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AI Product Engineering (Production LLMs, MLOps, Deployments)
Master AI product engineering with production LLMs, MLOps, and deployment strategies. Learn to design, scale, and manage AI systems in real-world environments.
AI Product Engineering (Production LLMs, MLOps, Deployments)
Comprehensive Syllabus Outline
A comprehensive curriculum designed to take you from beginner to professional.
Projects Portfolio
AI Product Engineering (Production LLMs, MLOps, Deployments)
Build a portfolio of production‑ready AI projects that showcase your ability to fine‑tune, deploy, and manage large language models with MLOps pipelines.
Tech Stack
Master the essential frameworks, platforms, and tools for deploying production‑ready AI systems.
Course Stats
₹16.5 LPA
Average Salary₹52 LPA
Highest Salary95%
Salary Hike12,300+
Job VacanciesKey Features
Mentorship
Receive guidance and insights from industry expertsHands-on Experience
Gain practical skills in a real-world cutting-edge projects.Networking
Connect with professionals and peers in your fieldSkill Development
Enhance your technical and soft skillsCareer Advancement
Boost your resume with valuable experienceDual Certificate
Get a certification to showcase your achievementsLet Your Certificates Speak For You
Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.
Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.
Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.
Where Our Learners Work
Our alumni are driving innovation at the world's most prestigious technology companies.
Why Pantech?
An expert-crafted learning infrastructure built for technical fluency.
Industrial Expert Mentors
Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.
24/7 Interactive Support
Ask coding doubts anytime on our student community workspace and receive instant assistance.
Self-Paced Learning Engine
Access lifetime recorded modules with adaptive pacing to balance academics and professional work.
Career Guidance Support
Exclusive resume review, mock interviews, and placement assistance from industry experts.
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What Our Students Say
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Frequently Asked Questions
Find instant answers to all common questions about our technical certificate courses.
Basic knowledge of Python and ML concepts is recommended, but the course introduces LLMs, MLOps, and deployment workflows step‑by‑step, making it accessible to engineers with software or data backgrounds.
You’ll build production‑ready AI projects such as an LLM‑powered customer support assistant, a recommendation microservice with CI/CD, and a real‑time inference pipeline with autoscaling and monitoring dashboards.
You’ll have 90 days of access to all lessons, projects, and resources, allowing you to learn and practice at your own pace.
Yes. You’ll learn to fine‑tune LLMs, design APIs with FastAPI, containerize with Docker, orchestrate with Kubernetes, and integrate monitoring tools like Prometheus and Grafana for production reliability.
This specialization equips you for roles in AI product engineering, MLOps engineering, cloud AI deployment, and machine learning infrastructure, helping you transition into high‑impact positions in applied AI.
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