integration: Chatting with AI from Your Phone
21:18 - API Access: Connecting Your Agent to External Systems
22:16 - Monetization: Setting Up Stripe & Payment Integration
23:19 - Real-World Flow: Automated Email Response Drafting
24:44 - Slack Optimization: Summarizing Busy Workspace Activity
26:00 - Reporting: Generating Automated Daily Activity Summaries
27:21 - Business Use Case: Customer Support Automation
28:19 - Prompt Frameworks: Writing Instructions That Get Results
29:44 - Credit Management: Understanding Usage and Costs
30:24 - Troubleshooting: Fixing Active Tasks & Connections
31:10 - Outro: Future-Proofing Your AI-Powered Business

For inquiries: Mikey (at) ytmedia.group

Learn how to use AI tools to become more productive as a developer.

You will master AI pair programming and agentic terminal workflows using top-tier tools like GitHub Copilot, Anthropic's Claude Code, and the Gemini CLI. The course also covers open-source automation with OpenClaw, teaching you how to set up a highly customizable, locally hosted AI assistant for your development environment. Finally, you will learn how to maintain high code quality and streamline your team's workflow by integrating CodeRabbit for automated, AI-driven pull request analysis.

Some of this course is based on this article from Mrugesh Mohapatra: https://www.freecodecamp.org/n....ews/how-to-become-an

CodeRabbit provided a grant to make this course possible.
Try out CodeRabbit: https://coderabbit.link/fcc

Contents
- 0:00:00 Introduction to AI-Assisted Development
- 0:00:42 Core Fundamentals: Tokens, Context Windows, and Hallucinations
- 0:05:48 When to Use AI vs. When to Code Manually
- 0:06:57 Setting Up GitHub Copilot in VS Code
- 0:09:42 Copilot Pricing and Plans
- 0:10:18 First Steps: Ghost Text and Code Completions
- 0:13:40 Pro Tip: The Neighboring Tabs Trick
- 0:15:52 Practice Exercise: Building a To-Do App
- 0:17:15 Interaction Modes: Ask, Edit, and Agent Mode
- 0:21:44 Agent Mode: Building a Full REST API Autonomously
- 0:24:52 Repository Customization with Instruction Files
- 0:26:34 Using Participants and Slash Commands
- 0:28:34 Automated Code Reviews with CodeRabbit
- 0:30:57 Setting Up CodeRabbit for GitHub Repositories
- 0:32:03 Simulating Real-World PR Reviews and Security Fixes
- 0:37:33 Chatting with AI Directly in Pull Requests
- 0:41:12 Configuring CodeRabbit Behaviors (.yaml)
- 0:41:58 Local Reviews via the CodeRabbit CLI
- 0:48:13 Powerful Terminal AI: Claude Code vs. Gemini CLI
- 0:49:12 Claude Code: Reasoning, Thinking Modes, and Fixes
- 0:53:02 Gemini CLI: Million-Token Context and Multimodal Features
- 0:57:01 OpenClaw: Your Open-Source Personal AI Assistant
- 1:01:01 Automating Tasks with Cron Jobs and Desktop Actions
- 1:03:33 Orchestrating Your AI Workflow
- 1:08:27 Model Context Protocol (MCP): Giving AI Real-World Tools
- 1:12:40 AI Code Quality and Security Essentials
- 1:15:03 The Formula for Better Prompt Engineering
- 1:16:13 Course Recap and Final Resources

🔥Intellipaat Selenium Training: https://intellipaat.com/selenium-training/
In this selenium full course tutorial you will learn end to end about selenium. So in this selenium java tutorial we have covered the concepts right from beginning so that you can start your learning with zero knowledge on selenium.
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👉Following topics are covered in this Selenium java tutorial:
0:00 - selenium training
01:11 - what is selenium
03:10 - why selenium
05:47 - how selenium works
07:23 - components of selenium
18:07 - selenium ide
21:14 - selenium rc
22:39 - selenium grid
25:17 - selenium architecture
28:14 - downloading and installing
1:00:17 - selenium web elements
1:11:35 - element locators
1:34:12 - firebug and firepath
2:13:02 - xpath in selenium
2:41:49 - drop down web element
4:16:56 - reading text file
4:25:42 - reading excel file
4:47:10 - selenium java robot
5:25:35 - selenium project

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Are you looking for something more? Enroll in our selenium course and become a certified selenium Professional (https://intellipaat.com/selenium-training/). It is a 45 hrs instructor led Selenium training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

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Got any questions about Selenium java tutorial? Ask us in the comment section below.
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Want to build AI agents and turn them into a real income source? In this complete beginner's guide, you'll learn how to build, package, and sell AI agents—even if you're starting from zero.

AI agents are becoming one of the biggest opportunities in AI, and businesses are actively looking for ways to automate customer support, lead generation, appointment booking, sales, and other repetitive tasks.

👉 Join our AI cohort now: https://www.theiscale.com/coho....rt/cohort-details/ai

🔥 In this video, you'll learn

. What AI agents are and how they work
. How to build your first AI agent from scratch
. Which AI tools you can use to create agents
. How to find businesses that need AI agents
. How to choose profitable AI agent services
. How to price and sell your AI agents
. How to get your first AI agent client
. How to turn AI agents into a scalable business
. Common mistakes beginners should avoid

Download - https://www.theiscale.com/coho....rt/course-details/ai

Timestamp
00:00:00 - Introduction & The Rise of AI Agents
00:01:17 - What is an AI Agent?
00:02:28 - Key Course Outcomes & Portfolio Projects
00:03:44 - AI Assistant vs. AI Agent
00:07:40 - Core Components of an AI Agent
00:10:15 - AI for Everyone Cohort Program Overview
00:12:27 – Practical Project - Agent 1: Voice AI Agent for Customer Support (ElevenLabs)
00:16:55 - Voice Agent Configuration & Live Testing
00:20:48 – Practical Project -Agent 2: Business Support & Invoice Automation Agent (Zapier)
00:26:03 - Zapier Workflow Setup, Tool Integrations & Live Testing
00:34:53 - Monetization Strategy: Packaging & Scaling AI Agents
00:36:55 - 7 Proven Business Models for Selling AI Agents
00:46:38 – Practical Project - Agent 3: Startup Branding & Consultant AI Agent (n8n)
00:51:05 - Google AI Studio API Key Setup & Testing n8n Agent
00:56:14 - Practical Project - Agent 4: E-Commerce Support & Order Tracker Agent (Langflow)
00:59:03 - Installing & Initializing Langflow
01:01:24 - Building the Langflow Architecture (LLM, Knowledge Base & Memory)
01:07:28 - Playground Live Testing & Final Conclusions

Whether you're a student, freelancer, developer, creator, or complete beginner, this guide will give you a practical roadmap to start building and selling AI agents

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