MLOps Career Guarantee Training & Placement

Become industry-skilled in DevOps, MLOps, AI, Cloud, and Engineering with a structured one-year career training program tailored for freshers. This will assist in the acquisition of technical skills needed to have successful careers in modern technology jobs through training, projects, interview preparation, communication development, internship, and placements.

Moreover, learn about AI DevOps and gain insight on how artificial intelligence can be implemented in modern DevOps development and infrastructure. Everything that you will need for building your career in technology, such as technical training, interview preparation, internships, and placements is included in this structured program. The program includes technical training in DevOps, MLOps, cloud technologies, artificial intelligence, engineering, and some new topics like generative AI in DevOps.

As per the structure of the program, the minimum CTC of the qualified learners should be ₹3 LPA, considering the eligibility criteria and terms of the program.

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Skills Covered

DevOps

Linux

Overview

End-to-End Career Path of One Year

The MLOps Career Guarantee Program is created as an end-to-end career transformation pathway, not only as a training program. Students will transition from training to projects, interviews preparation, and a four-month internship and placement phase.The program combines DevOps, MLOps, AI, and Cloud training together with labs, production projects, mock interviews, communication grooming, mentorship, internship exposure, and placement assistance. Learners will gain insight into the usage of AI in DevOps in automation, infra workflows, and modern engineering.

Core Curriculum

Build your technical foundation with the help of DevOps + MLOps + AI curriculum with infrastructure labs, portfolio projects, and capstone projects. As per the structure of the program, the core curriculum is a 280-hour program in 19 phases. Learners will be familiarized with the basics of AIOps, DevOps, MLOps, cloud engineering, automation, AI, and modern infra workflow concepts. Learners interested in artificial intelligence will also be given an opportunity to gain fundamental knowledge with the help of machine learning and AI course approach within the broader engineering curriculum.

Interview Preparation

Acquire all necessary knowledge and skills to pass technical and non-technical interviews with structured mock interviews, troubleshooting, system design preparation, behavioral interview skills, resume development, LinkedIn optimization, and salary negotiation. Interview preparation will include various career paths such as MLOps engineer course and DevOps, Cloud, and AI Engineer positions. Learn how to answer questions on infra, automation, AI-enabled ops, and AI for DevOps Training Course.

Production-Grade Projects

Work on mentor-reviewed projects in the context of engineering practices like code review, architecture review, deployment, and infra implementation. The program's main focus is not only the acquisition of theoretical knowledge but practical experience. Portfolio projects and capstone projects will allow learners to show their technical skills in interviews.

Internship & Placement

Attend a four-month internship with production tasks, industry mentorship, and performance evaluation. The placement phase will include role discovery, application, interview preparation, interview scheduling, and offer negotiation assistance.Such a career-oriented approach will be helpful to those learners who are looking for an MLOps course with placement that would combine technical education with practical industry experience.

Benefits of MLOps Career Guarantee Training & Placement

FUNDAMENTALS & KEY FEATURES

Learn DevOps, MLOps, AI, Cloud, and associated engineering technologies through a structured curriculum.
Acquire modern generative AI and MLOps course concepts and learn how AI technologies can be used in modern engineering workflow.
Acquire practical experience with hands-on labs, portfolio projects, and capstone projects.
Acquire the skills needed for an MLOps certification course while gaining practical experience in production-oriented engineering.
Become a production-focused engineer without theoretical knowledge reliance.
Attend structured mock interviews every 45 days with feedback and progress tracking.
Develop communication and soft skills together with technical training.
Create and develop your resume, LinkedIn profile, GitHub profile, and professional portfolio.
Prepare for DevOps, MLOps, Cloud, and AI Engineer interview tracks.
Build knowledge relevant to mlops course for DevOps engineers, especially for professionals moving to AI-enabled infrastructure and MLOps.
Acquire skills relevant to mlops course for cloud engineers, including modern cloud, automation, AI, and production engineering concepts.
Acquire system design, scenario-based problem solving, behavioral interviews, and technical communication skills.
Get four months of internship experience with production tasks.
Receive placement assistance that will include role discovery, applications, interview scheduling, and offer negotiation.
Build industry-oriented portfolio with production projects that you will be able to demonstrate in technical interviews.
Prepare for MLOps certification training by establish practical knowledge in DevOps, AI, Cloud, automation, and MLOPs.
Build a foundation for MLOps online course with certification learning path with technical learning and practical projects.
Acquire skills relevant to MLOps Certification Course Online learning path while gaining practical industry experience.
Move towards a minimum CTC of ₹3 LPA according to applicable eligibility criteria and program terms.

WHO SHOULD ENROLL IN THIS PROGRAM?

Freshers willing to start their careers in DevOps, MLOPs, Cloud, and AI.
Graduates of Bachelor of Computer Application (BCA), Master of Computer Application (MCA), Bachelor of Technology (B.Tech), Master of Technology (M.Tech), or equivalent degree programs.
Aspirants who are looking for a structured path from training to internships and placements.
Freshers interested in acquiring DevOps + MLOps + AI knowledge in practice and not only theoretically.
Aspirants who are looking to enhance their CVs with production projects and internship experience.
Freshers who require assistance with technical interview questions, communication rounds, system design, and behavioral interviews.
Aspirants who are interested in practical tech experience before joining a full-time technology job.
Learners interested in AI-enabled DevOps, automation, MLOPS, Cloud, and modern engineering practices.
Freshers ready to commit to the whole 12-month career development program.

WHY THIS PROGRAM WILL HELP TO GROW YOUR CAREER

Developing a career in technology is not just about enrolling in a course or earning a certification. The MLOPS Career Guarantee Program brings together technical learning, project-based learning, interview preparation, internship, and placement into a complete career-focused journey.

In the learning segment, learners will work on developing their technical skills in DevOps, MLOps, AI, Cloud, labs, and production projects. Moreover, they will get to know the current uses of AI in infrastructure and operations which include generative AI in DevOps applications.

In contrast, structured mock interviews, communication training, mentoring, and performance assessment will prepare learners for the actual recruitment process.

The interview preparation segment will focus on resume and LinkedIn optimization, technical interviews, system design, behavioral interviews, communication, and salary negotiation.

With the help of this program, learners will understand how to apply AI in DevOps applications which makes it very relevant for professionals who are interested in the area of AI DevOps and MLOPs.

Lastly, in the placement segment, learners will get four months of internship and placement assistance which will help them to gain practical experience and move closer to a full-time career.

12-Month Program Pathway

Months 1-7 → Core Learning

Gain technical skills with DevOps + MLOps + AI training, hands-on labs, portfolio projects, production projects, mock interviews, communication grooming, and mentorship.

Learners will build the foundation for modern MLOPs and AI-enabled engineering positions while gaining practical experience in cloud and infrastructure technologies.

Month 8 → Interview Preparation

Focus on:

Resume optimization
LinkedIn profile development
Technical interviews
System design
Behavioral interviews
Communication skills
Troubleshooting scenarios
Salary negotiation

Months 9-12 → Internship & Placement

Gain practical experience with production tasks, industry mentorship, performance management, and placement assistance.

This last phase is aimed at the transition from structured training to practical experience and full-time technology opportunities.

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Why Choose AP2V?

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Expert Trainers, Real-World Projects

Learn from globally certified trainers with industry expertise, using innovative training methods and exclusive live project work to ensure deep, practical skills

Career-Driven Skill Building

Get comprehensive career support through technical interview prep, resume workshops, applied project work, personality development, and continuous mentoring to make you job-ready and confident

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Join a respected institute with over 10 years of excellence, top global certifications, 50+ expert trainers, and consistent high student ratings focused entirely on your growth and future

Lifetime Guidance & Mentorship

Gain ongoing value with lifetime access to class recordings, continuous expert guidance, dedicated mentorship, and more—ensuring you always have support on your learning journey

Your Success, Our Commitment

Our dedicated placement team works for you, and all trainings are certificate-oriented with options for guaranteed certificates

MLOps Career Guarantee Training & Placement Curriculum

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Technical Head

AP2V Academy is a great place for learning. I have joined AP2V for DevOps training. Staff members are also good. The flexible batch facility also helps us. Thanks to the AP2V team

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