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ChatGPT and Generative AI are advanced AI systems capable of producing text, images, and other forms of content that mimic human creativity. ChatGPT focuses on conversation and interactive communication, while Generative AI can produce a variety of outputs, including writing, coding, and artistic creations.
This certification equips individuals with skills to leverage AI for content automation, intelligent communication, and creative applications. Candidates learn to manage AI models, generate high-quality outputs, integrate AI into workflows, and solve practical problems using generative techniques.
This exam is ideal for:
Domain 1 - Introduction to ChatGPT and Generative AI
Domain 2 - Fundamentals of AI and Machine Learning
Domain 3 - Working with ChatGPT
Domain 4 - Generative AI Techniques
Domain 5 - Data Preparation and Model Training
Domain 6 - Integration and Automation
Domain 7 - Optimization and Evaluation
Domain 8 - Ethics, Security, and Best Practices
Industry-endorsed certificates to strengthen your career profile.
Start learning immediately with digital materials, no delays.
Practice until you’re fully confident, at no additional charge.
Study anytime, anywhere, on laptop, tablet, or smartphone.
Courses and practice exams developed by qualified professionals.
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Easy-to-follow content with practice exams and assessments.
Join a global community of professionals advancing their skills.
Yes, applications in business, marketing, chatbots, and content automation.
Yes, basic Python or similar programming knowledge is recommended.
AI developers, data scientists, content creators, software engineers, and AI enthusiasts.
Yes, including responsible AI use, bias mitigation, and privacy.
Yes, it enhances automation and creative AI-based content generation.
Yes, for embedding AI into applications and workflows.
Yes, AI tools can assist in research, data analysis, and automated reporting.
AI Developer, Generative AI Specialist, Chatbot Developer, Data Scientist, AI Product Manager.
Yes, candidates learn to customize models for specific domains.
Yes, the course covers fundamentals and practical applications.
Yes, for text, images, code, and creative outputs.
Yes, including architecture, conversations, and API integration.
IT, marketing, media, education, research, and creative industries.
Yes, including multimodal AI, automation, and advanced generative techniques.
Yes, including performance metrics, error reduction, and quality improvement.