H2K Infosys Generative AI Certification Course is designed to help learners move from AI basics to job-ready GenAI application development. The course focuses on practical learning through live instructor-led classes, real-time projects, and hands-on tools used in modern AI workflows.
This GenAI Course Covers Prompt Engineering, Large Language Models, ChatGPT, OpenAI API, Hugging Face, LangChain, LlamaIndex, RAG pipelines, vector databases, Agentic AI, AI automation, AI safety, and deployment basics. Learners also receive career support through resume preparation, mock interviews, interview question practice, and job placement assistance.
Whether you are a fresher, software developer, QA tester, business analyst, data analyst, or non-technical professional, this course helps you understand how Generative AI can be applied in real business environments.
About the Generative AI Course
Generative AI is transforming the way businesses create content, build software, analyze data, automate workflows, support customers, and improve productivity. Companies are increasingly looking for professionals who can use AI tools effectively and build AI-powered solutions.
This Generative AI certification course starts with foundational AI concepts and gradually moves into practical implementation. Learners will understand how LLMs work, how to write effective prompts, how to connect AI models with applications, how to build RAG systems, and how to develop AI agents for automation.
The course is structured to combine theory, hands-on labs, project work, and job preparation so that learners can confidently explain their skills in interviews and apply them in real workplace scenarios.
Career Path After Generative AI Training
After completing this course, learners can apply GenAI skills across several career paths. Technical learners can move toward AI Engineer, LLM Developer, RAG Engineer, or AI Automation Engineer roles. Non-technical learners can apply Generative AI in business analysis, QA, project management, marketing, documentation, customer support, and productivity automation.
This training helps learners build a project portfolio that demonstrates practical AI implementation, which is valuable for interviews and career transitions.