Hyderabad, India
mailto:training@eduzek.com
Call us: +91-7207950202
Upgrade your technical skills without putting your career on hold with Eduzek’s Generative AI and Agentic AI training for working professionals. Learn how large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), vector databases and AI agents can be applied to real-world software development, data analysis, testing and business automation. Build practical knowledge through guided exercises and hands-on projects covering modern Generative AI tools and application frameworks. Whether you are a software developer, .NET developer, Java developer, data scientist, IT professional or QA engineer, this learning path helps you explore how AI can complement your existing expertise. With live instructor-led training, weekend and evening learning options, session recordings and trainer support, you can develop your AI skills around your professional commitments. Contact Eduzek to discuss the available batches, curriculum, fees and learning path best suited to your goals.
Generative AI is transforming the way organizations develop software, process information, analyze data and automate workflows. For working professionals, understanding these technologies can open new learning opportunities and help extend existing technical skills into AI-powered applications.
Eduzek’s Generative AI and Agentic AI training introduces you to the concepts and tools behind modern AI applications. Learn about large language models, prompt engineering, embeddings, vector databases, retrieval-augmented generation and LLM application frameworks.
Progress into Agentic AI concepts, including tool calling, workflow orchestration and AI agents that can carry out defined multi-step tasks with suitable controls and human oversight. Explore practical use cases relevant to software development, data science, quality assurance and IT operations.
The program is designed to accommodate the needs of professionals balancing work and learning. Weekend and evening batches, session recordings and trainer support help you plan your learning journey. Contact Eduzek to confirm the current batch schedule, recording access, support arrangements and course details.
Whether your goal is to enhance your current role, build AI-powered projects or explore a future specialization, a structured learning path can help you develop relevant skills while continuing your professional journey.
Learn how LLM APIs, prompt engineering, RAG and AI frameworks can support intelligent application features, code assistance and workflow automation.
Explore Generative AI integrations, intelligent document assistants, AI-enabled backend services and LLM-powered applications relevant to .NET development.
Understand LLM integration, retrieval-based applications, conversational interfaces and AI-powered backend workflows that complement Java development.
Build practical knowledge of LLM applications, AI integrations, intelligent automation and AI application architecture to expand your technical capabilities.
Explore embeddings, semantic search, RAG, document intelligence and LLM-assisted analytical workflows, with an emphasis on validating AI-generated results.
Discover how Generative AI can assist with test-case ideation, test-data generation, test-script drafting and defect summarization under human review.
Develop foundational Generative AI knowledge and practical project experience that complements your academic background and technical learning.
Understand Generative AI and Agentic AI concepts and identify relevant applications for your current responsibilities or future career goals.
| Course Name | Generative AI & Agentic AI Training |
|---|---|
| Target Audience | Working professionals, software developers, IT professionals, data scientists, QA engineers and eligible students |
| Learning Level | Foundational to advanced application concepts |
| Training Mode | Live instructor-led online training; group, 1:1 and corporate formats |
| Batch Timings | Weekend and evening learning options |
| Session Recordings | Recordings for revision, subject to the applicable access policy |
| Trainer Support | Trainer guidance and doubt-clearing support |
| Course Duration | Confirm the current batch duration and total training hours with Eduzek |
| Prerequisites | Basic programming familiarity is helpful for technical application development |
| Core Technologies | LLMs, prompt engineering, embeddings, RAG, vector databases, LangChain, LangGraph and AI agents |
| Practical Learning | Hands-on exercises and application-oriented projects |
| Certification | Confirm certificate availability and completion requirements with Eduzek |
| Course Fees | Contact Eduzek for current fees and payment options |
Explore Generative AI concepts and applications relevant to software development, data science, IT and quality assurance.
Choose from available weekend and evening batch options to plan your learning around professional commitments.
Learn with trainer guidance, explanations of technical concepts and doubt-clearing support.
Revisit key topics through available session recordings in accordance with the batch access policy.
Practise concepts through projects involving LLM applications, RAG, document intelligence and AI workflow automation.
Explore both LLM-powered applications and AI agents that use tools and structured workflows to perform multi-step tasks.
Identify applications relevant to your experience as a developer, IT professional, data scientist or QA engineer.
Enquire about online group batches, personalized 1:1 training and corporate training options.
Generative AI skills can help working professionals expand their technical knowledge and explore opportunities in software development, data science, software testing, IT automation, and intelligent application development. By learning Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents, professionals can build practical skills relevant to evolving technology requirements. Eduzek’s Generative AI Course and Training in India provides a relevant starting point for professionals looking to understand Generative AI concepts and their practical applications.
Software developers can learn how to integrate LLMs into applications, build AI-powered features, implement RAG pipelines, and automate selected development workflows. Understanding prompt engineering, model APIs, and AI application frameworks can help developers extend their existing programming skills and explore new approaches to software development.
.NET developers can explore LLM integration, intelligent backend services, document-processing applications, and AI-powered business solutions. Generative AI concepts can complement existing .NET development skills and help professionals understand how to build applications that interact with language models and external data sources.
Java developers can explore LLM-powered backend services, conversational applications, semantic search, and AI-enabled enterprise workflows. Learning how to connect AI models with application logic can help developers investigate practical Generative AI use cases within Java-based environments.
Data scientists and analysts can explore embeddings, vector databases, semantic search, document intelligence, and retrieval-augmented generation. These techniques can support natural-language interfaces to data and LLM-assisted analytical workflows, with appropriate validation of generated results.
Software testers and QA engineers can investigate AI-assisted test-case generation, test-data suggestions, test-script drafting, and defect summarization. These applications can complement conventional testing practices when AI-generated outputs are reviewed and validated by qualified professionals.
IT professionals can develop an understanding of LLM applications, intelligent automation, AI integrations, and AI deployment concepts. These skills can help them evaluate how Generative AI may support technical documentation, knowledge management, and selected business or IT workflows.
Agentic AI focuses on systems that use AI models, external tools, and structured workflows to complete multi-step tasks. Professionals can explore AI agents, tool calling, workflow orchestration, and controlled task execution to understand how intelligent automation solutions are designed. For professionals interested in specializing in AI agents and intelligent automation, Eduzek’s Agentic AI Course and Training in India offers a dedicated learning path to explore Agentic AI concepts and their practical applications.
Professionals looking for location-specific training can explore learning options and course details relevant to Hyderabad. If you are based in Hyderabad or prefer training opportunities in this location, visit Eduzek’s Generative AI Training in Hyderabad to learn more about the location-focused program.
The right learning path depends on your current role, technical background, career interests, and available learning time. Developers may prioritize LLM integrations and RAG, data professionals may focus on semantic search and document intelligence, and QA engineers may explore AI-assisted testing. Professionals interested in workflow automation can consider Agentic AI.
Before enrolling, contact Eduzek to confirm the current curriculum, course duration, fees, available weekend and evening batches, session recordings, and trainer support. Generative AI training can help you develop practical knowledge and project experience, although employment and career outcomes depend on your skills, experience, portfolio, and employer requirements.
Yes. The training is designed for professionals who want to explore Generative AI and Agentic AI alongside their existing careers. It is relevant to software developers, IT professionals, data scientists, QA engineers and other technical learners. Contact Eduzek to discuss your experience and suitable starting level.
Weekend training options are available for working professionals. Contact Eduzek to confirm the upcoming batch dates, session timings and availability.
Evening learning options help professionals plan training around work commitments. Contact Eduzek to confirm the current evening batch schedule and session timings.
Session recordings are available for revision, subject to the applicable batch policy. Confirm access duration, availability and any recording-related conditions with Eduzek before enrolment.
Eduzek provides trainer guidance and doubt-clearing support. Ask the training team about the support channels, project guidance and arrangements included in your selected batch.
The learning path covers Generative AI and LLM fundamentals, prompt engineering, model APIs, embeddings, vector databases, RAG, LLM frameworks, AI application development, Agentic AI concepts, evaluation and deployment. Exact module coverage can vary by batch.
Eduzek offers a dedicated Agentic AI training page covering the agent-focused learning path. Explore https://www.eduzek.com/agentic-ai-course-training-india or contact Eduzek to compare the course structure and available training options.
The course is relevant to developers who want to explore LLM APIs, prompt engineering, RAG, intelligent application features and AI workflow automation. Programming knowledge is helpful for the practical application-development components.
Yes. .NET developers can explore concepts relevant to integrating LLMs into applications, developing AI-enabled backend services and building intelligent document assistants. Confirm any .NET-specific exercises or framework coverage with Eduzek.
Java developers can apply Generative AI concepts to backend services, API integrations, document assistants and conversational applications. Ask Eduzek whether the current batch includes Java-specific implementation exercises.
Data scientists can explore embeddings, semantic search, RAG, document intelligence and LLM-assisted analytical workflows. These concepts can complement data science skills, while generated insights should still be validated against source data.
Generative AI can assist with test-case ideation, test-data suggestions, test-script drafting and defect summarization. The training introduces relevant concepts, but the exact depth of software-testing-specific exercises should be confirmed with Eduzek.
BTech students and recent graduates can explore Generative AI concepts to complement their academic learning. Basic programming familiarity is helpful for technical projects. Contact Eduzek to confirm prerequisites and the most suitable batch.
Prior professional Generative AI experience is not essential for a foundational learning path. Programming familiarity can help with application-development projects. Discuss your current skills with Eduzek to confirm the appropriate starting level.
Generative AI focuses on generating outputs such as text, code and other content. Agentic AI focuses on systems that use models, tools and structured workflows to perform multi-step tasks. An AI agent can use a Generative AI model as part of its architecture.
The total duration depends on the curriculum and training schedule. Contact Eduzek for the current batch duration, total training hours, weekly session frequency and expected completion timeline.
Course fees depend on the selected training format and program details. Contact Eduzek for current pricing, payment options and any applicable offers.
No course can guarantee a job, promotion or salary increase. Training can help you build knowledge and practical project experience, while career outcomes depend on your background, skills, portfolio and employer requirements.
Choose based on your current role and goals. Developers may prioritize LLM application development and RAG; data professionals may focus on semantic retrieval and document intelligence; QA professionals may explore AI-assisted testing; and learners interested in autonomous workflows may explore Agentic AI. Eduzek can help you compare the available learning paths.