ChatGPT Courses

The AI Productivity for Professionals course provides a comprehensive, hands-on learning experience that equips professionals to use modern AI tools confidently and responsibly in everyday work—without requiring any coding or technical background. Delivered live online over 6 weeks, with two 3-hour instructor-led sessions each week, the course combines live demonstrations, guided practice, hands-on exercises, and real-world business use cases. Participants will develop practical skills in prompt engineering, AI-assisted writing, document workflows, research, productivity, automation, multimodal AI, and AI agents, while building reusable workflows they can immediately apply in their professional roles. Before You Learn / Who This Course Is For Business professionals, managers, marketers, educators, consultants, analysts, entrepreneurs, and team members Ideal for anyone looking to improve productivity, communication, research, creativity, and workflow automation with AI No coding, data science, or machine learning experience required What to Expect Live, instructor-led online sessions with practical demonstrations and guided exercises Hands-on learning using leading AI tools including ChatGPT, Claude, Gemini, Canva, NotebookLM, Zapier, Make, and other AI productivity platforms Real-world workplace scenarios focused on practical application rather than technical theory Development of reusable prompts, workflows, and AI-assisted work practices throughout the course What You'll Achieve Confident use of modern AI tools for everyday professional tasks Mastery of prompt engineering, AI-assisted writing, research, document analysis, and multimodal content creation Ability to build simple AI-powered workflows and productivity automations Understanding of responsible AI practices, including output verification, privacy, security, and effective AI workflow design

The AI Evals Certification by Product School is an online program designed for Product Managers to ensure AI product reliability. This course provides frameworks and playbooks to assess AI systems beyond mere accuracy, focusing on trust and safety. Through practical activities, learners will design evaluation suites and integrate responsible AI practices into product pipelines, equipping them to lead confidently in AI-driven environments. Before You Learn / Who This Course Is For Designed for Product Managers in tech industries Ideal for those leading AI product teams No specific prerequisites required What to Expect Online, self-paced learning with practical exercises Hands-on creation of evaluation suites and failure mode analyses Focus on AI trust, safety, and ethical practices What You'll Achieve Gain frameworks for AI product reliability Develop skills to embed responsible AI practices Prepare portfolio-ready artifacts for career advancement

The AI Product Strategy Certification by Product School equips senior product professionals with the strategic vision needed to lead in the AI era. This course focuses on developing defensible AI product strategies rather than merely integrating features. Participants will learn to navigate model commoditization, manage unit economics, and align the C-suite with high-stakes visions. Delivered through a strategic framework, this course enables learners to create AI Strategic Roadmaps and Governance Frameworks, transforming them into executive leaders. Before You Learn / Who This Course Is For Designed for senior product professionals Ideal for those leading AI initiatives No prerequisites required What to Expect Strategic framework-focused learning Emphasis on AI Value Archetypes and business model design Board-ready roadmap creation What You'll Achieve AI Strategic Roadmap and Governance Framework Skills in AI product strategy leadership

Product School's Advanced AI Agents Certification is an online course designed for Product Managers. It focuses on mastering agentic systems and transforming product capabilities through adaptive decision-making and autonomous task execution. Participants will engage in project-based learning, designing scalable agent patterns and implementing multi-agent workflows. The course also emphasizes safety practices and deployment strategies necessary for launching agents responsibly. Before You Learn / Who This Course Is For Designed for Product Managers No prerequisites; open to all experience levels Ideal for those interested in AI and product development What to Expect Online course with project-based learning Focus on scalable agent patterns and multi-agent workflows Emphasis on governance and safety practices What You'll Achieve Production-ready agent blueprints and deployment strategies Skills in adaptive capabilities and risk mitigation Ability to lead AI-driven product transformations

Colaberry's Data Science program is designed for aspiring data scientists seeking essential skills. This comprehensive program includes three 8-week courses covering Python, machine learning fundamentals, and advanced mathematics and statistics. Students benefit from hands-on learning and receive one year of on-the-job support after graduation, ensuring they are well-prepared for the data science field. Before You Learn / Who This Course Is For Aspiring data scientists seeking foundational skills Ideal for learners with analytical interest No specific prerequisites required What to Expect Structured into three 8-week courses Hands-on learning with Python and machine learning Includes advanced math and statistics training What You'll Achieve Receive one year of on-the-job support Gain essential data science skills Prepare for a career in data science

Colaberry's Job Readiness Program offers a unique, asynchronous online experience designed to accelerate careers in the BI industry. Participants engage in hands-on projects, receive industry mentorship, and undergo mock interviews to enhance their skills. The program focuses on preparing learners for Data Analytics roles, with no scheduled classes, enabling flexible learning through lesson and lab completion. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and BI professionals No prerequisites required Suited for those seeking career advancement in Data Analytics What to Expect Asynchronous online format with flexible schedule Hands-on projects and industry mentorship Mock interviews and resume crafting guidance What You'll Achieve Enhanced skills for Data Analytics roles Insights into resume and interview preparation

4Geeks Academy's Applied AI course is a six-week online program designed for professionals seeking to integrate AI into their current roles. The course provides a comprehensive understanding of generative AI, focusing on context, prompts, and models. Delivered through hands-on projects and expert instruction, participants will learn to strategically implement AI to enhance workplace capabilities. Before You Learn / Who This Course Is For Professionals seeking to leverage AI in current roles No prerequisites; open to all skill levels Ideal for those interested in AI strategy What to Expect Six weeks of online, structured learning Hands-on projects with real-world AI applications Focus on generative AI, prompts, and models What You'll Achieve Enhanced ability to implement AI in workplace tasks Deep understanding of AI tools and best practices

Learnbay's Generative AI and Agentic AI for Cloud & DevOps course is an advanced program designed for learners seeking in-depth knowledge of AI applications in cloud environments. Delivered online, this course covers coding, programming, and Python for GenAI, alongside comprehensive real-world scenarios. Participants engage in hands-on projects and receive valuable career support, including mock interviews and resume-building sessions. Graduates earn an IBM course completion certificate, enhancing their professional credentials in the field. Before You Learn / Who This Course Is For Ideal for Cloud & DevOps professionals No prerequisites; suitable for beginners and experts Perfect for career advancement in AI What to Expect Online format with interactive real-world scenarios Hands-on projects and BYOP collaboration Includes mentorship and career counseling sessions What You'll Achieve IBM course completion certificate Mastery in GenAI and Agentic AI Enhanced career prospects with guaranteed interview calls

Learnbay's SDE Master Program offers comprehensive training in GenAI and Agentic AI for software development. This online program includes a flexible three-year subscription with hands-on projects, mentorship sessions, and 40+ industry-relevant projects. Students can choose domain electives like AI for Cloud or AI-Powered Backend Engineering. Certification from Microsoft and IBM, along with career support and guaranteed interview calls, enhance career prospects. Before You Learn / Who This Course Is For Aspiring software developers and engineers Open to beginners and experienced professionals No prerequisites required What to Expect Online, flexible three-year subscription 40+ real-time projects and 2 capstones Mentorship and career support included What You'll Achieve Certification from Microsoft and IBM Skills in GenAI and Agentic AI Interview calls from top hiring partners

The DevOps & LLMOps program is a 10-week, live online course designed to equip learners with the skills needed for deploying and managing production AI systems. The first half focuses on foundational tools such as Linux, Git, SQL, Docker, and CI/CD pipelines. The latter half delves into data science applications for LLMs, including embeddings and vector databases. Learners will engage in hands-on projects and receive expert guidance, culminating in the creation of operational intelligence systems. Before You Learn / Who This Course Is For Ideal for aspiring DevOps and AI engineers Technical background recommended for complex topics Designed for those seeking practical AI deployment skills What to Expect Live sessions with expert support Hands-on projects using Docker and CI/CD pipelines Explore data science for LLMs and operational systems What You'll Achieve Gain proficiency in cloud and AI system deployment Develop skills in monitoring with LangFuse and Prometheus