1-Click Free Training & "Test-Drive" Our Platform Today

People Are Much Smarter Today By Recognizing SKILLS - Not Merely Credentials - Are What Matter Now, Shifting to "Just-in-Time" Training & That’s a Good Thing!

Retail Dispensary

Community-Based Learning Made For Cannabis Lovers

Powering Community-Based Learning With All of Our BEST Training in 1-Place From "Cannabis Lovers" to Industry Pros Can Connect & Get More Educated, Much Faster.

What's Your Biggest "Cannabis Challenge"?

Our Team Divides Your Answer Into Different "Buckets & Formulate a Strategy Based-On "Crowdsourced" Community Feedback Received That'll Meet Your Needs.

What's Your Biggest "Cannabis Challenge"?

Our Team Divides Your Answer Into Different "Buckets & Formulate a Strategy Based-On "Crowdsourced" Community Feedback Received That'll Meet Your Needs.

Tell Us What's Your Biggest "Cannabis Challenge" Right Now?

Our Team Divides Your Answers Into Different "Buckets" & Formulates a Strategy Based-On "Crowdsourcing" From Our Community That'll Help Meet 100% of Your Needs.

What's Your Cannabis Expertise-Level (Mini-Quiz)

Use This "Mini-Quiz" to Determine Your Cannabis Expertise & It'll Put Everything You Know to the Test Right NOW to Learn How This Amazing Plant is Very Different.

Start "Leveling-Up" With Our Dispensary Technician Quiz

Understand Exactly What Level of "Cannabis Expertise" You Have & What You'll Need to "Level-Up" to Know Your Next-Steps That'll Continue "Next-Level" Growth. 

Let's Challenge Your Cannabis Expertise Today

Our Team Divides Your Answer Into Different "Buckets & Formulate a Strategy Based-On "Crowdsourced" Community Feedback Received That'll Meet Your Needs.

Grow Smarter & Profitably By Cultivating Your Smarts

We Help Cultivation Professionals Understand & Master Growing Practices From Start-to-Finish to Deliver Top-Shelf Cannabis Plant Within Any Growing Conditions.

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Cannabis Horticulture

Implementing Standardized Cultivation Environments Are Especially Important Since All Problems Impacts Revenue & There's Little Margin For Error At Scale.

Here's The "Faces" Of The Cannabis Industry (Retail Dispensary Agents)

Let's Train Skilled & Talented Dispensary Technicians That Drive a Higher-Quality Retail Experience That Delivers Positive Outcomes With Everyone, Every Time.

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METRC Tracking System Training

Learn How One Tool Can Manage Your Retails Dispensary Operations, Track Cannabis Taxes & Stay Compliant.

Edibles Are A HOT Topic & You Never Want To Making People Sick!

Our Cannabis Product Manufacturing & Recognized Food Safety Training Covers Everything From Topicals, Edibles to Concentrates & Formulated Products.

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Calendar & Checklist Training

Replacement Free Trial Coming Soon! It's Called "Cannabis Infused-Edible Products" (In The Meantime TRY This).

Our Biz Is Actually "Compliance" (We're Just Lucky To Sell Cannabis)

There's Always That "Un-Fun Thing" With Any Job & Our Compliance Training Provides What's REQUIRED to Be Compliant & Conduct Commercial Activities.

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COVID Cannabis Industry Safety

During COVID-19 Pandemic a 9-Letter Word Was a "Game-Changer" for Our Legal Cannabis Industry: "Essential."

Data Science = MAKE or Break eLearning

It is common to think about technology as a fast-paced field. With new products, companies, frameworks, and buzzwords, it sounds daunting to catch up. But not all motion is linear and forthright, instead, it might be more appropriate to see ourselves as fish in a school, circling one another.

Not in vain, mind you. Instead, while each of us moves fast, the collective advances steady. That is how we break new ground in a sustainable way. So as technologies flash upon our eyes, firm ideas take some time to stick. Sarkar chooses what he considers acceptable standards in next-generation algorithms.

Those tried more than once until they show clear ways to add value. Those who made the successful jump from academia to the mainstream. Can they do so in eLearning? Let’s take a look.

 

Recommendation Engine

In a way, being on top of the industry’s latest development is to surf its learning curve. When a company releases a small but noticeable feature, we can gain some small insight. Which, will inform the next one and so on.

We’ve had recommender systems for years, but the insight behind them is only popularizing now. It’s the nature of the pioneer’s trade. Technology only remains cutting edge for so long. Today we see how there really isn’t that much to them.

It’s mostly about throwing loads of user data to the blender to pour out a guess of what they might be into next. Right?

 

Popularity Meta-Rankings

Alright, there are still a few issues to polish. An automated recommendation is a sound if basic first step. But there are myriad possibilities machines can take on! They can even help us figure out what they are.

Based on a given definition of popularity, a neural network can find success factors. Which can help determine the kind of training that is most effective in eLearning, beyond a format? Is a whimsical text more memorable than a dry video? Maybe only machines can tell.

 

Deep Linking

Another age-old dissent that is earning general awareness involves the merits of supervised versus unsupervised training. The former is easy to define. The latter is some kind of utopia so we can give an Artifical Intelligence (AI) a goal, some variables, and some constraints.

Sure enough, it will find a way. But are you confident enough about what you want? Why are you hell-bent on maximizing employee retention at a dispensary?

If you are unable to realize there is more to life than this, let a machine let you see. The right approach can make data science go from insightful to enlightening, that is, among other things, the premise (and promise) behind deep learning.

 

Smart Proto-Assistants

Everyone has their version of the ideal Rosie the Robot from the Jetsons. The unanimous end game is reasonable and a system that helps us achieve the goal. Making things easier, preventing or diminishing obstacles and risk.

We are not there yet, but AI can gain higher responsibilities over time. Today’s analytics engine can give an assessment of the risk of dropping out, but in a not so distant future, it could choose the best remedial course. Then decide by itself whether to escalate the issue. And so on.

In sum, the future is hard to predict. But as time moves on, the cone of possibilities shrinks down. We may not know which feature will set the tone for the future of Moodle (Or become its deadly blow). But following the trends and compounding on the ever desirable data science skills sound like reasonable survival strategies.

Let us know what you think.