
Become An Ottawa Real Estate Investor: Complete 2026 Guide
Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 3m | Size: 2.77 GB
What you'll learn
Decide with confidence which Ottawa investment strategy is actually right for YOUR life - not the guru's portfolio
Narrow Ottawa's dozens of sub-markets down to the 2-3 neighbourhoods that match your goals and budget
Run a full property analysis using Four Square, Cash-on-Cash Return, Cap Rate, and Return on Equity - in under 30 minutes, no finance background needed
Walk a property like an investor: spot the hidden upside and the deal-killers before you write an offer
Structure a competitive offer, understand your real financing options, and close your first deal without overpaying
Get your property rent-ready with targeted renovations that improve returns - without over-improving for the neighbourhood
Build a repeatable process you can use again: attract great tenants, manage effectively, and scale when you're ready
Requirements
No prior investing experience required - this course starts at zero
Basic arithmetic comfort (addition, multiplication, percentages) - all formulas are explained from scratch
An honest desire to change your financial trajectory using Ottawa real estate
Description
You already know you should be investing. The question is why you haven't.
If you're being honest, it's probably not a lack of information. There are thousands of YouTube videos, podcasts, and blog posts about real estate investing. You've probably consumed a lot of them.
What's actually in the way is something harder to admit: it feels like a game that other people are already winning, and you're not sure you have what it takes to play - or if it's too late to start.
It's not too late. And you don't need to be rich, connected, or a finance expert.
This course was built for people who live in or around Ottawa, are serious about changing their financial situation, and want a clear, honest, locally-grounded path - not hype, not generic theory, and not a pitch to buy more courses.
Why Ottawa, and why now?
Ottawa's fundamentals are unlike almost any other Canadian city: a federal government anchor, two major universities, a growing tech corridor, and consistent demand from newcomers to Canada. It isn't flashy, but real estate here has proven remarkably resilient. For an investor who wants stable cash flow over get-rich-quick speculation, that's exactly the right foundation.
Knowing that the market is solid isn't enough, though. You still need to knowwhere to buy,what to buy, andwhat to pay - and that's what this course teaches.
Who this course is for
People in Ottawa who have been "thinking about" buying an investment property for months (or years) and want to finally move
Full-time employees who want a second income stream that doesn't depend on their employer
Homeowners sitting on Ottawa equity who want to put it to work rather than let it sit
Canadians who feel financially behind their peers and want a real, tangible path forward - not theory
First-generation wealth builders who don't have family money or connections, just determination and a willingness to learn
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Aws Day 2 Operations: What You Actually Do On The Job
Published 7/2026
Created by Jai M
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 26 Lectures ( 5h 25m ) | Size: 3.3 GB
What you'll learn
Log in and operate like real companies do - using IAM Identity Center (SSO) across multiple AWS accounts with scoped roles, not root or admin
Diagnose and fix the 15 most common Day 2 incidents - from "site is down" to "the bill jumped 40%" using the systematic triage spine
Understand the operating rhythm - what you actually do daily, weekly, monthly, and quarterly on a cloud operations team
Build trustworthy monitoring - create alarms that actually fire, write log queries that find root causes, and turn findings into actionable alerts
Troubleshoot networking and security - walk the path from load balancer to database, fix security group misconfigurations, and resolve IAM access denials
Prove backups work by actually restoring them, ρá†ch fleets through maintenance windows, and triage security findings like a professional
Handle a live SEV-1 incident with chained faults under pressure - applying the entire troubleshooting toolkit in one realistic scenarioRequirements
An AWS account (free tier or sandbox) for hands-on labs. All labs use the smallest instance sizes and include cost controls and teardown instructions. You'll use Terraform to build and destroy lab environments - no prior Terraform expertise required; the course provides ready-to-run configurations. Basic familiarity with the AWS console and command line is helpful but not required; the course teaches real-world AWS CLI usage from scratch. No programming experience needed - this is operations, not development.Description
Almost every AWS course teaches you to log in as root in one account and start clicking. Then you get a real job - and none of it looks like that.
This course teaches what Day 2 actually is: the work that happens AFTER you build something. Real troubleshooting. Real incidents. The operating rhythm of daily standups, weekly patching, monthly cost reviews, and quarterly DR drills that structure the job.
Two layers, taught together
THE HUMAN LAYER - How you actually log in at work (IAM Identity Center + SSO with scoped roles). Where you sit in the org. What a day, week, month, and half-year look like on a cloud operations team. This is the differentiator - everyone teaches services; almost nobody teaches the rhythm of the job.
THE TECHNICAL LAYER - 15 hands-on troubleshooting labs, each framed as a ticket for NorthBank, a fictional bank migrating to AWS. From "the site is down (503)" to "the bill jumped 40%" to "the app can't reach the database." You'll diagnose, fix, verify, and write the post-incident review.
You'll learn the triage spine that works for any incident, build alarms that actually fire, query logs to find root causes, walk the network path to isolate faults, apply least-privilege IAM fixes, prove backups work by restoring them, and handle a live SEV-1 with chained faults.
By the end: freshers understand what day one feels like. Veterans get the operating model written down to train their teams.
Who this course is for
Freshers starting their first cloud operations, DevOps, SRE, or platform engineering role who want to know what the job actually looks like before day one. Veterans with 5-10 years of experience who want the operating model they live every day written down clearly so they can train their teams. Anyone moving from on-premises infrastructure to AWS who needs to understand how real companies operate in the cloud - not just which services exist, but how work happens day to day, week to week, and month to month.Homepage
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Claude Ai In Project Planning Scheduling & Cost Controlling
Published 7/2026
Created by Chartered Engineers
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 29 Lectures ( 4h 45m ) | Size: 8.5 GB
What you'll learn
Write engineering-grade prompts that get usable, correctly-structured controls output first time
Give Claude data properly, iterate on weak answers, and build a reusable prompt library
Draft and stress-test scope, WBS and estimates - and produce a defensible basis-of-estimate
Use advanced AI methods including chain prompting, role stacking, and iterative refinement
Turn scope into activities, interrogate schedule logic and float, and write clear schedule narratives
Model budgets, cash flow and S-curves; build risk registers; and frame qualitative and quantitative risk
Run full Earned Value analysis (CV, SV, CPI, SPI), forecast EAC/ETC/TCPI, and write honest dashboard commentary
Produce faster status reports, executive summaries, emails, minutes, and contract/change correspondence
Review and interrogate long documents and contracts, and capture lessons-learned at close-out
Run an end-to-end controls cycle on a real project with Claude as your assistant - scope through close-outRequirements
No AI or prompt engineering experience required
Basic understanding of project management concepts is helpful but not mandatoryDescription
"This course contains the use of artificial intelligence."
Claude AI in Project Planning Scheduling & Cost Controlling
You already know project controls. This course shows you how to do it faster and sharper, with Claude AI working alongside you - drafting, structuring, calculating, explaining and checking - while professional judgement and accountability stay firmly in your hands.
Most "AI for professionals" courses stop at generic tips. This one is built specifically for the controls workflow. Across40 practical lessons in 9 modules, you'll move through the entire cycle on a realistic infrastructure project: writing engineering-grade prompts; building and stress-testing scope, WBS and estimates; producing schedules and clear schedule narratives; modelling cost, cash flow and risk; running Earned Value analysis and defensible forecasts; and generating status reports, executive summaries, contract and change correspondence, and lessons-learned - then automating the repetitive parts and governing AI use across a team.
Every lesson follows the same rhythm: the underlying controls principle first, then exactly how to get Claude to do it well, then how to verify the output before you rely on it. You'll see the prompts, the expected results, and the traps - so you're never copying blindly.
This is a hands-on, professional course,not exam prep. Three principles run through all 40 lessons
Augmentation, not automation - Claude does the heavy lifting; you make the decisions.
Your tools remain the source of truth - the scheduler, the cost system and the signed contract are authoritative; Claude works on copies and drafts.
Verify by consequence - you check outputs in proportion to the risk they carry before acting on them.You finish with a repeatable, AI-assisted controls workflow - a personal prompt library, a set of mini-tools, and the judgement to use them safely - that you can put to work immediately.
What you'll learn
Write engineering-grade prompts that get usable, correctly-structured controls output first time
Give Claude data properly, iterate on weak answers, and build a reusable prompt library
Draft and stress-test scope, WBS and estimates - and produce a defensible basis-of-estimate
Turn scope into activities, interrogate schedule logic and float, and write clear schedule narratives
Model budgets, cash flow and S-curves; build risk registers; and frame qualitative and quantitative risk
Run full Earned Value analysis (CV, SV, CPI, SPI), forecast EAC/ETC/TCPI, and write honest dashboard commentary
Produce faster status reports, executive summaries, emails, minutes, and contract/change correspondence
Review and interrogate long documents and contracts, and capture lessons-learned at close-out
Build simple AI "mini-tools," connect Claude to your P6/MSP/Excel/Drive data, and set up team workflows
Apply AI governance, quality control and a human-in-the-loop checklist so AI use stays safe and accountableCourse outcomes - what you'll be able to do
By the end, you will be able to
Run anend-to-end controls cycle on a real project with Claude as your assistant - scope through close-out
Cut the time spent on reports, narratives, registers and correspondence, whileraising their quality and consistency
Catch and correct AI errors reliably, knowing exactlywhich outputs to trust and which to verify hard
Standardise your team's AI use with shared prompts, house-style instructions and clear governance
Walk away with apersonal, reusable AI-assisted workflow and prompt library tailored to project controlsCourse structure (9 modules · 40 lessons)
Foundations - what AI can and can't do in controls, and how to use it responsibly
Prompting for Project Controls - engineering-grade prompts, giving data, iterating, your prompt library
Scope, WBS & Estimating - scope statements, WBS generation and stress-testing, estimating and basis-of-estimate
Scheduling - activities, CPM and float, schedule health, acceleration, narratives
Cost, Cash Flow & Risk - budgets and phasing, cash flow and S-curves, risk registers, qualitative and quantitative risk
EVM, Progress & Forecasting - earned value, EAC/ETC/TCPI, progress and recovery, dashboard commentary
Reporting, Communication & Documents - status reports, emails and minutes, contracts and change, long-document review, lessons-learned
Automation, Integration & Governance - mini-tools, connecting your data, team workflows, governance and QC
Capstone - running the full end-to-end cycle, plus a team AI-maturity roadmapENROL TODAY
AI is rapidly changing project delivery.
The professionals who understand how to use these tools effectively will gain a substantial advantage in productivity, reporting quality, and project delivery efficiency.
Start building your AI-powered project workflow today and begin applying practical project management prompts immediately.
Who this course is for
Anyone who wants to use AI to improve project management productivity and documentation quality
Planning and project controls engineers
Project managers and assistant project managers
Civil, structural, mechanical, and MEP engineers
Contracts and commercial managers
Project controls engineers, planners, schedulers, cost engineers and project managersHomepage
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What You Will Learn
Why Take This Course?






Why Take This Course?