Pcep™ – Certified Entry Level Python Programmer Courses

WBS CODING SCHOOL's 10-month online Data Analytics & AI course provides the foundational skills you need to succeed through deep, comprehensive learning with a strong focus on job outcomes. Students will master essential tools like SQL, Python for data cleaning and A/B testing, Tableau for visualization, and Azure cloud services, plus grasp the fundamentals of AI as a useful tool. Before You Learn / Who This Course Is For This program is perfectly designed for career starters, ambitious switchers, and anyone looking to significantly upskill Taught in English or German What to Expect 10-months of online, project-based learning You'll master essential tools like SQL, Python for data cleaning and A/B testing, Tableau for visualization, and Azure cloud services, plus grasp the fundamentals of AI as a useful tool. Tackle real-world projects within the project-based structure Gain invaluable hands-on experience through an integrated internship. Dedicated career support to guide you What You'll Achieve Earn three industry-recognized certifications (Python PCEP, Azure DP-900, and Tableau Desktop Specialist)

The Data Analytics Bootcamp by WBS CODING SCHOOL is an online, project-based program tailored for the modern job market. Participants learn to transform raw data into actionable business insights through practical projects and expert guidance. Designed for those entering the data industry, the curriculum is regularly updated to reflect current industry standards. Before You Learn / Who This Course Is For Open to aspiring data analysts in all industries No prerequisites required Ideal for career changers and beginners What to Expect Online, project-based learning with expert instructors Hands-on projects simulating real-life work environments Regular curriculum updates to match industry trends What You'll Achieve Proficiency in data organization and analysis Skills applicable across finance, healthcare, marketing, and more Graduates can earn the official PCEP certification (Python Certified Entry-Level Programmer)

WBS CODING SCHOOL's One Year Data Science & AI Program offers a comprehensive, ten-month online training followed by a two-month internship. The course focuses on data analysis, machine learning, big data, and cloud technologies. Participants gain hands-on experience and have the opportunity to earn DP900 Azure and PCEP Python certifications. A new MacBook Air is provided for project work and remains with students post-graduation. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI specialists No prior experience required Suitable for learners seeking hands-on, practical training Taught in English and German What to Expect Ten-month intensive training with a two-month internship Hands-on projects in data analysis and machine learning Course includes a new MacBook Air for studies What You'll Achieve Prepare for the DP900 Azure and PCEP Python certifications Proficiency in data science and AI technologies Real-world experience through internship

The WBS CODING SCHOOL Data Science Bootcamp teaches students how to gather, read, interpret, manage and understand data, particularly in the context of modern business. A variety of modern technologies and computer languages crucial to Data Science are taught in depth in the curriculum. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts What to Expect Online, project-based learning format The focus of this bootcamp is more practical than theoretical. The final weeks will be dedicated to developing a real-world coding project in teams, in conditions similar to those one might expect to find in a real tech company, with the objective of creating a portfolio that students can immediately showcase to their prospective employers. The lessons taught cover a diverse set of technologies which make for the perfect springboard onto the tech scene. As students acquire a deep understanding of modern web development, they will be primed to add more technologies, languages, and frameworks What You'll Achieve Portfolio showcasing real-world coding projects Students should expect to graduate with employable skills not just in interpreting and visualizing data Graduates can earn the official PCEP certification (Python Certified Entry-Level Programmer)

WBS Coding School's AI Software Development course is an intensive program offered in a 17-week full-time or 26-week part-time format that empowers you to build intelligent, full-stack applications. Before You Learn / Who This Course Is For Ideal for aspiring software developers and tech enthusiasts No prerequisites required; open to all learners What to Expect Live instruction with hands-on projects Master the modern tech stack – including JavaScript, TypeScript, React, and Node.js – while gaining in-demand skills in integrating modern AI tools and LLMs (Large Language Models). What You'll Achieve Learn to develop real-world web applications with seamlessly integrated AI features, use AI as a co-pilot for enhanced developer productivity, and graduate with a professional portfolio that sets you apart in the future-ready job market. Optional PCEP certification (Python Certified Entry-Level Programmer) track validates your Python fundamentals, proving your problem-solving skills translate across platforms.

WBS CODING SCHOOL's Software Engineering & AI program is a one-year, fully online course designed for beginners. It offers ten months of lessons followed by a two-month internship. The program covers core programming in Python, dynamic web applications with TypeScript, and backend development using C# and ASP.NET. Students will gain expertise in building and deploying Generative AI, preparing them for careers as skilled engineers in the AI field. Before You Learn / Who This Course Is For Designed for beginners in software engineering Taught in both English and German What to Expect 100% online with live sessions Hands-on projects and coding exercises Guaranteed 2-month internship included Receive a free MacBook Air upon enrollment What You'll Achieve Acquire programming and AI deployment skills Prep for DP900 Azure Fundamentals and PCEP Python certifications

WBS CODING SCHOOL is an official AWS Partner and our AWS Cloud Computing course is designed to take you from beginner to job-ready cloud professional in 23 weeks. Whether you are switching careers, levelling up your existing tech skills or taking your very first step into the industry, this course gives you the AWS expertise, hands-on experience and industry-recognised certifications to compete in one of the world's most in-demand job markets. Before You Learn / Who This Course Is For Ideal for career switchers or skill enhancers Eligible students in Germany can fund the course through a Bildungsgutschein, covering the full cost of tuition. Flexible payment plans are also available for those self-funding. The course is delivered in English and a minimum B2 language proficiency is required to enrol. What to Expect The course is 100% online and full-time, running Monday to Friday from 9:00 to 17:30. Over 23 weeks, you will cover AWS cloud foundations, Linux, networking, security, databases, cloud architecture, systems operations, serverless computing, containers, monitoring, tooling automation, automated deployments, career development and AWS Machine Learning and AI. Learning is structured around instructor-led presentations, independent AWS labs and knowledge check quizzes — a clear and proven format that builds both real technical understanding and practical confidence. Real-world projects are embedded into the curriculum throughout, so you graduate with a hands-on portfolio that shows employers exactly what you are capable of doing. What You'll Achieve Certification is central to the program. Two industry-recognised credentials are included at no extra cost: the Linux Essentials certification, completed during the course, and the AWS Certified Cloud Practitioner, completed in your final weeks. A PCEP Python certification voucher is available post-graduation upon completing a dedicated LMS track and final quiz. Career services team is with you for 12 months after graduation, helping you develop your career strategy, optimise your applications and connect with the hiring partner network.

AWS Cloud Engineering & AI is a 42-week, full-time, 100% online course that takes you from the fundamentals to a job-ready cloud engineer. You'll build expertise across AWS, Linux, Python, Docker, Kubernetes, Terraform, CI/CD and applied AI, then design and deploy a large-scale final project. Delivered by an official AWS Partner through live, instructor-led sessions and hands-on labs, it includes 5 industry-recognised certifications and 12 months of career support. Before You Learn / Who This Course Is For Beginners and for people with a tech background who want to specialise in cloud engineering, DevOps and AI. Suits career changers moving into tech, IT and tech professionals levelling up, graduates and emerging talent, and business or operations professionals moving into a technical cloud role. No prior cloud experience is required. What to Expect Expect live, instructor-led classes Monday to Friday, hands-on labs in real cloud environments, and collaborative projects that build a job-ready portfolio. You'll finish with a large-scale final project and receive a MacBook Air, plus 12 months of career support. Eligible learners can train for €0 with a Bildungsgutschein. What You'll Achieve Graduates will be prepared for five industry-recognised certifications: Linux Essentials, AWS Certified Cloud Practitioner and AWS Certified AI Practitioner (completed during the course), plus PCEP and AWS Certified Solutions Architect – Associate (after graduation). By the end of the course, students will be able to: Design, build and operate cloud infrastructure on AWS, using core services like EC2, S3, VPC, IAM, Lambda, RDS and CloudFormation Administer Linux and work confidently on the command line Write Python for cloud scripting and automation, including AI-assisted coding with Claude Code Store, manage and query data using SQL and AWS database services Containerise applications with Docker and orchestrate them with Kubernetes Provision and manage infrastructure as code with Terraform Build CI/CD pipelines with GitHub Actions and automate delivery Set up load balancing, DNS and observability, and script operational tasks Apply AI and machine learning services on AWS Plan, build and present a large-scale, cloud-native final project for a job-ready portfolio