First Look: OpenAI Codex App


First Look: OpenAI Codex App
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 29m | Size: 155 MB​

Modern development isn’t just about speed-it’s about managing work beyond interaction. This course will teach you how to use the Codex app to coordinate parallel tasks, isolate changes with Git Worktrees and review results through summaries and diffs.

What you’ll learn
AI coding tools are fast, but real engineering work often takes time and coordination. In this course, First Look: OpenAI Codex App , you’ll learn how to use Codex as a command center for long-running development tasks. First, you’ll explore ‘Projects’ and ‘Threads’ to manage work clearly. Next, you’ll use planning and Git Worktrees to run tasks in parallel and keep changes isolated. Finally, you’ll extend Codex with skills and automations to create reliable, repeatable workflows. When you’re finished, you’ll be able to coordinate parallel agent-driven development with confidence.


First Look: Google Gemma 4


First Look: Google Gemma 4
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 19m 1s | Size: 78.9 MB​

Choosing between open and closed-weight models can be overwhelming, leaving developers unsure of when the flexibility and control of open-weight models is worth the tradeoff.

What you’ll learn
Choosing between open and closed-weight models can be overwhelming, leaving developers unsure of when the flexibility and control of open-weight models is worth the tradeoff. In this course, First Look: Gemma 4, you’ll learn to evaluate and use Google DeepMind’s latest open model series for real-world AI development. First, you’ll explore what Gemma 4 is and the unique advantages open-weight models offer over closed alternatives. Next, you’ll discover the available model variants and the wide range of environments where they can be deployed. Finally, you’ll learn how to put Gemma 4 into practice through demos of its thinking, multimodal, and tool calling capabilities. When you’re finished with this course, you’ll have the skills and knowledge of Gemma 4 needed to confidently start to adopt open weight models into your AI projects.


First Look: Claude Managed Agents


First Look: Claude Managed Agents
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 22m 53s | Size: 82 MB​

Generative AI is evolving rapidly, making it difficult to determine which new tools are worth integrating into your workflow.

What you’ll learn
Generative AI is evolving rapidly, making it difficult to determine which new tools are worth integrating into your workflow. In this course, First Look: Claude Managed Agents, you’ll gain the ability to evaluate, adopt, and effectively use Claude Managed Agents in real-world scenarios. First, you’ll explore what Claude Managed Agents are, including their purpose, core workflows, and how they can enhance your existing AI-driven processes. Next, you’ll discover key considerations such as pricing, usage constraints, and platform requirements so you can make informed decisions about implementation. Finally, you’ll learn how Claude Managed Agents compare to previous versions and competing tools, along with a demonstration of their most impactful and newsworthy capabilities. When you’re finished with this course, you’ll have the skills and knowledge of Claude Managed Agents needed to confidently assess, adopt, and integrate them into your workflows or organizational strategy.


Finetuning and Customizing LLMs


Fine-tuning and Customizing LLMs
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 1h 4m | 230 MB
Instructor: Sandy Ludosky​

LLM (Large Language Model) outputs and behaviors are non-deterministic. This course will teach you fine-tuning and LLM customization in order to better match user preferences and expectations.

What you’ll learn

LLMs (Large Language Models) have general, limited knowledge and training data, and they may produce irrelevant, unsafe, or unhelpful outputs. In this course, Fine-tuning and Customizing LLMs, you’ll learn to pre-train, fine-tune and reinforce the LLM learning to maximize their capabilities and align with human preferences and expectations.

First, you’ll explore the training techniques to pre-train the models with supervised fine-tuning , prompt engineering, and reinforcement learning with human feedback. Next, you’ll explore core training techniques, including supervised fine-tuning, prompt engineering, and reinforcement learning with human feedback (RLHF) to adapt pre-trained models for specific tasks and performance goals. Finally, you’ll discover how to evaluate and optimize model performance by applying methods like parameter-efficient fine-tuning (PEFT), transfer learning, and evaluation metrics to improve model reliability and reduce bias.

When you’re finished with this course, you’ll have the skills and knowledge of fine-tuning and customizing LLMs that is needed to deliver accurate, context-aware, and human-aligned results across a wide range of AI-driven applications.

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Fine Dining and Wine Etiquettes


Free Download Fine Dining and Wine Etiquettes
Published 4/2026
Created by Sujith Soman
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 5 Lectures ( 47m ) | Size: 1.1 GB

Master fine dining, wine etiquettes, and executive presence for business meals and client interactions.
What you’ll learn
✓ Master the essentials of fine dining etiquette in professional settings.
✓ Handle awkward dining situations and etiquette slip-ups gracefully.
✓ Learn how to manage cutlery, table manners, and seating protocols with ease and focus on client conversations without being distracted by dining formalities.
✓ Understand wine pairing basics and how to order confidently at business meals and develop a confident presence at formal meals without overthinking every move.
✓ Impress clients and colleagues by demonstrating refined wine etiquette and Understand the unspoken rules of dining diplomacy in global business settings.
Requirements
● A basic understanding of English (for following instructions and examples).
● No prior knowledge of fine dining or wine etiquette is required.
● A desire to elevate your professional presence during client meals and formal events.
● An openess to understanding global practices and their significance.
Description
Are you a technically brilliant professional who finds formal business meals slightly intimidating? Do you focus more on what’s on the plate than what’s on the agenda during client dinners or corporate gatherings? You’re not alone-and this course is designed exactly for you.
"Fine Dining & Wine Etiquette for Corporate Professionals" is a practical, no-nonsense guide to help you master the unspoken rules of business dining. Whether you’re hosting a foreign delegate, attending a client lunch, or networking over a formal dinner, this course will equip you with the confidence, knowledge, and grace to shine.
Taught by an experienced hospitality educator and Michelin-star trained chef, this course breaks down everything you need to know-from using the correct cutlery and napkin etiquette, to pairing wines like a pro, managing small talk, and maintaining poise under pressure.
By the end of this course, you will
Know how to navigate multi-course meals with ease
Understand key wine etiquettes and pairing basics
Avoid common dining faux pas that hurt professional image
Build confidence in high-stakes social settings
Leave a lasting impression on colleagues and clients alike
Who should take this course?
• IT and corporate professionals who attend client-facing lunches or dinners
• Managers and team leads working with international clients or partners
• Business travelers or professionals preparing for global assignments
• Anyone looking to elevate their executive presence through refined dining skills
No prior knowledge is required-just a willingness to upgrade your social savvy.
Make every meal a business opportunity. Enroll now and transform how you dine, one elegant course at a time.
Who this course is for
■ Anyone aiming to boost their executive presence and cultural intelligence at the table.
■ Ideal for those seeking career growth by mastering the social side of business success.
■ Middle and senior-level professionals navigating client-facing roles across industries.
■ Business travelers who want to adapt confidently to diverse dining environments.
■ IT executives and team leads attending formal business dinners or international meetings.
■ Professionals who feel unsure about wine pairing, multi-course etiquette, or hosting clients.
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/fine-dining-and-wine-etiquettes


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Financial Modeling Using ChatGPT


Free Download Financial Modeling Using ChatGPT
Published 4/2026
Created by Dheeraj Vaidya, CFA, FRM
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 81 Lectures ( 15h 39m ) | Size: 17.7 GB

Master fundamental analysis & financial modeling using ChatGPT with real-world, practical applications
What you’ll learn
✓ Perform end-to-end fundamental analysis of any company using ChatGPT
✓ Build a complete 3-statement financial model in Excel from scratch
✓ Forecast revenue, costs, cash flows, and key financial metrics
✓ Use AI for deep research, data extraction, and smarter assumptions
✓ Create investor-ready dashboards, reports, and presentations
✓ Audit and validate financial models using ChatGPT for accuracy
Requirements
● Stable internet connection for uninterrupted learning and research
● Access to ChatGPT (free or paid) to complete AI-based exercises
● A computer, laptop, or tablet that can stream videos smoothly
● Microsoft Excel installed on your device to practice using financial modeling templates
Description
This course contains the use of artificial intelligence.
What if you could analyze any company, build a complete financial model, and create
investor-ready dashboards, all powered by AI?
This powerful bundle combines Fundamental Analysis using ChatGPT and ChatGPT-Powered
Financial Modeling to give you a complete, end-to-end finance skillset, designed for the
modern, AI-driven world.
You’ll start by learning how to break down a company like Netflix from scratch,
understanding its business model, industry dynamics, and financial statements. Using
ChatGPT, you’ll perform deep research, extract structured data from annual reports, and
build a professional-grade analysis framework, including ratio analysis, profitability metrics,
cash flow insights, and more.
But this is just the beginning.
You’ll then move into financial modeling, where you’ll transform insights into action. Learn
how to build a complete three-statement financial model in Excel, forecast revenues, costs,
debt, and cash flows, and even handle advanced concepts like circular references and model
validation using AI.
This bundle goes beyond theory
 Build real-world models and dashboards
 Use ChatGPT for deep research, automation, and quality checks
 Create investor-ready reports, presentations, and visual dashboards
Whether are a student, aspiring analyst, or working professional, this course teaches you
how to think like an analyst and work like one, faster and smarter with AI.
If you want to future-proof your finance skills and gain a real competitive edge, this bundle
is for you.
Don’t just learn finance. Learn how to do it 10x faster with AI. Enroll now
Who this course is for
■ Students who want to break into finance, equity research, or investment banking
■ Beginners looking to learn financial analysis and modeling from scratch using AI
■ Finance professionals who want to speed up their workflow using ChatGPT
■ Aspiring analysts who want practical, job-ready financial modeling skills
■ Anyone interested in combining finance knowledge with AI capabilities
■ Investors who want to deeply understand company fundamentals and valuations
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/financial-modeling-using-chatgpt


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Financial Mastery Of Rooftop Solar Power Projects


Free Download Financial Mastery Of Rooftop Solar Power Projects
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.40 GB | Duration: 4h 43m
Master Excel-based financial modeling: IRR, NPV, Payback & ROI analysis for profitable rooftop solar projects.
What you’ll learn

Types of Solar Systems
Concept of Net Metering and Feed In Tariff
Energy Yield Estimation
Calculation of Specific Energy Yield
Calculation of Performance Ratio
Calculation of P50, P75 and P90 Estimate
Fundamentals of Probability Exceedance
Factors of Uncertainty
Basics of Financial Terms in Solar System
NPV, LCOE, Payback Period, Incentives, Subsidies, IRR….
Calculation of Corporate Tax
Calculation of MAT
Calculation of MAT Credits
Financial Analysis of 2kW of Solar System in Excel Sheets with Energy Yield Estimation in Excel Sheet
Fundamentals of CAPEX Model
Fundamentals of OPEX/RESCO Model
Fundamentals of PPA/BOOT Model
Details Financial Modelling of 10kW of Solar System in Premium Excel Sheet considering Taxes and Depreciation of Asset for 100% Equity
Profit and Loss Account
Cash Flow Analysis
Tax Calculation
Equity IRR Calculation
NPV, Cumulative Saving Over 25 Years
Exact Payback Points
Requirements
Basic understanding of solar PV systems (recommended, not mandatory)
Familiarity with Microsoft Excel (basic operations)
Interest in renewable energy, finance, or project evaluation
Curiosity about knowledge in solar field
No prior skills are required everything is explained from basics to advance.
Description
Financial Mastery of Rooftop Solar Power Projects is a comprehensive program designed to bridge the gap between technical knowledge and financial expertise in the solar industry. This course empowers learners to master financial modeling, analyze investment feasibility, and evaluate the economic sustainability of rooftop solar power projects.Through hands-on training using premium Excel sheets, learners will perform real-time financial calculations including Net Present Value (NPV), Internal Rate of Return (IRR), Cash Flow Analysis, Cumulative Savings, Net Equity Turnaround, and Exact Payback Point estimation.By the end of this course, learners will have the confidence to assess solar projects, create investor-ready reports, and make informed decisions for profitable solar ventures.Who Should Enroll (Target Audience):Investors & Businesspersons exploring opportunities in solar energy projectsEntrepreneurs looking to start or expand a career in the renewable energy sectorSolar Technicians & Project Developers seeking financial analysis skillsStudents & Researchers working on solar energy projects and feasibility studiesJob Seekers aiming for roles in solar finance, project management, or consultingPrerequisites:Basic understanding of solar PV systems (recommended, not mandatory)Familiarity with Microsoft Excel (basic operations)Interest in renewable energy, finance, or project evaluationBenefits of the Course:Gain end-to-end knowledge of solar financial analysisLearn to use Excel-based financial models like professionals in the solar industryAbility to evaluate investment feasibility for any rooftop solar projectDevelop skills to create detailed financial reports for stakeholdersBoost your career opportunities in renewable energy finance and project developmentBecome confident in analyzing loan vs. equity structures for solar projectsCareer Opportunities After Course:Solar Financial AnalystProject Finance ConsultantRenewable Energy EntrepreneurSolar Investment AdvisorBusiness Development Manager in Solar EPC companiesResearch & Development roles in energy economicsLearning Methods:Video Lectures & Case Studies (step-by-step explanations)Hands-on Excel Sheets for financial modelingPractical Assignments to reinforce conceptsReal-World Case Studies of 10kW and 50kW rooftop solar systemsQuizzes & Self-assessments to test your knowledgeCourse Syllabus Overview:Module 1: Introduction to Solar Financial AnalysisBasics of rooftop solar project economicsKey financial parameters and terminologyModule 2: Investment Structures100% Equity Financing ModelLoan + Equity Hybrid Financing Models (25%-75%, 50%-50%)Module 3: Financial Modelling in ExcelInitial Parameters FormulationCash Flow AnalysisProfit and Loss AccountTaxable Income and Tax CalculationModule 4: Advanced Financial CalculationsNet Present Value (NPV)Internal Rate of Return (IRR)Cumulative Savings over 25 YearsNet Equity Turnaround AnalysisExact Payback Point CalculationDebt Service Coverage Ratio (DSCR)Module 5: Case Studies & Final ProjectCase Study: 10kW Rooftop Solar Plant (Equity Model)Final Master Excel Sheet DevelopmentWhy This Course?Solar power is not only an energy solution but also an investment opportunity. This course transforms learners into professionals capable of evaluating, presenting, and executing solar projects with strong financial foundations – a must-have skill in the booming renewable energy sector.By completing this course, you will hold the tools and confidence to conduct financial analysis for rooftop solar projects of any scale and become a valuable asset in the green economy.
Investors & Businesspersons exploring opportunities in solar energy projects,Entrepreneurs looking to start or expand a career in the renewable energy sector,Solar Technicians & Project Developers seeking financial analysis skills,Students & Researchers working on solar energy projects and feasibility studies,Job Seekers aiming for roles in solar finance, project management, or consulting,Solar Installers,Mechanical Students,MBA Students,Finance Students
Homepage
Code:Copy to clipboard

https://www.udemy.com/course/a-to-z-financial-analysis-of-rooftop-solar-power-plant/


Code:Copy to clipboard

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Financial Literacy: Finding Your Way in The Financial Markets


Financial Literacy: Finding Your Way in the Financial Markets
MP4 | Duration: 11:50:58 | English | 7320.9 MB​

Take better advantage of the markets and build your personal wealth with this course that connects the larger world of finance to the everyday investment decisions you engage in.

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https://rapidgator.net/file/026364b10f0c927cf783b5487f71ec2b/The.Great.Courses.Plus..Financial.Literacy.Finding.Your.Way.In.The.Financial.Markets.2013.BOOKWARELERNSTUF.part01.rar
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Financial Engineering and Artificial Intelligence in Python


Financial Engineering and Artificial Intelligence in Python
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 20h 3m | 6.09 GB
Created by Lazy Programmer Team​

Financial Analysis, Time Series Analysis, Portfolio Optimization, CAPM, Algorithmic Trading, Q-Learning, and MORE!

What you’ll learn

Forecasting stock prices and stock returns
Time series analysis
Holt-Winters exponential smoothing model
ARIMA
Efficient Market Hypothesis
Random Walk Hypothesis
Exploratory data analysis
Alpha and Beta
Distributions and correlations of stock returns
Modern portfolio theory
Mean-Variance Optimization
Efficient frontier, Sharpe ratio, Tangency portfolio
CAPM (Capital Asset Pricing Model)
Q-Learning for Algorithmic Trading

Requirements

Decent Python coding skills
Numpy, Matplotlib, Pandas, and Scipy (I teach this for free! My gift to the community)
Matrix arithmetic
Probability

Description

Have you ever thought about what would happen if you combined the power of machine learning and artificial intelligence with financial engineering?

Today, you can stop imagining, and start doing.

This course will teach you the core fundamentals of financial engineering, with a machine learning twist.

We will cover must-know topics in financial engineering, such as:

Exploratory data analysis, significance testing, correlations, alpha and beta
Time series analysis, simple moving average, exponentially-weighted moving average
Holt-Winters exponential smoothing model
ARIMA and SARIMA
Efficient Market Hypothesis
Random Walk Hypothesis
Time series forecasting ("stock price prediction")
Modern portfolio theory
Efficient frontier / Markowitz bullet
Mean-variance optimization
Maximizing the Sharpe ratio
Convex optimization with Linear Programming and Quadratic Programming
Capital Asset Pricing Model (CAPM)
Algorithmic trading
Statistical Factor Models
Regime Detection with Hidden Markov Models

In addition, we will look at various non-traditional techniques which stem purely from the field of machine learning and artificial intelligence, such as:

Regression models
Classification models
Unsupervised learning
Reinforcement learning and Q-learning
Algorithmic trading (trend-following, machine learning, and Q-learning-based strategies)
Statistical factor models
Regime detection and modeling volatility clustering with HMMs

We will learn about the greatest flub made in the past decade by marketers posing as "machine learning experts" who promise to teach unsuspecting students how to "predict stock prices with LSTMs". You will learn exactly why their methodology is fundamentally flawed and why their results are complete nonsense. It is a lesson in how not to apply AI in finance.

As the author of ~30 courses in machine learning, deep learning, data science, and artificial intelligence, I couldn’t help but wander into the vast and complex world of financial engineering.

This course is for anyone who loves finance or artificial intelligence, and especially if you love both!

Whether you are a student, a professional, or someone who wants to advance their career – this course is for you.

Thanks for reading, I will see you in class!

Suggested Prerequisites:

Matrix arithmetic
Probability
Decent Python coding skills
Numpy, Matplotlib, Scipy, and Pandas (I teach this for free, no excuses!)

Who this course is for:

Anyone who loves or wants to learn about financial engineering
Students and professionals who want to advance their career in finance or artificial intelligence and machine learning

More Info

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Filter and Sort Data with TSQL


Filter and Sort Data with T-SQL
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 38m | Size: 284 MB​

Datasets often contain millions of records. Analyzing that data requires breaking it down into meaningful parts. This course will teach you how to refine data using criteria filters, sorting, and portions of the whole dataset with T-SQL.

What you’ll learn
Organizing large datasets into meaningful, manageable pieces is foundational to successful data analysis.
In this course, Filter and Sort Data with T-SQL, you’ll gain the ability to filter and sort data effectively to uncover insights and improve query performance.
First, you’ll explore how to filter data using specific parameters, ranges, and NULL values, including special considerations when working with NULL.
Next, you’ll discover how to filter based on partial field values and patterns, such as finding all names that begin with a certain letter or contain a specific substring.
Finally, you’ll learn how to return subsets of data, a key technique for paging through large record sets in applications and websites.
When you’re finished with this course, you’ll have the skills and knowledge of filtering and sorting data with T-SQL needed to organize and refine datasets, analyze data validity, and write dynamic queries that return targeted portions of your data.