Python Courses

Codemify’s Machine Learning Engineer Program is a hands-on bootcamp designed for career changers seeking practical ML skills. Participants gain real-world experience through internships with U.S.-based startups and engage in intensive interview preparation. The program emphasizes building projects, training models, and deploying applications with support from live mentors, ensuring students acquire tools like Python, Pandas, and scikit-learn for real-world applications. Before You Learn / Who This Course Is For Ideal for career changers entering machine learning Open to all with no specific prerequisites Perfect for those seeking hands-on experience in ML What to Expect Internship at a U.S.-based startup for real-world experience Live mentorship and a supportive learning community Intensive interview preparation with up to six sessions weekly What You'll Achieve Proficiency in Python, Pandas, NumPy, and scikit-learn Skills in data modeling, visualization, and ML pipelines

Techademy's AI/ML Career Transition program is an online course ideal for those looking to shift careers into artificial intelligence and machine learning. The curriculum includes SQL, Python, NumPy, Pandas, as well as foundational and advanced topics in AI and ML. Delivered in a self-paced format, it combines theoretical knowledge with practical application through hands-on projects and exercises. Before You Learn / Who This Course Is For Ideal for career changers entering AI and ML fields Suitable for both technical and non-technical backgrounds No prerequisites required; open to all learners What to Expect Self-paced online format for flexible learning Hands-on projects using SQL, Python, NumPy, and Pandas Comprehensive coverage of AI and ML fundamentals What You'll Achieve Gain proficiency in AI/ML tools and methodologies Prepare for a career transition in AI and ML

CodingNomads offers a comprehensive online bootcamp designed to take learners from beginner to professional in data analysis, data science, machine learning, and AI. The program includes courses in Python, SQL, and deep learning, utilizing real-world datasets and popular tools like Numpy and Pandas. Students benefit from one-on-one mentorship, chat support, and a community of learners, with most completing the curriculum within 6-10 months, plus additional career support. Before You Learn / Who This Course Is For Open to beginners and aspiring data professionals Ideal for career changers in tech fields No prerequisites; commitment to learning required What to Expect Online, self-paced learning with flexible schedule Access to real-world datasets and tools like Numpy One-on-one mentorship and peer support channels What You'll Achieve Skills in Python, SQL, and machine learning Career mentorship to guide job transitions Potential for career advancement and salary increase

CodingNomads offers a comprehensive Data Science and Machine Learning course designed for professionals seeking to leverage Python in analyzing large datasets. This 4-month, self-paced program includes pre-recorded lectures and personalized mentorship through regular screen-sharing sessions. Participants can access assistance via chat channels and engage with a network of peers. The course emphasizes problem-solving with data science and machine learning techniques, tailored to individual tasks. Before You Learn / Who This Course Is For Designed for those with Python proficiency Ideal for data analysts and engineers Prerequisite: Python programming skills What to Expect Self-paced with pre-recorded lectures 1:1 mentor sessions for personalized guidance Collaboration through chat and peer networking What You'll Achieve Master data science and ML techniques Apply skills to real-world decision-making

CodingNomads' Deep Learning with Python course is an online, self-paced program focusing on artificial intelligence fundamentals. Students engage in hands-on projects using PyTorch, neural networks, and computer vision. The course spans approximately four months, requiring around 15 hours of study per week. Participants design, train, and evaluate their own deep learning models, gaining practical experience in AI applications. Before You Learn / Who This Course Is For Ideal for technical professionals in AI and data science Proficiency in Python and basic calculus required Targeted at learners interested in deep learning models What to Expect Self-paced online learning with flexible scheduling Hands-on projects using PyTorch and neural networks Focus on computer vision and natural language processing What You'll Achieve Develop skills in designing and evaluating AI models Gain practical experience with deep learning tools

CodingNomads' Python Bootcamp, running from June 16 to August 15, 2025, is a part-time, online program designed to teach beginners and professionals how to build programs using Python. This course includes hands-on learning in Python, SQL, APIs, Git, and more, with a blend of live lectures, 1:1 mentorship, and self-study. Participants will develop projects to enhance their portfolios and gain skills applicable to data science, machine learning, and web development. Before You Learn / Who This Course Is For Open to beginners and professionals Ideal for aspiring developers and tech enthusiasts No prerequisites required What to Expect Part-time online format with live and self-paced sessions Hands-on projects and 1:1 mentorship Covers Python, SQL, APIs, Git, and more What You'll Achieve Develop a portfolio of Python projects Gain skills in programming and database management Prepare for advanced studies in tech fields

This 10-month course transforms beginners into AI Engineers and GenAI Developers. Through live sessions and self-study, participants learn Python, backend development, and large language model integration. The program includes building retrieval-augmented generation systems and designing AI agents, with comprehensive mentorship and career support. Before You Learn / Who This Course Is For Beginners with no prior experience Aspiring GenAI Developers and AI Engineers No prerequisites required What to Expect Live sessions with industry experts Self-study and 1:1 mentoring 24/7 support and unlimited career advice What You'll Achieve Integrate LLMs like GPT-4 into applications Certification: PCEP, PCAP, IHK 'Project Manager'

Metana.io's AI and Machine Learning Bootcamp offers an immersive online experience for professionals seeking to advance in AI. The program includes comprehensive coverage of AI fundamentals, data preprocessing, predictive modeling, deep learning, NLP, and computer vision. Delivered through hands-on projects, participants apply knowledge in real-world scenarios, supported by expert instructors and a collaborative learning environment. Before You Learn / Who This Course Is For Ideal for professionals enhancing AI skills Suitable for technical backgrounds No specific prerequisites required What to Expect Interactive online format with expert instruction Hands-on projects and real-world applications Collaborative environment with networking opportunities What You'll Achieve Certificate of completion from Metana.io Skills in AI, NLP, and computer vision Foundation for AI career advancement

The Data Analytics Bootcamp is an intensive, online program designed to equip learners with essential data skills. Delivered over a flexible schedule, it covers key topics such as HTML, CSS, JavaScript, Python, SQL, PowerBI, and Tableau. The course focuses on practical, hands-on learning, enabling participants to build real-world projects and enhance their data analytics capabilities. Before You Learn / Who This Course Is For Suitable for beginners and career switchers Ideal for aspiring data analysts and developers No prerequisites required What to Expect Flexible online format with project-based learning Hands-on practice with HTML, CSS, and JavaScript Utilizes Python, SQL, PowerBI, and Tableau What You'll Achieve Gain proficiency in data analytics tools Develop skills for real-world data projects

The QA Testing Bootcamp is a comprehensive online program covering HTML, CSS, JavaScript, Python, SQL, and Selenium. Designed for both beginners and those looking to enhance their skills, this self-paced course provides hands-on projects and real-world scenarios. Participants will gain essential testing skills and apply tools effectively in a structured learning environment. Before You Learn / Who This Course Is For Ideal for beginners and career switchers No prerequisites required Suited for aspiring QA engineers What to Expect Self-paced online format Hands-on projects with real-world scenarios Focus on HTML, CSS, JavaScript, Python, SQL, Selenium What You'll Achieve Practical QA testing skills Proficiency in key testing tools Enhanced career opportunities in QA