Machine Learning Courses

The Agentic AI Bootcamp offers a comprehensive exploration of building AI agents using Spring Boot and Spring AI. Delivered online, this project-based course immerses students in the latest LLM technologies, including ChatGPT, Claude, and DeepSeek. Participants develop essential skills in prompt engineering, Retrieval-Augmented Generation, Model Context Protocol, and vector store integration, culminating in a capstone project that synthesizes these advanced concepts into a functioning AI agent. Before You Learn / Who This Course Is For Ideal for aspiring AI developers and tech enthusiasts Suitable for those familiar with basic programming concepts No prior AI experience required, just a keen interest in technology What to Expect Online, project-based learning format Hands-on practice with LLM technologies like ChatGPT Capstone project building a functional AI agent What You'll Achieve Gain skills in prompt engineering and vector store integration Build a fully functional AI agent as a capstone Enhance career prospects in AI development

The Data Incubator offers a comprehensive online course providing hands-on experience in Python and essential data science tools. Students will explore Pandas, Jupyter Notebooks, NumPy, Machine Learning, SQL, and Object-Relational Mapping. Designed by industry experts, this course is delivered through practical projects and expert-led instruction, ensuring a deep understanding of data science applications. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts Suitable for technical and non-technical backgrounds No prerequisites; basic programming knowledge beneficial What to Expect Self-paced online format with flexible scheduling Hands-on projects using Python and data tools Access to expert-led instruction and peer collaboration What You'll Achieve Gain proficiency in Python and data science tools Develop skills in machine learning and data analysis Enhance career prospects in data-driven roles

Kal Academy’s Artificial Intelligence Bootcamp offers a comprehensive, self-paced online learning experience focusing on Python, machine learning, and deep learning foundations. This course provides hands-on laboratory-based training in robotics and natural language processing, preparing students with essential AI skills. Participants engage in practical exercises to solidify their understanding of regression techniques and other key AI concepts. Before You Learn / Who This Course Is For Designed for aspiring AI professionals and enthusiasts Suitable for both technical and non-technical backgrounds No prerequisites required, open to all learners What to Expect Self-paced online format with flexible learning schedule Hands-on practice with Python and machine learning tools Laboratory-based training in robotics and AI applications What You'll Achieve Gain foundational skills in AI and robotics Practical experience with machine learning techniques

The Artificial Intelligence and Advanced Data Analytics bootcamp is an online, self-paced course designed to equip learners with essential skills in Python, SQL, and data science. Participants will explore data visualization, machine learning, artificial intelligence, digital marketing, and cloud computing through a hands-on, project-based approach. This comprehensive program aims to provide practical knowledge applicable to real-world scenarios, enhancing career opportunities in technology and data-driven roles. Before You Learn / Who This Course Is For Suitable for both technical and non-technical individuals Ideal for aspiring data scientists and analysts No prerequisites required; open to all learners What to Expect Self-paced online learning format Hands-on projects in Python, SQL, and machine learning Integration of AI and data visualization techniques What You'll Achieve Certificate of completion showcasing expertise Practical skills in data analytics and AI Enhanced career prospects in tech and data fields

CU-401PY is an online course designed to advance Python skills through professional-grade app development. Students will learn essential software development techniques and engage with career development resources to prepare for job searches. The course offers a mix of self-paced learning and hands-on projects, ensuring practical application of skills. Before You Learn / Who This Course Is For Aspiring software developers seeking advanced Python skills Ideal for those pursuing a career in tech No specific prerequisites required What to Expect Self-paced online format with hands-on projects Focus on professional software development techniques Career development resources included What You'll Achieve Enhanced Python development skills Portfolio of professional-grade apps Preparation for tech job searches

Washington Tech University's CU-401PY course is a part-time program held on nights and weekends, focused on developing professional-grade applications in Python. It emphasizes advanced software development techniques and includes a career development curriculum to prepare students for job searches. The course is delivered through project-based learning and hands-on practice, ensuring participants gain practical experience in building robust applications. Before You Learn / Who This Course Is For Ideal for aspiring Python developers Targeted at career switchers and professionals No prerequisites required What to Expect Part-time, nights and weekends schedule Project-based learning with hands-on practice Career development sessions included What You'll Achieve Proficiency in building professional-grade Python applications Enhanced job readiness and career prospects

This advanced course focuses on equipping professionals with essential skills in machine learning, statistics, and MLOps, delivered through a structured, online format. Participants will prepare for the CompTIA DataX certification, gaining expertise in data-driven solutions through hands-on projects and scenario-based learning. Designed for experienced professionals, this course offers a deep dive into advanced statistical methods and practical machine learning applications, ensuring readiness for senior roles in data science. Before You Learn / Who This Course Is For Data scientists and machine learning engineers with 5+ years experience Ideal for technical leads seeking leadership roles Prerequisites: Experience in data science or related fields What to Expect Online, self-paced learning with hands-on projects Advanced statistical analysis and machine learning techniques Preparation for CompTIA DataX certification with scenario-driven learning What You'll Achieve Advanced skills in statistical analysis and MLOps Eligibility for CompTIA DataX certification

Atlas School's Machine Learning Program offers a comprehensive online learning experience focused on building machine learning models from the ground up. Students will engage with tools like Numpy, Tensorflow, and Keras, applying them to real-world scenarios. The program emphasizes hands-on learning with practical exercises in deep learning, data management, and dataset handling, preparing students for careers in AI and data science. Before You Learn / Who This Course Is For Aspiring machine learning engineers and data scientists Ideal for those seeking roles in AI and data fields No prerequisites; beginners welcome What to Expect Self-paced online format with comprehensive modules Hands-on projects using Tensorflow and Keras Focus on real-world applications and data management What You'll Achieve Skills in building machine learning models Preparation for roles like AI Engineer or Data Scientist

Code First Girls' Data Career Pathway is a comprehensive online program designed for those seeking to enter the data field. This self-paced course covers essential topics such as SQL, APIs, JavaScript, React, and advanced tools like Tableau and PowerBI. Students engage in project-based learning to master data visualization, machine learning, and data analysis, providing a practical foundation for a successful career in data science. Before You Learn / Who This Course Is For Aspiring data professionals and career changers Ideal for beginners and intermediate learners No prerequisites required; open to all backgrounds What to Expect Self-paced online learning format Project-based approach with real-world scenarios Covers SQL, APIs, JavaScript, and more What You'll Achieve Gain proficiency in data visualization tools Develop skills in machine learning and data analysis Prepare for data-centric career opportunities

This course trains students to use AI for data analytics through a comprehensive online platform. Participants will learn essential AI tools and techniques for analyzing data effectively. The course is delivered through project-based learning, ensuring practical skill development. Before You Learn / Who This Course Is For Open to both technical and non-technical learners Ideal for data enthusiasts and professionals No prerequisites required What to Expect Self-paced online format for flexibility Hands-on projects with real-world data sets Interactive modules with AI tools What You'll Achieve Practical AI data analytics skills Enhanced ability to interpret and analyze data