Generative AI Courses

Educative's Computer Science Bootcamp is a comprehensive, self-paced online program that immerses learners in essential computer science topics. Covering subjects like Python, SQL, JavaScript, and generative AI, the course offers hands-on experience with real-world applications. Designed for flexibility, it provides a project-based learning approach to equip students with practical skills for the tech industry. Before You Learn / Who This Course Is For Suitable for aspiring developers and tech enthusiasts No prerequisites required; open to beginners Ideal for those seeking a career in tech What to Expect Self-paced online learning for flexibility Hands-on projects with real-world applications Covers Python, SQL, JavaScript, and more What You'll Achieve Gain proficiency in multiple programming languages Hands-on experience with databases and web development Prepare for careers in software development

Green Bootcamps offers a Data Analyst bootcamp focusing on essential tools like Python, SQL, and machine learning. This online, self-paced program provides comprehensive training in data analysis, equipping learners with practical skills through hands-on projects and interactive modules. Participants gain insights into platforms like AWS and Tableau, enhancing their ability to leverage data effectively. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and tech enthusiasts No prerequisites required; open to all skill levels Suitable for career changers and upskillers What to Expect Self-paced online modules for flexible learning Hands-on projects using Python, SQL, and Tableau Interactive sessions on AWS and machine learning applications What You'll Achieve Comprehensive understanding of data analysis tools and techniques Practical skills for real-world data challenges

The Data Science & AI bootcamp is a comprehensive, online program that delves into statistics, data visualization, SQL, Tableau, machine learning, and artificial intelligence. This self-paced course emphasizes hands-on learning through real-world projects, equipping learners with essential skills in natural language processing and generative AI. Ideal for those looking to advance their career in data science, the bootcamp offers practical experience in the latest AI technologies. Before You Learn / Who This Course Is For Designed for both technical and non-technical learners Ideal for aspiring data scientists and analysts No prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using SQL, Tableau, and AI tools Explore machine learning and natural language processing What You'll Achieve Gain proficiency in data visualization and AI Practical skills applicable to data science careers

The Generative AI System Design course offers a comprehensive exploration of scalable AI systems using a structured framework. Delivered online, this intermediate-level course focuses on text, image, audio, and video generation. Learners engage with concepts like neural networks and transformers through hands-on activities and real-world examples. The course is designed to enhance understanding of AI system design and prepare participants for industry interviews. Before You Learn / Who This Course Is For Intermediate learners with a background in AI concepts Ideal for those pursuing AI system design roles Requires foundational knowledge of AI technologies What to Expect Online delivery with structured framework guidance Hands-on projects in text, image, speech, and video Focus on scalability and efficiency in AI systems What You'll Achieve Certificate of Completion to showcase skills Master complex generative AI design questions Prepare for AI system design interviews with confidence

Reflexive Work's AI for Business Applications is a virtual, two-week course offering six 1.5-hour sessions. Designed for non-technical professionals, it focuses on understanding AI's role in everyday work and making informed decisions about its use. The course includes optional VIP office hours for personalized guidance, ensuring practical application of the concepts learned. Before You Learn / Who This Course Is For Non-technical professionals seeking AI understanding No prior AI experience required Ideal for decision-makers and quality-focused roles What to Expect Virtual sessions over two weeks, 1.5 hours each Instructor meetings for guidance and questions Optional small-group VIP office hours What You'll Achieve Understand AI's role and impact in your work Learn to assess quality, risk, and trust Make informed AI-related decisions

The MIT Artificial Intelligence: Implications for Business Strategy online short course is a six-week, flexible program designed to help professionals understand how AI and generative technologies shape modern business. Students will explore core concepts such as machine learning, generative AI, robotics, and organizational strategy through a practical, business-focused lens, culminating in a capstone project that develops a real-world AI roadmap for their organization. Before You Learn / Who This Course Is For Business leaders and executives seeking AI strategic insight Professionals aiming to integrate AI for growth and innovation Managers who want practical understanding of generative AI and its risks What to Expect Six weeks of online, flexible learning Modules covering AI fundamentals, machine learning, generative AI, robotics, and societal impact A structured capstone project to build an AI implementation roadmap What You’ll Achieve Strategic grounding in AI and how it applies to business value Ability to lead informed, AI-driven decision-making Insights into emerging technologies and their organizational impact

The Master in Data Analytics & Science is an online program designed to equip learners with essential skills in data analysis and science. Covering Python, databases, SQL, and data visualization, this course blends theory with practical application. Learners will gain hands-on experience with tools like Tableau and Power BI, and explore advanced topics such as machine learning, deep learning, and generative AI. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and scientists Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online format with flexible learning Hands-on projects using Python, SQL, and Tableau In-depth exploration of AI and machine learning What You'll Achieve Comprehensive understanding of data analytics and science Proficiency in tools like Power BI and Tableau Skills applicable to various data-driven roles

The Master in Data Science is a comprehensive online program designed for both beginners and professionals. Participants will explore essential topics such as Python, SQL, databases, and data visualization. The course includes hands-on projects in machine learning, deep learning, and generative AI, providing a practical learning experience. Ethical considerations and data governance are also covered, ensuring a well-rounded understanding of the field. Before You Learn / Who This Course Is For Suitable for beginners and experienced professionals Ideal for aspiring data scientists and analysts No specific prerequisites required What to Expect Self-paced online learning modules Hands-on projects with real-world data sets In-depth coverage of AI and machine learning What You'll Achieve Comprehensive understanding of data science techniques Ability to use tools like Python and SQL Skills applicable to data-driven decision-making

Edureka’s six‑month Post Graduate Program in Generative AI and Machine Learning, created in collaboration with Illinois Tech, teaches Python fundamentals, machine learning, deep neural networks, natural language processing, generative models, prompt engineering, LLM‑powered application development, agentic AI, AI‑driven software engineering, and LLMOps. Students work on nine industry projects, 15 real‑world use cases and over 100 hands‑on labs, culminating in a capstone project. The program features live weekend classes, self‑paced modules, 24/7 support, career coaching, and a joint certificate, preparing graduates for roles in AI engineering and research. Before You Learn / Who This Course is For Designed for professionals with an undergraduate degree seeking to become AI engineers, ML engineers or data scientists No prior AI experience required; a strong foundation in basic programming and math is helpful What to Expect Curriculum covering Python, machine learning, deep learning, NLP, generative AI, prompt engineering, LLM application development, agentic AI, AI‑driven software engineering and MLOps Nine industry projects, 15 use cases, 100+ labs and a capstone project for hands‑on experience Live instructor‑led sessions supplemented by recorded lectures, self‑paced study materials and 24/7 support Develop competence in building and fine‑tuning generative models, large‑language‑model applications and AI agents Career assistance including webinars, résumé and LinkedIn optimization, mock interviews, one‑on‑one mentoring and access to job portals What You’ll Achieve Joint certificate from Edureka and Illinois Tech upon completion of all courses Portfolio of projects and confidence to pursue roles like generative AI engineer, prompt engineer, AI research scientist and machine learning engineer

Udemy’s Ultimate AWS Certified AI Practitioner (AIF‑C01) course prepares learners to pass the AWS Certified AI Practitioner exam. Updated for the latest AIF‑C01 objectives, it covers artificial intelligence fundamentals, machine learning, deep learning and generative AI concepts, along with hands‑on practice using AWS services like Bedrock, Amazon Q and SageMaker. Before You Learn / Who This Course Is For Aimed at professionals preparing for the AWS Certified AI Practitioner exam Beginner‑friendly – no AWS, IT or AI background needed, though some IT knowledge helps What to Expect 14 sections, 150 lectures and roughly 10 hours of on‑demand video Hands‑on labs with Bedrock, Amazon Q, SageMaker and other AWS AI services Lessons on prompt engineering, model fine‑tuning and cost management Quizzes after each section, downloadable slides and a practice exam with explanations What You’ll Achieve Proficiency in using AWS AI services to build and evaluate AI solutions Preparation and confidence to pass the AWS Certified AI Practitioner exam