Machine Learning Courses

BrainStation’s Artificial Intelligence Certification (AIC™) is an online, non-technical program that explores AI and generative AI, including LLMs like ChatGPT. Designed for learners from diverse backgrounds, it covers AI fundamentals, LLM concepts, and prompt engineering. Students engage in projects using real-world case studies to integrate AI into tasks like content creation and data analysis. Experienced professionals lead the course, emphasizing ethical considerations and practical applications. Before You Learn / Who This Course Is For Open to all backgrounds, no technical experience required Ideal for those curious about AI applications Suitable for learners interested in AI fundamentals What to Expect Online delivery with hands-on projects Focus on AI, LLMs, and practical workflows Real-world case studies and ethical considerations What You'll Achieve Portfolio piece demonstrating AI application skills Understanding of AI and machine learning fundamentals

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 is an online, self-paced program designed for aspiring data professionals. It focuses on tapping into data insights, predicting trends, and building AI models. The course offers practical learning through hands-on projects, preparing students for roles such as Junior Data Scientist, ML Engineer, or NLP Engineer. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and engineers Open to both technical and non-technical backgrounds No specific prerequisites required What to Expect Self-paced online learning format Hands-on projects in AI and data prediction Explore specializations like NLP and Computer Vision What You'll Achieve Skills in AI model building and data analysis Preparation for roles like ML Engineer, NLP Engineer

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

The Sensor Fusion Engineer Nanodegree program is an online, self-paced course designed to teach the fundamentals of sensor fusion and perception for self-driving cars. Through four comprehensive courses, students engage in project-based learning to master essential skills for the autonomous vehicle industry. The program provides hands-on experience with industry-standard tools and techniques, ensuring learners gain practical knowledge applicable in real-world scenarios. Before You Learn / Who This Course Is For Designed for aspiring engineers in autonomous vehicles Ideal for learners with programming experience No specific prerequisites required What to Expect Self-paced online learning format Project-based assignments using real-world data Hands-on practice with sensor fusion techniques What You'll Achieve Gain competencies in sensor fusion for autonomous vehicles Acquire skills applicable to the automotive industry

The AI & ML Program is designed to enhance your career by equipping you with essential technical skills, leadership abilities, and a robust portfolio. This online, self-paced course offers in-depth training in artificial intelligence and machine learning, focusing on real-world applications. Through project-based learning, participants will gain hands-on experience essential for securing top positions in leading companies. Before You Learn / Who This Course Is For Suitable for technical professionals and aspiring leaders Ideal for those seeking roles in AI and ML No specific prerequisites required What to Expect Self-paced online learning format Project-based activities for real-world experience Focus on AI and ML applications What You'll Achieve Develop a comprehensive portfolio Gain leadership and technical skills Prepare for top industry roles

Flatiron School's AI and Data Science Bootcamp is an immersive, online program that equips students with essential skills in AI and data science. Covering Python, cloud computing, and machine learning, the course is designed for those aiming to enter tech roles like AI Engineer and Data Scientist. Through project-based learning, participants gain hands-on experience with neural networks and natural language processing, preparing them for dynamic tech careers. Before You Learn / Who This Course Is For Aimed at aspiring AI Engineers and Data Scientists Ideal for those interested in data roles No specific prerequisites required What to Expect Online, immersive bootcamp with project-based learning Covers Python, cloud computing, and machine learning Hands-on experience with neural networks What You'll Achieve Prepare for roles like Data Scientist and BI Analyst Gain practical skills in generative AI and NLP

Flatiron School's AI Engineering Immersive is an 18-month work-integrated program designed for individuals without prior development experience. Participants receive a foundation in Software Engineering and AI, alongside a paid apprenticeship starting in the fifth month. This blend of coursework and real-world experience equips learners with practical skills and a professional portfolio, making the program cost-effective by offsetting tuition with apprenticeship earnings. Before You Learn / Who This Course Is For No development experience required Ideal for career switchers and beginners Suited for individuals seeking hands-on learning What to Expect 18-month program with structured coursework 20 hours/week practical work experience Paid apprenticeship starting in month 5 What You'll Achieve Verified production experience and professional portfolio Skills in Software Engineering and AI Potential to offset tuition costs with earnings