Python Courses

Johns Hopkins University's self-paced online course offers an accelerated pathway to mastering Python with Generative AI. It equips learners with the skills to write, debug, and refine code using AI-driven techniques. Delivered through engaging video walkthroughs and recorded sessions, this course emphasizes hands-on practice with industry-relevant assignments, enabling students to build a professional developer environment and improve coding skills. Before You Learn / Who This Course Is For Graduates needing Python prerequisites or proficiency Researchers aiming to advance academic work with AI Professionals integrating Generative AI into workflows What to Expect Asynchronous, self-paced learning with video sessions 10+ hands-on coding assignments with real-world use cases Build an e-Portfolio to showcase AI and Python skills What You'll Achieve Certificate of Completion and 1 CEU from Johns Hopkins

The Agentic AI Certification Training Course equips learners to design, build, and deploy autonomous AI agents using cutting-edge frameworks like LangChain, LangGraph, CrewAI, and AutoGen. Over five weeks (plus bonus self‑paced modules), students engage in live sessions and hands-on projects and receive mentor guidance to master agentic architecture, multi-agent systems, retrieval-augmented generation (RAG), and AI observability. Before You Learn / Who This Course Is For AI/ML practitioners, developers, or enthusiasts seeking to specialize in autonomous agents Individuals with foundational knowledge in Python, machine learning, prompts, and generative AI Professionals aiming for roles like LLM engineer, AI agent engineer, or generative AI architect What to Expect Live instructor-led classes over five weeks, with weekend or weekday batches Hands-on projects covering agentic AI essentials, architecture, multi-agent systems, RAG, and AI observability Access to recordings, lifetime course updates, 24/7 support, quizzes, and assignments What You’ll Achieve A certificate from Edureka, along with lifetime access to the course content and updates

Edureka’s Generative AI Master’s Program is a 150-hour online curriculum designed to fast-track your expertise in generative models, data science, and agentic AI. Students will master core foundations, such as Python, machine learning, natural language processing, and deep learning, before advancing to topics like large language models, RAG, multi-agent systems, and architecture design. Students will have access to hands-on projects and more than 50 labs. Before You Learn / Who This Course Is For Individuals with some programming and machine learning foundation seeking to specialize in generative AI (even intermediate users) Professionals aiming to transition into roles like prompt engineer, AI engineer, or generative systems developer Learners who want a structured, project-driven curriculum What to Expect Integrated modules combining theory, labs, and projects spanning Python, NLP, LLMs, prompt design, and agentic systems 5+ end-to-end projects and 50+ hands-on labs to build a portfolio with real applications Flexible pacing with lifetime access to course materials and updates What You’ll Achieve Proficiency in designing prompts, building generative systems, deploying RAG pipelines, and working with agentic architectures A polished project portfolio demonstrating end-to-end GenAI applications A certification from Edureka validating your skills and enhancing market credibility

Ironhack's Data Science and Machine Learning course offers an in-depth exploration of data science fundamentals and machine learning applications. Delivered online, this course covers Python programming, data handling essentials, and foundational machine learning concepts. Through hands-on projects and expert-led instruction, learners gain practical skills applicable to real-world scenarios. Before You Learn / Who This Course Is For Open to technical and non-technical backgrounds Ideal for aspiring data scientists and analysts No prerequisites required What to Expect Online format with flexible scheduling Hands-on projects using Python and data tools Expert-led sessions for practical learning What You'll Achieve Foundational skills in data science and machine learning Proficiency in Python and data handling Applicable skills for data-driven careers

Coding Dojo's Data Science & Visualization Bootcamp is a 20-week, part-time online program. It includes a 16-week focus on data science and machine learning, followed by a 4-week specialization in data visualization using Tableau. The course covers the entire data science process, emphasizing practical application and project-based learning. Students will gain skills in data preparation, analysis, and the use of machine learning algorithms to solve complex problems. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; all levels welcome Suitable for professionals seeking career advancement in data science What to Expect 20-week part-time online format Hands-on projects and real-world applications Focus on data visualization and machine learning What You'll Achieve Portfolio of projects showcasing data science skills Comprehensive understanding of data science processes Ability to apply machine learning algorithms effectively

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

WBS Coding School offers a 10-month online Data Analytics & AI course designed for career transformation. Taught in English, this program focuses on real-world applications, providing foundational skills in SQL, Python, Tableau, and Azure cloud services. Participants engage in project-based learning, tackling hands-on projects and an integrated internship. The course includes three industry-recognized certifications, ensuring comprehensive career preparation. Before You Learn / Who This Course Is For Ideal for career starters and switchers Open to ambitious learners seeking upskilling No prerequisites; basic computer skills recommended What to Expect 10-month online program with project-based learning Hands-on projects and integrated internship Focus on SQL, Python, Tableau, and Azure What You'll Achieve Earn Python PCEP, Azure DP-900, and Tableau certifications Gain practical experience with real-world projects Enhance career prospects in data analytics

This comprehensive 12-week backend development course equips students with essential skills in NodeJs and ExpressJs. Delivered online, the program provides over 100 hours of in-class training and hands-on projects, focusing on API development, database integration, and security compliance. Students will gain practical experience through six projects and a capstone project, supported by 15 hours of mentoring and career services. Before You Learn / Who This Course Is For Ideal for aspiring Backend, NodeJs, and ExpressJs Developers JavaScript knowledge required Basic Git skills recommended; resources available for beginners What to Expect 12-week online course with live instruction 100+ hours in-class and project sessions Hands-on experience with NodeJs and ExpressJs What You'll Achieve Developed and deployed APIs with database support Backend security and version control proficiency

The Full Stack Development program is a comprehensive, 48-week course designed for beginners and professionals seeking to advance their web development skills. This online program offers extensive in-class training, mentoring, and hands-on lab sessions. Participants will learn both front-end and back-end development through structured modules, culminating in a capstone project. The course equips learners with skills necessary for roles like FrontEnd Developer and Full Stack Developer, with career management support provided until the first hiring. Before You Learn / Who This Course Is For Open to beginners and professionals Ideal for aspiring web developers No previous coding experience required What to Expect 48-week online program Hands-on projects and lab sessions Structured learning in front-end and back-end development What You'll Achieve Gain full stack development skills Prepare for roles like FrontEnd Developer Receive career management support