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Why Employees Need To Enroll In NEBOSH Safety Courses
If you are a worker or an employee, you must have the necessary knowledge and abilities to aid businesses in becoming more credible. There are many methods employees can accomplish this objective. One option is to take part in the NEBOSH Safety Course in Pakistan. Through this program, people can enhance their abilities and gain knowledge. Here are the most important things that people will learn from this course.
To Identify Hazards Immediately
One of the primary reasons employees should take NEBOSH Safety Course is to enable them to recognize hazards quickly. When discussing hazards within the workplace, workers must consider many factors, including chemicals, fire, traffic, and electricity. These can have an impact on productivity and process. By taking Safety Course in Pakistan, employees can recognize these risks, which will allow them to become more secure. There are many other classes for employees; however, some employees say that registering for these courses will provide more significant advantages.
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To Evaluate and Take Control of Risks in a Proper Manner
Apart from identifying risks in the course, it will help employees assess and manage risks effectively. This is a crucial ability that employees must have to reduce the risk to your company. For instance, in construction, there are times when workers are required to complete manual tasks that can be very dangerous for novice workers. If you can evaluate and manage the risks with the help of a Safety Course training to avoid accidents, they can be prevented by taking the appropriate precautions.
To Handle Incidents Efficiently
If you are appropriately trained and have the proper understanding, accidents can be avoided when working. However, there are instances where accidents cannot be avoided. Luckily, Safety Course in Pakistan is still an option for employees, as they can understand the best practices for managing the occurrences. With the help of safety training and certification they can be protectors of many lives. If they follow the best practices and rules, they can provide a better and safe environment to workers.
To Know Their Responsibilities
Safety training doesn't just concentrate on controlling and managing unavoidable risks in the workplace. They can also assist employees in understanding their obligations better. With a better understanding of their roles, employees can perform better at work. In addition, Safety Course in Pakistan helps employees effectively manage their work, which will help improve the company's image.
To Protect the Environment
And lastly, NEBOSH courses will allow employees to take precautions to protect the environment. Specific jobs at work, particularly in construction firms, can impact environmental conditions. This is avoidable because safety training courses provide suggestions on managing proper disposal management.
All of these employees can be an asset to the company by helping them reach their goals and become more trustworthy. Many NEBOSH institute in Pakistan provides online safety classes. In the end, employees improve their reliability and become more efficient as they know they are performing in a safe environment. For more details about the course give a call at +92 334 5277400.
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MLops-zoomcamp: Free MLOps Course From DataTalks.Club
MLOps Zoomcamp
Our MLOps Zoomcamp course
Overview
Objective
Teach practical aspects of productionizing ML services — from collecting requirements to model deployment and monitoring.
Target audience
Data scientists and ML engineers. Also software engineers and data engineers interested in learning about putting ML in production.
Pre-requisites
- Python
- Docker
- Being comfortable with command line
- Prior exposure to machine learning (at work or from other courses, e.g. from ML Zoomcamp)
- Prior programming experience (at least 1+ year)
Timeline
Course start: 16 of May
Asking for help in Slack
The best way to get support is to use DataTalks.Club's Slack. Join the #course-mlops-zoomcamp channel.
To make discussions in Slack more organized:
- Follow these recommendations when asking for help
- Read the DataTalks.Club community guidelines
Syllabus
Module 1: Introduction
- What is MLOps
- MLOps maturity model
- Running example: NY Taxi trips dataset
- Why do we need MLOps
- Course overview
- Environment preparation
- Homework
Module 2: Experiment tracking and model management
- Experiment tracking intro
- Getting started with MLflow
- Experiment tracking with MLflow
- Saving and loading models with MLflow
- Model registry
- MLflow in practice
- Homework
Module 3: Orchestration and ML Pipelines
- Workflow orchestration
- Prefect 2.0
- Turning a notebook into a pipeline
- Deployment of Prefect flow
- Homework
Module 4: Model Deployment
- Three ways of model deployment: Online (web and streaming) and offline (batch)
- Web service: model deployment with Flask
- Streaming: consuming events with AWS Kinesis and Lambda
- Batch: scoring data offline
- Homework
Module 5: Model Monitoring
- Monitoring ML-based services
- Monitoring web services with Prometheus, Evidently, and Grafana
- Monitoring batch jobs with Prefect, MongoDB, and Evidently
Module 6: Best Practices
- Testing: unit, integration
- Python: linting and formatting
- Pre-commit hooks and makefiles
- CI/CD (Github Actions)
- Infrastructure as code (Terraform)
- Homework
Project
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Module 7: Processes
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- ML Canvas
- Data Landscape canvas
- MLOps Stack Canvas
- Documentation practices in ML projects (Model Cards Toolkit)
(In October)
Instructors
- Larysa Visengeriyeva
- Cristian Martinez
- Kevin Kho
- Theofilos Papapanagiotou
- Alexey Grigorev
- Emeli Dral
- Sejal Vaidya
Other courses from DataTalks.Club:
- Machine Learning Zoomcamp - free 4-month course about ML Engineering
- Data Engineering Zoomcamp - free 9-week course about Data Engineering
FAQ
I want to start preparing for the course. What can I do?
If you haven't used Flask or Docker
- Check Module 5 from ML Zoomcamp
- The section about Docker from Data Engineering Zoomcamp could also be useful
If you have no previous experience with ML
- Check Module 1 from ML Zoomcamp for an overview
- Module 3 will also be helpful if you want to learn Scikit-Learn (we'll use it in this course)
- We'll also use XGBoost. You don't have to know it well, but if you want to learn more about it, refer to module 6 of ML Zoomcamp
I registered but haven't received an invite link. Is it normal?
Yes, we haven't automated it. You'll get a mail from us eventually, don't worry.
If you want to make sure you don't miss anything:
- Register in our Slack and join the
#course-mlops-zoomcampchannel - Subscribe to our YouTube channel
Is it going to be live?
No and yes. There will be two parts:
- Lectures: Pre-recorded, you can watch them when it's convenient for you.
- Office hours: Live on Mondays (17:00 CET), but recorded, so you can watch later.
I just joined. Can I still get a certificate?
- To get a certificate, you need to complete a project
- There will be two attempts to do a project
- First: in July, second: in August
- If you manage to finish all the materials till August, and successfully finish the project, you'll get the certificate
- Sign up here: https://airtable.com/shrCb8y6eTbPKwSTL (it's not automated, you will not receive an email immediately after filling in the form)
- Register in DataTalks.Club's Slack
- Join the
#course-mlops-zoomcampchannel - Tweet about the course!
- Subscribe to the public Google calendar (subscription works from desktop only)
- Start watching course videos! Course playlist
- Technical FAQ
- For announcements, join our Telegram channel
- Leaderboard
Download Details:
Author: DataTalksClub
Source Code: https://github.com/DataTalksClub/mlops-zoomcamp