Parul University - Diploma in Agentic AI & Generative AI

Course Duration and Learning Format

The diploma programme has a duration of one year, allowing students to develop relevant knowledge and practical skills within a structured learning schedule. The course is delivered through an online learning format that includes both live and recorded sessions. Live classes provide opportunities to interact with faculty, participate in discussions, ask questions, and understand important concepts. Recorded lectures allow learners to revisit topics, revise lessons, and study at their own convenience.

The flexible learning format makes it easier for students to manage their education alongside personal and professional responsibilities. Working professionals can continue their jobs while upgrading their qualifications, while fresh graduates can pursue the programme without relocating or attending a physical campus. Learners can access study materials and recorded sessions online, helping them maintain a consistent learning routine throughout the one-year programme.

Eligibility Criteria

The university lists the following requirement:

• 10+2 education or an equivalent or relevant qualification, in any stream, from a recognised board.

The university adds that tuition fees may vary depending on the country or state in which the candidate passed the qualifying examination. No prior programming experience is stated as a requirement, but the practical modules involve technical work, so ask the admissions team what background is expected.

Admission Process

Admissions are handled through the official Parul University admissions portal. The usual steps are:

1. Visit the admissions portal and fill in the online application form with your personal and educational details.

2. Choose the diploma programme.

3. Pay the registration fee online so that your application can be reviewed.

4. Submit your documents for verification and complete the remaining fee steps as advised.

Documents Required for Admission

Confirm the exact checklist for this diploma with the university. Applicants to Parul University programmes are generally asked for:

• Class 10 and Class 12 mark sheets and certificates

• A government issued photo ID

• Passport size photographs

• A category certificate, if you apply under a reserved category

Fees Structure and Payment Options

Both the official Parul University page and the Parul University Online page list the fee for the Diploma in Agentic AI and Generative AI as Rs. 50,000 for the complete programme. The university notes that tuition may vary with the country or state of the qualifying examination.

Instalment or EMI options are not confirmed for this programme in the sources reviewed, so ask whether the fee can be paid in parts.

Curriculum and Subjects

The university describes the focus areas of the programme as:

• Foundations of generative AI and large language models

• Prompt engineering

• AI agent design and autonomous workflows

• Retrieval augmented generation, often shortened to RAG

• Multi agent systems and AI orchestration frameworks

• Connecting AI agents to databases, interfaces, and business tools

• Ethical, governance, and security challenges in agentic AI

• Real world deployment

Understanding Agentic AI and Generative AI

The two terms are related but not the same.

• Generative AI: produces new content such as text, images, code, audio, or video when you give it an instruction. A chatbot that drafts an email or summarises a report is an example.
• Agentic AI: goes a step further. An AI agent can be designed to work towards a goal in several steps, decide what to do next, and use tools, such as a search function or a database, to complete tasks. It works within limits set by the people who build it, such as which tools it may use and which actions need human approval.

A useful way to remember it: generative AI creates, while agentic AI acts on a goal. Agents are often built on top of generative models, which is why the programme covers both.

AI systems can still make mistakes, invent facts, or reflect bias. The university lists analysing risks such as hallucination, bias, privacy, and security as a learning outcome, so learners are expected to check and test AI outputs and not trust them blindly.

Skills Developed Through the Programme

Based on the objectives and outcomes published by the university, learners work towards the following:

• Explaining how transformer models and foundation models work

• Writing effective prompts for different generative tasks

• Designing and building AI agents

• Implementing retrieval augmented generation systems, which let an AI answer using a chosen set of documents

• Developing multi agent systems in which several agents cooperate

• Integrating agents with real workflows and business tools

• Assessing risks related to hallucination, bias, privacy, and security

AI Tools and Technologies Covered

The Parul University Online page states that learners build AI agents using frameworks such as LangChain and AutoGen, and its description mentions Python for AI and vector databases, which store information in a form AI systems can search by meaning. These are the only specific technologies named in the sources reviewed. The depth of coverage and any other platforms should be confirmed with the university, and no particular tool proficiency should be assumed.

Learners who want to strengthen their general computing foundation first can look at the Diploma in Computer Application, which is a separate programme and not a prerequisite.

Practical Applications of Agentic AI and Generative AI

The university links the programme to enterprise automation. In practice, organisations explore AI for:

• Customer support assistants that answer questions from company documents

• Drafting and summarising reports and messages

• Automating routine steps in business workflows

• Searching internal knowledge quickly

Marketing teams also use generative AI to help draft and organise content, and learners curious about that side can compare the Diploma in Digital Marketing, which is a postgraduate programme with its own eligibility rules.

Financial services is another area where companies are testing AI for tasks such as document handling and customer queries. Learners interested in that field can explore the Diploma in Financial Services and Portfolio Management, a separate programme about investments and finance.

Emerging technology fields often overlap. The Diploma in Blockchain Technology looks at distributed ledgers, a different area that some learners explore alongside AI. It is not part of this diploma.

Career Opportunities After the Diploma

The university lists several directions that learners may consider after studying agentic and generative AI, including Generative AI Engineer, AI and machine learning engineer with a focus on large language models, Prompt Engineer, AI Agent Developer, Conversational AI Developer, and AI Integration Specialist. The Parul University Online page also mentions AI Product Developer. These roles are found in technology companies, IT services firms, and organisations that are automating parts of their work, and some learners may also apply the skills inside their own business or freelance work.

These are possible career directions and not guaranteed outcomes. Many engineering focused AI roles ask for strong programming, mathematics, or a related degree, so a one year diploma may work best as an entry point or as an addition to existing study or experience. Employers differ in what they require, and hiring depends on your skills, projects, and background. Learners who later want a management or technical degree can also consider the Parul University Online MBA, though the diploma does not require it.

Top Recruiters and Hiring Partners

Parul University reports more than 2,200 recruiters across its programmes. On its recruiters page, the companies shown for engineering and technology include Microsoft, IBM, Deloitte, Cognizant, TCS, Capgemini, Wipro, Tech Mahindra, ServiceNow, and Quantiphi. These are the university's general hiring partners for its degree streams. They are not a list of companies that hire specifically from this diploma, and the university has not stated that diploma learners are eligible for its campus placement drives. Please ask the admissions team what placement support applies to this programme before you enrol.

Who Should Consider This Diploma?

This diploma programme is suitable for individuals who want to develop their understanding of Artificial Intelligence and explore its practical applications across different industries. School leavers who have completed their 10+2 education and want to build an early foundation in emerging technologies can consider this programme. College students from computer science, management, commerce, or other academic backgrounds may also benefit from learning AI concepts alongside their regular studies. It can help them develop additional technical knowledge and prepare for future opportunities in technology-driven fields.

Working professionals who want to upgrade their existing skills and understand how AI can improve workplace productivity can also consider this diploma. The programme may be useful for employees interested in automating routine tasks, improving data handling, and using AI-powered tools in their daily work. Entrepreneurs and small business owners can explore AI applications for business operations, customer support, marketing, and decision-making.

Additionally, this programme may be a suitable choice for career changers who want to explore opportunities in the growing AI sector. Individuals interested in technology, automation, digital innovation, and problem-solving can use the course to build a foundation for further learning. However, learners who are new to technology should check the programme's eligibility requirements and expected technical background before applying. A willingness to learn, experiment with new tools, and understand emerging technologies can help students make better use of the programme.

Further Education Options

The diploma is not a prerequisite for any postgraduate course, and further study is optional. Learners who later hold a bachelor's degree and want to go deeper into computing can explore the Parul University Online MCA, which Parul's own online page lists with an AI and machine learning specialisation. Admission to the MCA depends on its own eligibility rules, including a bachelor's degree. Those drawn to the mathematical side of AI may look at the Parul University Online M.Sc, and commerce graduates interested in data and business may consider the Parul University Online M.Com.

Benefits of Learning Agentic AI and Generative AI

Learning Agentic AI and Generative AI can open up opportunities in different industries, as many businesses are now using AI tools to improve their work. The skills gained through this programme can be useful in fields such as IT, healthcare, finance, education, and digital marketing. The one-year duration makes it easier for learners to complete the course within a reasonable time. The online learning format, with live and recorded classes, also gives students and working professionals the flexibility to study at their own pace.

The programme also helps learners understand how to use AI tools safely and responsibly. It covers important topics such as AI risks, ethical use, and governance, along with practical applications. These skills can help learners improve their existing job roles, explore new career opportunities, or start freelance projects. Entrepreneurs can also use their AI knowledge to improve business operations, save time, and work more efficiently.