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Program Fee
INR 72,000 + GST
(As per standard offerings)
Application Deadline
9th April 2026
Duration
~26 Weeks
(excluding bridge modules for pre-requisites)
Type of Program
Certificate
Program Introduction
Most AI courses teach prompting.
But real-world AI systems require much more.
They need to retrieve the right data, reason through complex tasks, interact with tools, and take actions reliably. That’s where the next wave of AI is headed - Agentic AI.
Agentic AI systems don’t just generate responses. They plan, execute, and automate workflows across tools and environments. As adoption accelerates, so does the demand for professionals who can design and build these systems end-to-end.
That’s where BITS Pilani Digital’s Professional Certificate in Generative & Agentic AI comes in.
This 6-month, industry-aligned program is designed to help you move from experimenting with AI to building production-ready systems. Through masterclasses by BITS Pilani Digital faculty and Industry Mentors, 60 hours of live sessions, and 164+ hours of hands-on learning, you’ll work with LLMs, RAG pipelines, evaluation frameworks, and agentic workflows.
Every module is built around application. You’ll go beyond concepts to actually design, build, and evaluate AI systems - culminating in a capstone that demonstrates your ability to solve real-world problems using Generative and Agentic AI.
By the end of the program, you won’t just use AI - you’ll know how to build systems that reason, act, and deliver outcomes.
Why choose this program
Your launch pad to leadership in the age of Artificial intelligence
Many Gen AI courses stop at prompts and simple applications. They teach how to interact with models but rarely explore the deeper engineering that powers real AI systems.
LEARN DEEPER,
RISE HIGHER
with an agent-first approach to AI. This program focuses on the engineering backbone of agentic systems — planning, tool use, orchestration, safety, and auditability. Anchored in a production-style capstone, the learning journey helps you understand how intelligent systems are structured and deployed.
Most AI programs teach how to build applications. Far fewer teach how to evaluate them. Without proper evaluation frameworks, AI systems can drift, break, or behave unpredictably in real environments.
LEARN DEEPER,
RISE HIGHER
by treating evaluation as a core engineering capability. Through the Eval-First Prompt Lab, you’ll explore how to test prompts, measure system performance, and build regression workflows that keep AI systems reliable as they evolve.
Many learners complete AI courses with nothing to demonstrate their practical capabilities. Without tangible outputs, translating learning into professional credibility becomes difficult.
LEARN DEEPER,
RISE HIGHER
through a portfolio built across every stage of the program. Each module culminates in something you ship, such as mini-applications, RAG-based systems, evaluation harnesses, and agent workflows. The program culminates in a capstone that puts your capabilities front and center for your next hirer.
AI innovation today is not limited to professional developers, yet many programs still expect strong coding backgrounds, creating a barrier for non-engineering learners who want to explore AI capabilities.
LEARN DEEPER,
RISE HIGHER
with a path designed for both developers and non-developers. Through Vibe Coding, you’ll explore how AI-assisted development can help professionals prototype and ship applications while understanding the risks of blindly trusting AI-generated code.
Modern AI systems interact with business processes, automation tools, and collaborative agent systems, yet most programs treat these capabilities separately.
LEARN DEEPER,
RISE HIGHER
by exploring the dual orchestration models shaping modern AI platforms. You’ll work with n8n-style workflow automation for business processes and CrewAI-based agent teams for collaborative intelligence. Together, these approaches reflect how agentic platforms are evolving, where structured workflows and collaborative agents work side by side.
Eligibility Criteria
Designed to welcome learners from diverse academic and professional backgrounds.
Minimum Qualification: Graduate (any stream)
Coding Requirement: No mandatory coding background is required. A Python foundation module is included in the program to help learners get started.
Important
Offer of admission would be based only on BITS Pilani Digital Admission Cell’s assessment of the overall application, and meeting the eligibility criteria does not guarantee selection or admission.
Master 35+ Industry Tools That Will Power Your AI Career
Build AI Systems That Work in the Real World
From Models to Autonomous Systems
This program goes beyond tool familiarity.
You’ll design end-to-end AI systems that can reason, retrieve knowledge, take action, and operate reliably in real-world environments.
Intelligence Layer (Models & Reasoning)
Where your AI thinks, plans, and generates outputs
- OpenAI
- Anthropic
- Claude
- Gemini
Learn how LLMs reason, follow instructions, and power intelligent behavior
Application & Agent Frameworks
Where intelligence becomes structured systems
- LangChain
- CrewAI
Design RAG pipelines, agent workflows, and multi-agent systems
Integration & Protocol Layer
How AI systems connect to tools, data, and external environments
- Model Context Protocol (MCP)
Understand how modern AI systems standardize tool access, context sharing, and external actions
Knowledge & Retrieval Layer (RAG Stack)
Where your AI accesses and grounds itself in real data
- Vector databases: Qdrant, Pinecone, Weaviate, FAISS (Only one of these)
- Data sources: Google Drive, Notion, Confluence, SharePoint, PDFs, web pages
Build systems that retrieve, cite, and stay grounded in enterprise knowledge
Workflow & Automation Layer
Where your AI executes multi-step processes
- n8n
Automate workflows across tools, approvals, and business logic
Action Layer (Enterprise Systems)
Where your AI agents take real-world actions
- Slack
- Microsoft Teams
- Jira Service Management
- Microsoft 365
- support tools: HubSpot, Zendesk, Freshdesk
Build & Development Environment
Where you prototype and ship systems (Only one)
- Visual Studio Code (+ AI coding extensions)
- Python 3.10+, uv
Use AI-assisted development (“Vibe Coding”) to rapidly build applications
Evaluation & Reliability Layer
Where you test, measure, and improve AI systems
- pytest
- Eval harness / regression testing
- Prompt testing, hallucination checks, bias evaluation
Ensure your systems are reliable, measurable, and production-ready
Safety & Human-in-the-Loop Systems
How you control and govern AI actions
- Approval workflows
- Guardrails for tool usage
- Audit logs for decision tracking
Build AI systems that are safe, auditable, and enterprise-ready
From Tools to Systems Thinking
Most programs teach tools in isolation.
This program teaches how they work together as a system:
Intelligence → Retrieval → Reasoning → Action → Evaluation → Deployment
Tool Approach
- We will identify 2-3 of the most popular tools in each category, go deep into the most popular one, and perhaps give an overview of the other two.
- We expect learners to subscribe to those tools (which need subscription) and experiment with them through labs.
AI adoption is accelerating, and skills must evolve with it.
The jump in overall AI adoption rate, with 65% of organizations regularly using generative AI.
(Source: McKinsey - The State of AI in Early 2024)
Of leaders expect AI agents to become a key part of their company’s AI strategy in the next 12–18 months.
(Source: Microsoft Work Trend Index 2025)
The share of existing skill sets that will become outdated over the 2025-2030 period.
(Source: World Economic Forum - Future of Jobs Report 2025)
CAREER IMPACT DASHBOARD
It’s time to learn agentic AI in-depth and rise higher in your professional journey.
Tools built into the curriculum.
Of immersive hands-on lab experience.
That's all it takes to master Agentic AI.
Curriculum Snapshot
Project | Brief Description |
| Foundations (bridge) |
|
Module Name | Brief Description |
| LLM application engineering |
|
Module Name | Brief Description |
| RAG systems (production-minded) |
|
Module Name | Brief Description |
| LLM evaluation & quality (a major differentiator) |
|
Module Name | Brief Description |
| Agentic AI core |
|
Module Name | Brief Description |
| Concepts in Deployment, integration, and MLOps-for-LLM apps |
|
Module Name | Brief Description |
| Capstone (enterprise-grade) | Pick one capstone track with milestones (proposal → design review → mid-demo → final demo + report):
Deliverables: architecture diagram, risk register (security/privacy), offline eval report, and a deployed demo endpoint. |
Sample Certificate
FEE STRUCTURE
Four-month interest-free EMI
INR 17,700
Total program fee
INR 72,000 +GST
Includes booking fee of INR 12,000
(Non-refundable)
The Professional Certificate in Generative & Agentic AI is designed to make advanced AI learning accessible while offering flexible payment options.
The most asked questions
BITS Pilani Digital is the digital learning division of BITS Pilani that offers rigorous, industry-aligned upskilling programs designed for working professionals to stay current with evolving technology.
It is systems-and-practice first: heavy hands-on labs (104+ hours) plus an end-to-end capstone focused on building practical GenAI and agentic AI solutions, not just theory or prompting.
Final-year/PG students, non-tech professionals, early-to-mid career tech professionals, founders/consultants, and senior professionals moving into AI product/technology leadership roles.
Any graduate (any stream) or final-year student can apply; no mandatory coding background is required, and a Basic Python foundation option is provided.
6 months (~26 weeks), delivered online through pre-reads, weekend live instructor sessions (2 hours), and self-paced labs, culminating in one capstone project (GenAI and/or agentic AI system).
- AI models & chat: OpenAI, Anthropic, Google; ChatGPT, Claude, Gemini
- Agents & orchestration: CrewAI
- Workflow automation: n8n
- RAG / knowledge stack: LangChain; Qdrant, Pinecone, Weaviate, FAISS; Google Drive/Docs, Confluence, Notion, SharePoint, PDFs, Web pages
- Build (vibe coding): VS Code (+ AI coding extension); Python 3.10+; uv
- Test & evaluate: pytest; eval harness / regression tests (Eval-First Prompt Lab)
- Work apps & integrations: Google Workspace, Microsoft 365; Slack, Microsoft Teams; Jira Service Management, ServiceNow; HubSpot, Freshdesk, Zendesk
- Infra & configuration: Cloud accounts (learner-funded);
You will build a complete GenAI and/or agentic AI system as a capstone with extensive labs; It may not be “deployment from scratch” as a guaranteed outcome, but it is designed to produce an end-to-end working system.
Yes—Generative AI is a core focus, including GenAI + RAG project types (e.g., knowledge bot with citations, contract clause copilot, meeting-to-action studio).
No mandatory coding prerequisites; foundation modules are available (Python for AI & Automation, Maths/ML concepts for GenAI, Cloud foundations, DevOps).
Blended online learning: weekly pre-reads, live mentor-led sessions, and extensive hands-on labs; non-developers get starter notebooks while advanced learners can code.
Break is possible and allowed only once as part of this program. If you take a break, you will be moved to the next available cohort at no extra cost. The program is structured and the workload is designed to enable you to complete the program at one stretch without taking breaks and continuity is encouraged to match the modular schedule. Please note: that your continuity after break is subject to availability of the next cohort which is decided as per the discretion of the institute.
Programs at BITS Pilani Digital are taught by a distinguished pool of experts from both academia and industry. Faculty members may include:
Professors from BITS Pilani’s campuses who bring deep academic rigor and research-driven insight.
Dedicated faculty from the Digital Learning Division, focused on delivering engaging, practice-oriented learning experiences.
Guest faculty and mentors carefully selected and rigorously onboarded from the industry and other prestigious academic institutions, ensuring every course is current, applied, and industry-relevant.
In each program, you will often learn from a blend of academia-driven scholars and industry practitioners — experts who not only teach but actively build, research, and solve problems in their respective domains.
No traditional exams. Evaluation is through module labs and projects, hands-on labs, and a final capstone.
Successful learners will receive a certificate of completion titled: “Professional Certificate in Generative AI & Agentic AI.”
Successful completion of the certificate program would require participation in all quizzes and completion of the capstone project with a minimum “fair” grade
The Transcript will contain the list of modules and the Capstone project title with non letter grades.
The primary focus of BITS Pilani Digital is to make every learner industry-ready through a combination of rigorous, industry-aligned curriculum, hands-on projects, and mentorship from experienced professionals and faculty. This learning methodology is designed to build deep, career-relevant skills that empower professionals to progress confidently in their chosen domain.
To complement this, BITS Pilani Digital offers career enablement support including resume guidance, career mentorship, and curated opportunities from its industry partner network. These opportunities, however, are not guaranteed and depend on several factors such as market conditions, learner performance, and individual career aspirations.
Learners are encouraged to take ownership of their career journey, actively leverage the program’s learning experiences, and pursue roles aligned with their skills and goals.
This certificate is a shorter, outcome-oriented route (6 months) focused on practical GenAI + agent skills and portfolio projects, whereas our degree is broader and longer; the best choice depends on whether the learner needs a credentialed academic pathway or faster job-relevant capability building.
Experiential learning is at the heart of every program at BITS Pilani Digital. All labs are mandatory and project-based, designed to help learners translate concepts into real-world applications using industry-grade datasets, tools, and cloud environments.
You’ll gain hands-on experience across every stage, from deployment and monitoring to optimization and troubleshooting guided by faculty and industry mentors who ensure that every exercise reflects real professional challenges. This immersive, applied learning approach ensures that you don’t just learn the technology — you practice, implement, and master it.
Program fees include access to all learning modules, hands-on labs, mentorship sessions, and evaluation support.
Flexible payment options are available, and detailed fee information can be found on the BITS Pilani Digital Program page.
While many of our labs use shared or open-source environments, the nature of this program is such that enterprise cloud use is required and is learner-funded. Learners to use their own cloud/tool subscriptions where needed.
The program is specifically designed for technology professionals and follows a flexible, part-time learning structure that allows you to balance work and study effectively.
Each week includes:
~3+ hours of engaging, expert-led digital learning modules
~6 hours of hands-on projects and lab work in real-world environments
~1 hour of live instructor-led sessions for deeper insights and discussions
In total, you can expect around 9–10 hours of learning engagement per week, thoughtfully optimized for working professionals who wish to upskill without taking a career break.
In this program, we have placed strong emphasis on the deployment, implementation and full-lifecycle real-project component.
The program runs approximately 24-26 weeks (~ 6 months) with ~9-10 hours per week of learning engagement for working professionals.
Importantly: the program incorporates “significant practical learning”. Every module includes extensive hands-on labs.
Finally, you can focus your capstone project where an industry professional will provide mentorship.
Given below are broad usage and cost estimates for learners pursuing this program. Actual costs may vary based on cloud provider, region, GPU type, usage pattern, and how efficiently learners manage their resources.
Medium usage (regular experiments and training; ~15 GPU hrs/week)
Estimated total: ₹16,000 – ₹34,000 for the full 6-month course.
Intensive usage (heavy experimentation; many training runs; ~40 GPU hrs/week)
Estimated total: ₹25,000 – ₹50,000 for the full 6-month course.
These broad estimates include GPU compute, a modest persistent disk, small CPU VM time for development, access, and a buffer for miscellaneous services.
Practical ways to keep costs low
Switch off or delete VMs whenever not in use.
Use preemptible / spot GPUs whenever possible — typically 30–80% cheaper — ideal for experiments and long training runs (restart frequently).
Start with managed notebooks and free tiers — e.g., Google Colab (free) or Colab Pro — which can be the most cost-effective option for many learners.
Schedule heavy training outside peak times, use smaller batch sizes or mixed precision to reduce GPU hours.
Use small persistent disks (50–100 GB) and store large datasets in cheaper cloud object storage; delete heavy VMs once finished.
Where feasible, keep persistent data on your local machine rather than in the cloud to avoid storage and egress costs.