Delegation of Freelance Provider’s Expert Trainers and Consultants :
At Freelance Provider, we offer you a network of over 650 highly qualified trainer-consultants, capable of supporting you in your most specialized training needs. We rigorously select each trainer to ensure the quality and relevance of our services.
We have implemented a strict selection process to ensure that each trainer-consultant not only has the required technical skills but also the teaching capabilities suited to our clients' needs. Here's how it works:
- Technical and Pedagogical Test :
Each consultant undergoes a thorough evaluation conducted by our human resources experts and industry specialists to validate both their technical and teaching competencies.
- Contractual Commitment:
Once the selection is validated, the consultant signs a commitment charter and a service contract, ensuring total transparency in our communications and a firm commitment from both parties.
- Quality Monitoring :
The quality department then takes responsibility for the rigorous monitoring of each project, ensuring personalized support and guaranteeing alignment with training objectives, as well as client satisfaction.
Thanks to this demanding process, we deliver high-quality training while maintaining consistent excellence at every stage.
Our Training Domains
We cover 5 specialized areas to meet market requirements: Development, DevOps, Big Data, IT Operations, Security & Cybersecurity.
Introduction to Cybersecurity and Current Threats
This module provides an overview of the fundamental concepts of cybersecurity, the various types of cyber threats (malware, ransomware, phishing), and the security challenges faced by businesses. Participants will learn best practices to reduce risks and secure systems, as well as the steps involved in detecting, analyzing, and responding to incidents. This topic is ideal for those new to cybersecurity who want to understand the importance of security in today’s digital world.
Cybersecurity and Compliance : Standards and Regulations
This program covers key cybersecurity regulations and standards, such as GDPR, ISO 27001, and SOC 2 compliance. Participants will explore legal requirements, security protocols, and best practices to ensure their organization’s compliance while protecting sensitive data. This topic is designed for security officers, auditors, and system administrators who want to master regulatory aspects and implement security systems that meet recognized standards.
IT Infrastructure Security
This training focuses on infrastructure security by analyzing major threats and best practices for protecting IT systems. Participants will explore network security principles, access management, firewall configuration, and the implementation of appropriate cybersecurity measures. This topic is essential for system administrators, network engineers, and security specialists aiming to secure IT infrastructure against cyber threats and ensure business continuity.
Cloud Infrastructure and Virtualization
This program focuses on cloud infrastructure, its deployment models (IaaS, PaaS, SaaS), and virtualization technologies such as VMware and Hyper-V. Participants will learn how to design, deploy, and manage virtual environments, optimize cloud resources, and ensure the scalability and flexibility of IT systems. This topic is intended for professionals looking to master cloud environments and adopt best practices for managing cloud infrastructure.
IT Infrastructure Fundamentals and Systems Management
This course provides an overview of the key elements of IT infrastructure, including servers, networks, storage, and virtualization. Participants will learn to understand and manage IT infrastructure, cloud computing concepts, as well as best practices in system management and maintenance. This topic is suitable for beginners looking to build a solid foundation in IT infrastructure, as well as professionals seeking to refresh their knowledge of essential components.
Big Data and Machine Learning : Practical Applications
This program explores the integration of Big Data and machine learning to gain advanced insights. Participants will learn the steps involved in building a machine learning model—from data ingestion to prediction—using frameworks such as TensorFlow or Scikit-Learn. The module includes practical case studies in fields such as finance, healthcare, and marketing, helping participants understand how Big Data supports decision-making through predictive models.
Getting Started with Angular
This Angular course is designed to provide participants with a comprehensive introduction to modern web application development using Angular, one of the most popular front-end frameworks. Through a step-by-step approach, learners will explore the fundamentals of Angular, building reactive components, managing services, and integrating with APIs. The course emphasizes hands-on practice with regular exercises.
Web Development Fundamentals
The Web Development Fundamentals course provides a thorough introduction to the essential skills needed to build modern websites. It covers HTML for structuring content and CSS for styling, ensuring attractive and responsive designs. Participants will learn JavaScript to add interactive and dynamic features, along with Responsive Design techniques to make sites adaptable to various devices. The course also introduces tools like Bootstrap to streamline front-end development and touches on back-end basics, including servers, databases, and server-side languages like PHP and Node.js. Key best practices in accessibility, security, and SEO are included to help learners create efficient, user-friendly, and optimized websites.
Introduction to DevOps: Concepts and Culture
This training explores the DevOps culture and its fundamental concepts. You will learn how DevOps fosters collaboration between development and operations teams, breaking down silos and enabling continuous delivery of value. The course covers methodologies like Agile and Lean, the CALMS values (Culture, Automation, Lean, Measurement, Sharing), and DevOps practices such as small batch development, rapid feedback cycles, and continuous improvement.
SQL Databases Basics
This training on SQL databases will introduce you to the essential concepts and practices for managing and querying relational databases. It begins with an overview of database principles, including table structure, keys, and relationships. You will then learn basic SQL commands such as SELECT, INSERT, UPDATE, and DELETE to manipulate data. The course also covers joins to link tables, aggregation functions to summarize data, and subqueries for more complex analysis. By the end, you will be able to design efficient and optimized queries to extract valuable insights from databases.
Continuous Integration and Continuous Delivery (CI/CD)
This course focuses on implementing a CI/CD pipeline to automate the development workflow. You’ll learn how to configure and use tools such as Jenkins, GitLab CI, and GitHub Actions to automatically test code, continuously integrate updates, and rapidly deploy to production. Practical examples guide you through creating and optimizing pipelines, troubleshooting deployment issues, and refining processes for optimal efficiency.
Getting Started with JavaScript
This beginner JavaScript training will help you understand and use the basics of this essential web development language. You’ll start with fundamentals: syntax, data types, variables, and control structures (loops and conditionals). Then, you’ll explore functions and DOM manipulation to create interactive web pages. The course also covers an introduction to events (like clicks and user inputs) and asynchronous functions (promises and async/await) to handle real-time interactions. By the end, you’ll be able to build simple, dynamic, and interactive web applications.
Configuration Management with Ansible and Chef
In this training, you will learn to use tools like Ansible and Chef for configuration management, enabling automated deployment, configuration, and management of servers. The course covers writing configuration scripts, creating playbooks and cookbooks, managing variables and roles, and best practices for maintaining consistent and up-to-date infrastructures. You will also see how Ansible and Chef integrate within multi-cloud and multi-region environments.
Container Orchestration with Kubernetes
This advanced Kubernetes course will teach you how to build, manage, and scale containerized applications effectively. You'll learn to deploy applications within clusters, handle resources using deployments and services, set up automatic scaling policies, and ensure high availability. The training also covers persistent storage management, handling secrets and configuration files, monitoring pod health, and implementing robust disaster recovery strategies.
Infrastructure as Code (IaC) with Terraform
This in-depth Docker training will teach you how to create, manage, and deploy containers for modern applications. You’ll learn to build Docker images, write Dockerfiles, and manage volumes and networks in multi-container environments. The course also covers image optimization, managing containers in production, and integrating Docker into a CI/CD pipeline to ensure stable and consistent deployments across different environments.
Development and Deployment with Docker
This training will teach you how to use Terraform to manage and deploy infrastructure as code (IaC). You’ll learn how to write configuration files to declaratively define and provision cloud resources such as servers, databases, and networks. The course also covers version control for configurations, the use of reusable modules, and the implementation of automated workflows—enabling you to deploy consistent and reproducible infrastructure across cloud platforms.
Introduction to Big Data and Associated Technologies
This training dives deep into using Apache Spark for large-scale data analysis. Participants will learn to leverage Spark for both real-time and batch processing, manipulate data using Spark SQL, and integrate machine learning algorithms for predictive analytics. This course is designed for data analysts and Big Data engineers who want to master performance optimization and execution speed in large-scale data environments.
Big Data Analysis with Apache Spark
This module covers the fundamentals of Big Data, its key concepts, and the challenges it presents for businesses. Participants will explore commonly used tools and platforms such as Hadoop and Spark, along with Big Data architectures. The focus is on data collection, storage, and processing at scale, with practical examples of how Big Data is applied across various industries.
Version Control and Collaboration with Git
This training focuses on integrating security into DevOps practices, known as DevSecOps. You’ll learn how to analyze and secure each stage of the CI/CD pipeline, set up vulnerability scans for code and containers, and implement security best practices for infrastructure and applications. You’ll work with tools like Aqua Security and Sysdig to monitor and protect containerized environments, and learn how to identify and fix security issues before deployment to production.
DevOps Security (DevSecOps)
This Git course covers the essential skills for version control and team collaboration. You’ll learn how to use Git to manage your code history, make commits, handle branches and pull requests, and resolve code conflicts. The course also introduces collaborative workflows like GitFlow, which help structure team efforts and manage development cycles efficiently. This training is essential for DevOps teams working on collaborative projects.
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