Python Courses

Intellipaat's Electric Vehicle Design course offers a comprehensive deep dive into EV fundamentals, focusing on battery management systems, powertrains, motors, and charging infrastructure. This online program is ideal for engineers and enthusiasts, providing hands-on skills in designing and building electric vehicles. Learners benefit from direct mentorship by leading industry experts, ensuring practical and applicable knowledge acquisition. Before You Learn / Who This Course Is For Engineers and EV enthusiasts Ideal for aspiring electric vehicle designers No specific prerequisites required What to Expect Online, self-paced learning format Hands-on projects with industry expert mentorship Focus on EV design and building skills What You'll Achieve Proficiency in electric vehicle design and systems Skills applicable to EV industry roles

Intellipaat's Generative AI course provides an in-depth exploration of foundation models, prompt engineering, and GPT models. Delivered online, the course offers hands-on experience with tools like ChatGPT and DALL·E, guided by experienced industry professionals. Participants will engage in practical applications, enhancing their skills in building generative AI solutions for real-world scenarios. Before You Learn / Who This Course Is For Ideal for technical professionals and AI enthusiasts No prerequisites required; open to all learners Designed for those interested in AI applications What to Expect Online, self-paced learning format Hands-on projects using ChatGPT and DALL·E Guidance from industry experts and top faculty What You'll Achieve Gain practical skills in generative AI applications Apply knowledge to real-world use cases

Cyber Prep is a four-week online course introducing participants to fundamental cybersecurity concepts. Designed for those interested in cybersecurity, it covers computer hardware, operating systems, networking, Bash, and Python programming. This course provides a solid foundation and enhances readiness for the Cyber Security Professional program through hands-on, project-based learning. Before You Learn / Who This Course Is For Ideal for beginners in IT and cybersecurity No prerequisites required; open to all Recommended for aspiring cybersecurity professionals What to Expect Four-week online course with self-paced modules Hands-on projects covering networking and programming Focus on real-world cybersecurity applications What You'll Achieve Foundational knowledge in cybersecurity essentials Enhanced readiness for advanced cybersecurity courses

The Cyber Security Professional course is a part-time, 34-week online program designed to train the next generation of cybersecurity experts. Starting May 13, 2019, it immerses students in critical thinking, structured analytical techniques, and understanding attack vectors. Delivered through a blend of theoretical and practical sessions, this course equips learners with essential skills to tackle real-world security challenges. Before You Learn / Who This Course Is For Targeted at aspiring cybersecurity professionals Ideal for individuals with a passion for security No specific prerequisites required What to Expect Part-time, 34-week online immersive training Focus on practical and theoretical learning Covers attack vectors and countermeasures What You'll Achieve Gain core competencies in cybersecurity Develop skills applicable to national security roles

Pragmatic Institute offers a cohort-based program focusing on real-world application through five case studies. Classes are held twice weekly for two hours, with an additional 2-4 hours of weekly homework. This format ensures a comprehensive understanding of the subject through hands-on projects and collaborative learning. Before You Learn / Who This Course Is For Ideal for professionals seeking real-world application Open to all with a commitment to learning No specific prerequisites required What to Expect Cohort-based learning with peer collaboration Twice-weekly live sessions for interactive learning Hands-on case studies enhancing practical skills What You'll Achieve Develop critical thinking through case studies Gain practical experience applicable to real-world scenarios

Agentic AI: Intro to Agent Development is a hands-on course on building autonomous AI agents, intended for learners who already have Python, API, and backend engineering experience. The curriculum moves from foundational agent concepts to single-agent application development, then covers agents that use tools and retrieval-augmented generation (RAG), followed by more complex agent workflows. The course concludes with a capstone project focused on production-style agent deployment, giving learners practical experience applying each topic to a complete agent build. Who This Course is For Developers with basic Python skills and familiarity with AI and LLM concepts Learners experienced with REST APIs, HTTP requests, and foundational backend concepts Requires access to a development environment with an IDE, such as VS Code What to Expect Hands-on progression from agent fundamentals to single-agent application development Practice integrating tools and RAG into AI agents Capstone project focused on production-style agent deployment What You'll Achieve Understanding of AI agent fundamentals and complex agent workflows Ability to build single-agent applications using tools and RAG Capstone experience building and deploying a production-style agent

Codelabs Academy offers a comprehensive 12-week online Data Science and AI bootcamp, focusing on Python, SQL, and machine learning. Participants will develop algorithms for computer vision and natural language processing in a structured, project-based format. This intensive program prepares learners for careers in tech by providing a solid foundation in both theoretical concepts and practical skills. Before You Learn / Who This Course Is For Open to beginners and career changers No prior programming experience required Ideal for aspiring data scientists and AI professionals What to Expect Intensive, project-based online format Focus on Python, SQL, and machine learning Hands-on algorithms for vision and NLP What You'll Achieve Strong foundation in data analytics and machine learning Skills in deep learning and NLP Preparation for tech career paths

Codelabs Academy offers an intensive Data Science and AI bootcamp available online, with options for full-time (12 weeks) or part-time (24 weeks) study. The course covers Python, SQL, and machine learning, guiding learners through algorithm development for vision and NLP. Designed for those pursuing a tech career, the program combines theoretical foundations with practical applications to build essential data science skills. Before You Learn / Who This Course Is For No prior programming experience required Ideal for career changers and beginners Suitable for those exploring tech careers What to Expect Intensive online bootcamp format Hands-on projects and practical applications Covers Python, SQL, and machine learning What You'll Achieve Gain foundational skills in data analytics and AI Develop algorithms for vision and NLP

The Deep Learning with AI bootcamp at Dallas Data Science Academy offers a comprehensive online learning experience for practicing data scientists. Participants will master tools such as Python, IBM Watson Analytics, and Spark. Delivered through hands-on projects and expert-led instruction, the program equips graduates with the skills to pursue roles like Chief Data Scientist or Machine Learning Engineer. A Microsoft Deep Learning with NLP/IBM - DL with AI Certificate is awarded upon completion. Before You Learn / Who This Course Is For Designed for practicing data scientists Ideal for those seeking advanced AI roles No specific prerequisites required What to Expect Online format with expert-led instruction Hands-on projects using Python, Spark, and more Career mentoring and resume preparation included What You'll Achieve Earn a Microsoft Deep Learning with NLP/IBM Certificate Gain skills for roles like Machine Learning Engineer

The Data Analytics course offers a comprehensive, self-paced online learning experience designed for aspiring data professionals. Students will gain industry-ready skills through hands-on projects and the creation of portfolio pieces. The curriculum includes foundational statistics, SQL for database management, Python libraries, and cloud services. Learners will also explore time series and geospatial data processing while collaborating on projects using Git. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and professionals No prerequisites required; open to all learners Suitable for both technical and non-technical backgrounds What to Expect Self-paced online format for flexible learning Hands-on projects and portfolio creation Utilize Python, SQL, and cloud services What You'll Achieve Build a professional portfolio with multiple projects Master SQL, Python, and data visualization Apply skills to real-world data analysis challenges