• Duration

    Duration

    36-38 weeks

  • Early Application Deadline

    Admission Deadline

    15th Dec, 2025
    (Jan 2026 Batch)

  • Fees

    Program Fee

    INR 1,25,000 (+ GST)

    Easy EMI option available
  • Degree

    Type of Program

    Certificate

Program Introduction

What if you could build the next generation of AI-powered products instead of just using them?

What if you could turn every AI idea into something real, scalable, and world-changing?

Because that’s exactly where the world is heading.

AI is transforming how we code, create, and compete, with AI engineering roles growing 1100% faster than the rest of tech. Yet, most teams still struggle to take AI from prototype to production.

What the industry needs now are engineers who can see the full stack — and build it.

That’s where BITS Pilani’s Professional Certificate in AI Engineering and MLOps comes in.

A 36-38 weeks, fast-paced, industry-backed program designed to turn software developers into AI professionals, the kind who build, ship, and scale real AI systems.

Here, you’ll learn deeper through hands-on projects guided by BITS faculty and industry experts. And you’ll rise higher, armed with production-ready skills and the confidence to lead AI innovation wherever you go.

AI is defining the decade.

And this is your chance to define yours.

Why choose this program

Your launch pad to leadership in the age of Artificial intelligence

AI and software engineering aren’t spectator sports. They’re skills of execution. You don’t become a full-stack AI professional by watching lectures; you get there by building, debugging, and deploying real systems.

LEARN DEEPER,
RISE HIGHER

with a hands-on course for developers that turns learning into muscle memory. Every concept you learn is immediately turned into implementation using industry-grade tools like PyTorch, TensorFlow, LangChain, MLflow, and Docker. By the end, your understanding doesn’t just stay theoretical, it ships.

In the real world, AI solutions don’t stop at prototypes. They scale, integrate, and perform. Yet most learners never get to experience that production reality.

LEARN DEEPER,
RISE HIGHER

with industry-aligned capstone projects. You’ll tackle real business challenges across fintech, healthcare, and manufacturing, working through the complete AI lifecycle, from data engineering to deployment. With expert mentorship, you’ll graduate with a solution that’s not academic proof, but industry evidence.

Traditional exams measure what you remember. They fail to capture what makes a real AI engineer — problem-solving, precision, and the ability to deliver under constraints.

LEARN DEEPER,
RISE HIGHER

with project-based evaluation that assesses your hands-on project work. Each project submission is like a functional artifact — a deployed model, API, dashboard, or service. Each artifact is analyzed on production-grade parameters like scalability, efficiency, and precision. Because in this AI Engineering and MLOps certificate program, success isn’t scored — it’s shipped.

In most AI programs, The concepts make sense in classrooms but fall apart in production. Professionals often face a disconnect between academic rigor and practical execution. What’s missing is exposure to real-life learning.

LEARN DEEPER,
RISE HIGHER

with the BITS Pilani Professional Certificate in AI Engineering and MLOps that bridges that gap through a dual mentorship model. BITS Faculty teaches the theoretical foundations and frameworks, while industry practitioners guide your real-world implementation.

Too many AI courses are detached from real business impact. Learners learn how models work but not where or why they matter. Whereas, learning should mirror the real world where every concept finds its proof in a real problem solved.

LEARN DEEPER,
RISE HIGHER

by learning the full AI lifecycle: framing the business problem, preparing data, training models, evaluating performance, and deploying at scale. The Professional Certificate in AI Engineering and MLOps anchors every module in industry case studies drawn from sectors like finance, manufacturing, and healthcare, helping you bridge concept and impact. You’ll explore how data becomes strategy, how models drive business outcomes, and how AI delivers measurable value.

Most programs end with academic projects that look good on paper but rarely reflect real industry challenges. Learners graduate without proof that they can deliver AI solutions that work in production and drive measurable outcomes.

LEARN DEEPER,
RISE HIGHER

with a Professional Certificate in AI Engineering and MLOps that culminates in a capstone designed to mirror real business environments. This is where you apply everything you’ve learned to design, build, and deploy a full-scale AI application. Each capstone is a showcase of your engineering depth, strategic thinking, and ability to deliver business impact. More than a project on paper, it’s a proof of skill, execution, and industry readiness.

Knowing AI isn’t enough. You need the direction and confidence to put it to work in your career. That’s where our Career Services framework steps in which provides

LEARN DEEPER,
RISE HIGHER

  • Expert Guidance: Mentorship from academic and industry professionals who help you align skills with real-world expectations.
  • Curated Career Enablement: Access to exclusive resources, networks, and opportunities through the BITS partner ecosystem.
  • Career Navigation Support: Individualized interview preparation and career strategy assistance to help you step confidently into your next role.

Disclaimer:
BITS Pilani Digital equips learners with industry-relevant skills and career support to enhance employability. However, job placement or advancement is not guaranteed. Opportunities depend on market conditions, learner performance, and individual goals. Learners are expected to take ownership of their career growth and actively apply what they learn.

Eligibility Criteria

If you’re a tech professional ready to deepen your expertise and rise confidently in one of the fastest-growing fields, you’re right where you need to be.

Applicants holding a Bachelor’s degree and possessing relevant professional experience in software development.

Working knowledge of Python or another programming language.

Best suited for professionals with 2+ years of experience in software development. Those with less experience may apply if confident in handling the program’s advanced, application-oriented AI curriculum.

Important Advisory

This is a hands-on, engineering-oriented AI program designed to build end-to-end AI product development capability — not just theoretical AI knowledge. While this advisory is not an additional eligibility requirement, learners are expected to have basic proficiency in programming (preferably Python) and logical problem-solving to fully benefit from the learning experience.

Offer of admission would be based only on BITS Pilani Digital- Admission Cell`s assessment of the overall application which includes the prior educational details, work exp information and other information submitted in the application form.

Master 25+ Industry Tools That Will Power Your AI Career

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Learning Methodology

The program follows a flipped-classroom model. It combines flexible self-paced learning with structured, hands-on mentorship from day one.

Global AI hiring is exploding, and skilled builders are the rarest resource.

CAREER
IMPACT
DASHBOARD

AI

It’s time to learn the language of the future and rise faster because of it.

Turn Skills Into Careers

*Source: 6figr, Indeed, SOC Masters, GeeksforGeeks, Sharpener

This information is based on publicly available sources, and individual experiences may vary depending on multiple factors.

Curriculum Snapshot

Module Name

Brief Description

Development Life Cycle
AI specific SDLC, Life Cycle of AI/ML Projects, Iterative Training & Deployment, Case Studies.

Module Name

Brief Description

Requirements and Data Design
  • AI problem scoping, Explainability and Transparency.

  • The role of data collection, cleaning, and preprocessing, Labelling, Storage, Data Ingestion and Data Versioning, Data Validation

Module Name

Brief Description

Design and Development
  • Data management, Feature Engineering and Selection, Preprocessing

  • Inference with (Pre-)Trained Models, Hugging Face Inference

  • Model Selection using pre-trained models, Model Training and Tuning, Retraining, Model evaluation metrics, Model Analysis, Model Versioning, In Production Retraining Approach (managing Data drift/model drift)

  • (NEW) Complexity & Scale of Training, Understand the scale of training (distributed or parallel approach (GPGPU/Pytorch)

  • Implementation (GenAI or native) - Basic coding. Development will constitute Code generation using Copilot, Cursor,

Module Name

Brief Description

Testing and Validation

AI specific testing, Data Drift Monitoring, ML Test Score, CI & Test Automation. Staging testing and A/B Testing.

Module Name

Brief Description

Deployment & MLOps
  • Pipeline Orchestration: Apache Beam, Apache Airflow, Kubeflow, Ray, KubeRay, MLFlow, tensorboard, W&B tools & Flyte pipelines.

  • Containerization: Docker, Kubernetes, Serverless Containerization, Truss

  • Model Optimization & Quantization Optimization Techniques: Speculated Decoding, Flash Attention, KV Caching

  • Intel / AMD specific quantization and tuning tools Rockm/Openvino

  • Model Serving Platforms, Quantization, API Integration, Tools: Quantization (ONNX, TensorRT, Optimisation)

  • Deployment (Model) Serving:
    Response time v/s throughput.
    Serving (NVIDIA Triton, vLLM, openvino model server, GRPG protocol, Tensorflow model server)

  • Model Telemetry: Performance monitoring, Data monitoring, Performance metrics, Behavioral Monitoring

  • MLOps: Key MLOps features, Preparing for Production, Deploying to Production, Continuous monitoring and learning, web deployment, hardware/mobile deployment

Module Name

Brief Description

AI Governance
  • Cost and Resource Management: Compute Cost optimization, Data Pipeline costs, Energy Efficiency

  • Ethical and Legal Considerations AI Ethics, Regulatory Consideration, AI Safety (via Illustration)

Project

Brief Description

Capstone Project

Deliver one comprehensive industry-grade solution - scoped for clarity and depth - that demonstrates end-to-end capability from data design to deployment, producing hiring-ready artifacts; example tracks include compact, efficient models for edge and on-device AI where smaller, faster models drive tangible business value.

Learn from architects behind production-grade AI solutions.

Sample Certificate

FEE STRUCTURE

Total Program Fee

INR 1,25,000 (+ GST)

Admission Fees
(included in total program fee)

INR 14,750

(inclusive of GST)
Application Fees
(one time)

INR 1,500

Fee payment by easy-EMIs with 0% interest. Click here to learn more.

While many labs use shared or open-source environments,
some advanced modules require enterprise cloud access. The associated usage costs are learner-funded.

A 3-Step Application Process

The most asked questions

BITS Pilani Digital is the Digital Learning Division of BITS Pilani, one of India’s most respected and future-driven institutions. It offers a range of rigorous, industry-aligned upskilling programs for technology professionals who want to stay at the forefront of innovation and continuously grow with the evolving digital world.

By combining BITS Pilani’s academic excellence with hands-on, practice-oriented learning, BITS Pilani Digital enables professionals to strengthen their expertise, advance their careers, and stay future-ready — without stepping away from their current roles.

The Professional Certificate in AI and MLOps is built for technology professionals who want to design and deploy real, production-grade AI systems.It combines academic excellence with practical, industry-aligned learning;enabling professionals to master the complete AI lifecycle with confidence.

Following are the distinctive features of this program:

  • It’s production-first, covering the end-to-end AI lifecycle (data, model, deployment, governance) with real-world projects and MLOps integration.
  • Industry-Aligned Capstone Project: Tackle a genuine AI business challenge designed with industry mentors.
  • 50% Practical Learning: Every module includes extensive hands-on labs and real-world projects.
  • Project-Based Evaluation: No exams or quizzes — assessment is entirely based on what you build and deploy.
  • Dual Mentorship Model: Learn from both BITS Faculty and industry experts who actively build AI systems.

End-to-End Coverage: From data pipelines and model engineering to deployment, monitoring, and AI governance.

This program is best suited for:

  • Software Developers working in the industry and aspiring to build AI products and applications.
  • Professionals seeking to transition into roles such as AI Engineer, MLOps Engineer, Full Stack AI Developer, or AI Product Engineer.
  • While the program is open to all eligible applicants, it is best suited for professionals with two or more years of work experience in software development.

Applicants holding a Bachelor’s degree and possessing relevant professional experience in software development are eligible to apply for this program. Candidates are also expected to have working knowledge of Python or other programming languages.

While the program is open to all eligible applicants, it is best suited for professionals with two or more years of work experience in software development. Applicants with less than two years of experience may also apply; however, they are advised to do so only if confident in their ability to fully benefit from the program’s advanced and application-oriented curriculum in artificial intelligence.

Offer of admission would be based only on BITS Pilani Digital- Admission Cell`s assessment of the overall application which includes the CV of the applicant , prior educational details, work exp information and other information submitted in the application form.

The program runs for approximately 36 weeks (8.5–9 months). It comprises 6 modules + 1 Capstone Project, delivered in a linear sequence, with each module building upon the previous one.

Weekly learning structure:

  • ~3+ learning hours of recorded video content
  • ~6 hours of hands-on projects/labs
  • 2 hour of live instructor-led session for deeper insights and discussions

Expect around 9-10 hours per week of total learning engagement, optimized for technology professionals who can pursue this program along with their jobs.

Over 25 tools, including: Airflow, MLflow, Kubeflow, Ray, Docker, Kubernetes, Prometheus, Grafana, NVIDIA Triton.

Yes. You'll develop and deploy a complete AI system through progressive modules and a capstone.