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6840+ Job Posting Available
Placements in AI Cloud Mlops Course: 1,342

AI Cloud MLOps Course Online with Certification

Learn how to build, deploy, automate, monitor, and maintain machine learning systems in the cloud with the AI Cloud MLOps Course. This training covers Python, MLflow, Docker, FastAPI, Kubernetes, AWS, Azure, and CI/CD so you can work on production-style AI and ML workflows, not just notebooks.

4.7/5 from 1,432 reviews
70% hands-on training with production-style practice
Tracks ML experiments, model versions, and deployment flow with MLflow
Covers Docker, FastAPI, Kubernetes, and cloud rollout work
Uses Git, GitHub, Linux, and Python the way MLOps teams do
Includes AI/LLMOps topics like prompt versioning and model monitoring
Built for learners targeting MLOps, cloud ML, and AI engineering roles
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14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

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6,400+ (Placed)

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Placement Record

We have placed 10,579 Students in AI Cloud Mlops Course

Microsoft logo
Google logo
Deloitte logo
Infosys logo
Zomato logo
Tech Mahindra logo
5.2 LPA
Pramod

Pramod

5.2 LPAServiceNow Developer

Prodapt
5.7 LPA
Vihaana

Vihaana

5.7 LPAAndroid Developer

Nextwebi
6 LPA
Navya

Navya

6 LPAAndroid Developer

Corsel Technologies
7 LPA
Karthik

Karthik

7 LPAAndroid Developer

appzoc
9 LPA
Sanjeev Sukla

Sanjeev Sukla

9 LPAAI Engineer

Tech Mahindra
5 LPA
Sukumar Roy

Sukumar Roy

5 LPAData Scientist

Accenture
8 LPA
Jagjith Rathode

Jagjith Rathode

8 LPAMachine Learning Engineer

Deloitte
4 LPA
Lipika Shah

Lipika Shah

4 LPAAI Engineer

Infosys
4 LPA
Kutumb Sharma

Kutumb Sharma

4 LPAAssociate Product Manager

Cognizant
3.45 LPA
Gheeta Kumari

Gheeta Kumari

3.45 LPANetwork Engineer

Cognizant
3.75 LPA
Venkatesh Iyengar

Venkatesh Iyengar

3.75 LPANOC Support Engineer

BharatHire.com
4.4 LPA
Lakshmi Menonon

Lakshmi Menonon

4.4 LPANetwork Administrator

Capgemini
9 LPA
Jagan Roy

Jagan Roy

9 LPAAI Engineer

goibibo
12 LPA
Sharmila

Sharmila

12 LPAData Engineer

TCS
16 LPA
Rahul Rai

Rahul Rai

16 LPAData Engineer

atlys
5.1 LPA
Pawan Singh

Pawan Singh

5.1 LPARPA Developer

Infosys
7.83 LPA
Narayan

Narayan

7.83 LPARPA Business Analyst

Capgemini
5.55 LPA
Sima

Sima

5.55 LPAData Scientist

TATA
40 LPA
Joseph

Joseph

40 LPAAWS Devops Engineer

Amazon
25 LPA
Sameer

Sameer

25 LPASalesforce Developer

Salesforce
30 LPA
Savitha Iyer

Savitha Iyer

30 LPAProject Administrator

Amazon
20 LPA
Jayanthi

Jayanthi

20 LPADigital Marketing Specialist

Zomato
12 LPA
Sangeetha

Sangeetha

12 LPASocial Media Manager

Rubrik
8 LPA
Kishore

Kishore

8 LPADigital Marketing Analyst

Wipro
8.5 LPA
Rekha

Rekha

8.5 LPAPerformance Marketer

Atlassian
4.3 LPA
Jestina

Jestina

4.3 LPADigital marketing specialist

zensar technologies
8 LPA
Sasidharan

Sasidharan

8 LPAPerformance Marketer

atlys
4.3 LPA
Vanaya

Vanaya

4.3 LPAAI Engineer

zensar technologies
7.5 LPA
Jyoti

Jyoti

7.5 LPAData Engineer

Velocity
4.5 LPA
Kaushik

Kaushik

4.5 LPASalesforce Developer

Tech Mahindra
8.45 LPA
Rohini

Rohini

8.45 LPAComputer Vision Engineer

nvidia
5 LPA
Shravya

Shravya

5 LPASAP FICO Analyst

accenture
5.8 LPA
Sandhya

Sandhya

5.8 LPASAP FICO Analyst

Sonata Software
4.2 LPA
Abhiram

Abhiram

4.2 LPAServicenow Developer

Prodapt
4.8 LPA
Krishna

Krishna

4.8 LPATOSCA Automation Engineer

Hexaware
8 LPA
Aqib

Aqib

8 LPAData Engineer

Tiger Analytics
8 LPA
Rohan

Rohan

8 LPATosca Test Analyst

Cognizant
10 LPA
Muskan

Muskan

10 LPAMachine Learning Engineer

Fractal
4.4 LPA
Ritika

Ritika

4.4 LPATosca Administrator

QualityAI
5.7 LPA
Aliya

Aliya

5.7 LPAML Engineer

Mu Sigma
6 LPA
Amith

Amith

6 LPADevops Engineer

Meesho
7.15 LPA
Asha

Asha

7.15 LPADevSecOps Engineer

netsmartz
6.3 LPA
Anamika

Anamika

6.3 LPAAI Engineer

Fractal
7 LPA
Sai Krishna

Sai Krishna

7 LPAMLOps Engineer

First Source
5 LPA
Prachi

Prachi

5 LPAHR Executive

ABC Consultants
7 LPA
Rafiya

Rafiya

7 LPAData Scientist

Tredence
10 LPA
Rudra Lakshmi

Rudra Lakshmi

10 LPABrand Marketing Specialist

gojek
8.2 LPA
Andro

Andro

8.2 LPAAI Engineer

Fractal

Placement Assistance for AI Cloud MLOps Course

Learning the tools is only half the job. The harder part is turning that into interview readiness, project proof, and a profile that fits MLOps hiring screens. Inventateq supports that shift with resume work, project guidance, mock interviews, and role-specific preparation for cloud ML and deployment-focused jobs.

Support is built around the course timeline, not pushed to the end. As the projects progress, learners prepare GitHub repos, document workflows, refine their resume for MLOps roles, and move into interview practice with deployment, monitoring, and cloud questions.

Our Signature Career Support:

  • Resume help focused on MLOps Engineer, ML Engineer, and Cloud ML Engineer roles
  • GitHub portfolio support for model tracking, deployment, and monitoring projects
  • Mock interviews based on Python, Docker, MLflow, Kubernetes, and CI/CD
  • Project review and correction before you present it in interviews
  • Career guidance for junior MLOps, AI infrastructure, and ML deployment roles

AI Cloud MLOps Salary Insights

MLOps and cloud ML roles are hired across IT services, product companies, SaaS teams, startups, and enterprise data teams. Pay rises with hands-on depth in deployment, automation, and monitoring, especially when a learner can explain the full ML lifecycle clearly.

AI Cloud MLOps Average Salary by Experience

Why Students Choose Our AI Cloud MLOps Course Online?

4.7/5 Google Rating | 1,432+ Verified Reviews

4.7 / 5

By Google Reviews

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4.7 / 5

By Justdial

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4.7 / 5

By Sulekha Courses

4.7 / 5

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Success Result: Our students are competing at global levels. Watch their placement journey here.

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

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Salesforce Administrator @ Deloitte - 15 LPA

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RPA Developer @ IBM - 20 LPA

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Talent Acquisition Executive @ Tech Mahindra - 12 LPA

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AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

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QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

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Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

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Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

Bigdata Hadoop Placement Success Stories

Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

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GOOGLE RATING

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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq

Inventateq has built a strong training model around practical, job-focused IT learning, and this AI Cloud MLOps Course follows that same discipline. Learners get structured teaching, guided practice, and a clear path from concepts to project work, which matters when the subject spans Python, cloud, deployment, and monitoring. The online format keeps the learning accessible without weakening the hands-on standard.

We stand apart through our commitment to:

  • Years of training experience across job-oriented technical programs
  • Curriculum structure built around practical learning and repeated lab work
  • Classes are organized to help learners move from basics to job-ready execution
  • Students from different backgrounds use the same support system and project flow
  • Dedicated academic and career guidance stays aligned with course progress
 classes
Live Online
Remote Learning

Inventateq Online Live Classes

Online training runs live, with screen-sharing, code walkthroughs, and project demonstrations that mirror the classroom pace. Learners can join from anywhere, follow the same labs in Python, MLflow, FastAPI, and cloud tools, and ask questions during the session instead of waiting for recorded content.

100% Live Instructor-Led Online Classes
Dedicated Doubt-Solving Sessions with Mentors
Study Guides, PPTs, and Exam Guidance Included
Class Recordings and Backup Sessions for Missed Classes
Flexible Weekday and Weekend Batch Timings
Career Guidance and Interview Preparation Support

Details of Inventateq AI Cloud MLOps Course

Freshers

Learners starting from Python and basic ML fundamentals can use the foundation support before core MLOps topics.

Working professionals

Developers, analysts, and testers who want to move into cloud ML, deployment, or automation roles.

Career switchers

People shifting from support, data, or IT operations into a production AI track.

Non-IT learners

Anyone with steady logic, basic Python interest, and the discipline to practice hands-on can fit here.

Year-gap candidates

Learners returning after a break can rebuild skills through structured modules and projects.

Cloud-curious learners

Students who want to understand how ML models move from notebook to cloud deployment.

Quick Highlights of Inventateq AI Cloud MLOps Course

A short, intensive format designed for working through the full ML deployment stack.

  • Duration: 2 months of structured training.

  • Training split: 30% concepts and 70% practical work.

  • Level: Beginner to intermediate.

  • Format: Live online training with certification.

AI Cloud MLOps Course Curriculum

1. Module 1: Introduction to AI, ML & MLOps (Week 1)

W1
  • AI, ML, and deep learning overview
  • What MLOps is and why it exists
  • Why traditional ML projects fail after development
  • ML lifecycle from data to deployment and monitoring
  • DevOps versus MLOps, plus the role of an MLOps engineer

2. Module 2: Python, Linux & Git for MLOps (Week 2)

W2
  • Python for production ML using functions, modules, virtual environments, and package management
  • Linux commands, permissions, environment variables, shell scripting, and process control
  • Git and GitHub workflows including branching, merging, pull requests, and tags
  • Logging, configuration management, requirements files, and code organization
  • Creating a production-style ML repository with proper structure

3. Module 3: Machine Learning Model Development for MLOps (Week 3)

W3
  • Data preparation, feature engineering, and train/validation/test split
  • Classification and regression model building
  • Evaluation metrics such as accuracy, precision, recall, F1-score, ROC-AUC, RMSE, and MAE
  • Cross-validation, hyperparameter tuning, and model selection
  • Reusable training scripts, model saving/loading, and configuration-driven training

4. Module 4: MLflow – Experiment Tracking & Model Management (Week 4)

W4
  • MLflow setup and experiment tracking
  • Logging parameters, metrics, artifacts, runs, and comparisons
  • Using the MLflow UI and tracking server
  • Model registry, versioning, metadata, tags, aliases, and promotion
  • Registering, loading, and deploying tracked models

5. Module 5: Docker & Containerization for ML (Week 5)

W5
  • Containerization basics, Docker architecture, images, and containers
  • Dockerfile creation, commands, volumes, and networks
  • Docker Compose for ML application setup
  • Packaging ML models and dependencies for consistent deployment
  • Building a containerized prediction API with REST endpoints

6. Module 6: FastAPI & Model Deployment (Week 6)

W6
  • REST API fundamentals and FastAPI basics
  • Endpoints, request and response handling, JSON, validation, and documentation
  • Model inference routes such as predict and health checks
  • API testing with Swagger and deployment of the model endpoint
  • Real-time prediction API creation with production-style structure

7. Module 7: CI/CD for Machine Learning (Week 7)

W7
  • CI/CD basics and how it differs from traditional deployment
  • GitHub Actions and Jenkins fundamentals
  • Automated testing, build pipelines, and deployment pipelines
  • Docker image creation and environment management in ML delivery
  • Rollback strategies and automated ML application release flow

8. Module 8: Cloud Fundamentals for MLOps (Week 8)

W8
  • Cloud computing concepts: compute, storage, networking, IAM, security, databases, and monitoring
  • AWS services such as EC2, S3, IAM, ECR, Lambda fundamentals, and SageMaker overview
  • Azure services including Virtual Machines, Blob Storage, ACR, Azure ML, and Azure Monitor
  • Google Cloud services including Compute Engine, Cloud Storage, Artifact Registry, and Vertex AI overview
  • Deploying containers, uploading artifacts, configuring access, and understanding cloud ML architecture

9. Module 9: Kubernetes for MLOps (Week 9)

W9
  • Kubernetes fundamentals and architecture
  • Pods, deployments, services, ConfigMaps, secrets, namespaces, and scaling
  • Deploying ML APIs and exposing model services
  • Horizontal scaling, rolling updates, and resource management
  • Running containerized ML workloads in a managed cluster

10. Module 10: ML Pipelines & Workflow Automation (Week 10)

W10
  • ML pipeline architecture from ingestion to deployment
  • Data validation, feature engineering, model training, evaluation, registration, and deployment steps
  • Airflow fundamentals and Kubeflow fundamentals
  • Cloud-native pipeline automation and continuous training
  • Building a workflow that retrains and registers models when new data arrives

11. Module 11: Model Monitoring & Production MLOps (Week 11)

W11
  • Why model monitoring matters in production
  • Performance monitoring, data quality monitoring, drift detection, and prediction tracking
  • Latency monitoring, infrastructure checks, logging systems, and cloud monitoring services
  • Prometheus, Grafana, and MLflow monitoring capabilities
  • Creating dashboards and alerts for model degradation and input changes

12. Module 12: AI/LLM MLOps & Production AI (Week 12)

W12
  • Traditional ML versus generative AI operations
  • LLM deployment lifecycle and model/API selection
  • Prompt versioning, evaluation, observability, and cost monitoring
  • Latency optimization and version-controlled AI applications
  • Deploying and tracking a production-style AI assistant

13. Projects, Interview Prep & Capstone (Week 13)

W13
  • Customer churn prediction MLOps project
  • Cloud-based fraud detection system
  • Automated model retraining pipeline using workflow tools
  • Production AI assistant with cloud deployment and monitoring
  • End-to-end cloud MLOps platform, plus resume and mock interview preparation

Student Reviews – AI Cloud Mlops Course

4.7 Star Rating from 1,432+ Google Reviews

Vibhu Rajesh

Vibhu Rajesh

3.3 LPA • Soft India

The learning experience at Inventateq is unparalleled. The trainers are not just knowledgeable but also passionate about teaching. They make complex topics easy to understand. I am extremely satisfied with the quality of education I received here.

Lakshmi Iyer

Lakshmi Iyer

30 LPA • Google India

Inventateq is a beacon of hope for aspiring professionals. Their practical approach to learning and emphasis on skill development make them stand out. The mentors provide individualized attention, nurturing each student's strengths. I owe my success to their guidance.

Mohammed Basha

Mohammed Basha

14.8 LPA • Lenovo

I cannot speak highly enough of Inventateq. Their commitment to student success is evident in every aspect of their training program. The hands-on projects and real-world simulations prepare students for the challenges of the industry. Truly a transformative experience!

Meera Nair

Meera Nair

10 LPA • Tech Mahindra

Inventateq is the epitome of excellence in industry-aligned training. The personalized attention from mentors sets them apart. The placement support provided by them is top-notch. I'm grateful for their unwavering support throughout my journey.

Shaik Shaheed

Shaik Shaheed

6.5 LPA • Aptus Data Labs

Inventateq gave me practical training and interview prep that helped me land my dream role. Mentors were always available to clear doubts and guide me through every step of the placement process.

Nikita Jain

Nikita Jain

15 LPA • Accenture

The placement support team connected me with top brands. Resume sessions and mock interviews made a huge difference in my confidence during campus drives and off-campus interviews.

Manikanta Saladi

Manikanta Saladi

40 LPA • AWS

Industry-focused curriculum and real-time projects prepared me for cloud roles. I highly recommend Inventateq to every aspiring developer looking for serious career growth.

Priya Sharma

Priya Sharma

18 LPA • Microsoft

Personalised courses and dedicated mentors helped me switch careers successfully. The learning environment is supportive, professional, and focused on real outcomes.

Sandhya Bm

Sandhya Bm

— • Inventateq

I had a very good learning experience with Inventateq. The SAP FICO training was well-structured and covered both theoretical concepts and practical scenarios. The trainers were knowledgeable, supportive, and always ready to clarify doubts. The hands-on exercises and real-time examples helped me understand SAP FICO processes better. The course has improved my confidence in working with SAP and preparing for SAP-related job opportunities. I would recommend Inventateq to anyone looking to build their career in SAP FICO.

Gokul A

Gokul A

— • Inventateq

I enrolled in the Salesforce Admin course at Inventateq. The institute provides quality technical training with experienced trainers and useful learning materials. The sessions are practical-oriented, and trainers clarify doubts clearly, which helped me understand the concepts better. Overall, I am satisfied with the course and the learning environment. One area where the institute can improve is by including more soft skills training, communication development, and interview preparation sessions. Adding these would help students become more confident and industry-ready for placements and real-world opportunities.

Shaik Misrath

Shaik Misrath

— • Inventateq

I had an excellent learning experience with Inventateq Training Institute. The support and teaching quality were outstanding. Nikitha was extremely helpful in managing demos, classes, and addressing all queries in a timely and professional manner. Bharannidharan Sir provided in-depth knowledge of Cloud Security with clear explanations and real-world insights. His guidance and support made learning both effective and enjoyable. I highly recommend Inventateq to anyone looking to build a strong career in cloud and cybersecurity.

Maheswaran M

Maheswaran M

— • Inventateq

It’s a great place to learn big data Hadoop and trainer is more supportive once after completing the course but our efforts are also more important to get the job and train better. Thank you inventateq for your support and guidance.

Manaswini Kolupula

Manaswini Kolupula

— • Inventateq

Inventateq Institute Bangalore offers quality technical training with experienced trainers and helpful learning materials. The classes are practical-oriented and doubts are clarified properly. Overall, I am satisfied with the course training. However, adding soft skills, communication skills, and interview preparation sessions would greatly enhance the overall learning experience and make students more industry-ready.

MUKTHA C V

MUKTHA C V

— • Inventateq

I completed the Data Science course at Inventateq Institute. The training covered Python, Statistics, and Machine Learning libraries like NumPy, Pandas, and Scikit-learn with practical examples. Overall, it was a good learning experience and I sincerely thank the trainers for their support and guidance.

srikruthi n

srikruthi n

— • Inventateq

Excellent way of teaching with examples. Easy to understand. Crisp and clear. Highly knowledgeable and experienced sir. Practiced calculations alot. Highly recommend payroll online class . Teched very patiently. Thank you so much for everything sir.

Thejaswini Asundi

Thejaswini Asundi

— • Inventateq

I completed the Data Science course at Inventateq. The training was practical and easy to understand. Trainer was supportive, and the course helped me improve my skills. Good place to learn Data Science.

Heemanshu Mahadeva

Heemanshu Mahadeva

— • Inventateq

I enrolled for Salesforce Admin course here. From the day one support was genuine and honest.They listen to your concern and fedback regarding the course. My sincere thanks to Nikitha and Tutor Jai Yadav.

Bindhiya gowda

Bindhiya gowda

— • Inventateq

I completed a Data Science course at Inventateq, and it was an incredibly valuable experience. The training was comprehensive, covering essential topics like Python, Machine Learning algorithms, Data Visualization, and real-world project implementation. The instructors were knowledgeable and always ready to clarify doubts with practical examples. The hands-on approach, combined with real-time case studies and assignments, helped me strengthen my understanding and build confidence in applying concepts to real data. It gave me a great boost as I transitioned into applying for data science roles. I highly recommend Inventateq to anyone looking to begin or transition into the field of Data Science.

sanhita dawn

sanhita dawn

— • Inventateq

I joined Inventateq for the Digital Marketing course, and it was a very good experience. Arif sir was extremely helpful and supportive. He explained everything clearly and with great care. His teaching style made the concepts easy to understand. Overall, I’m very satisfied with the training and truly appreciate his guidance.

uma bn

uma bn

— • Inventateq

I joined the HR course, and the teaching is good. It has helped me a lot, and the coordinators are very supportive.

Dhanush D

Dhanush D

— • Inventateq

I completed my Salesforce Admin and developer course at Inventateq training institute, Btm Layout. The trainer was very friendly and teaching very clearly and understand the topics and most of the topics has explained with real time examples and individual guidance makes learning very easy and effective, also trainer was very clearly guide me about interview preparations. I had an amazing experience and also give the good placement support. Thank u Inventateq

Asim Ali

Asim Ali

— • Inventateq

I have done AWS DevOps course in inventateq institute located in btm layout bangalore, the trainer’s deep expertise and practical exercises made complex topics easy to grasp. I now working in a IT Company as a Cloud Engineer with a good salary.

Ganesh K S

Ganesh K S

— • Inventateq

Inventateq provides the Aspirant an In depth knowledge of SAP MM and makes them proficient in using the software. Course training will make learner expertise in the software and provides the chances of grabbing good job opportunities in this domain.

aditya singh

aditya singh

— • Inventateq

I had a great learning experience at this institute. The faculty was knowledgeable and supportive, and the curriculum was well-structured, covering all the important concepts in depth. A good place to learn skills like Data Science and other tech courses.

Vibhu Rajesh

Vibhu Rajesh

3.3 LPA • Soft India

The learning experience at Inventateq is unparalleled. The trainers are not just knowledgeable but also passionate about teaching. They make complex topics easy to understand. I am extremely satisfied with the quality of education I received here.

Lakshmi Iyer

Lakshmi Iyer

30 LPA • Google India

Inventateq is a beacon of hope for aspiring professionals. Their practical approach to learning and emphasis on skill development make them stand out. The mentors provide individualized attention, nurturing each student's strengths. I owe my success to their guidance.

Mohammed Basha

Mohammed Basha

14.8 LPA • Lenovo

I cannot speak highly enough of Inventateq. Their commitment to student success is evident in every aspect of their training program. The hands-on projects and real-world simulations prepare students for the challenges of the industry. Truly a transformative experience!

Meera Nair

Meera Nair

10 LPA • Tech Mahindra

Inventateq is the epitome of excellence in industry-aligned training. The personalized attention from mentors sets them apart. The placement support provided by them is top-notch. I'm grateful for their unwavering support throughout my journey.

Shaik Shaheed

Shaik Shaheed

6.5 LPA • Aptus Data Labs

Inventateq gave me practical training and interview prep that helped me land my dream role. Mentors were always available to clear doubts and guide me through every step of the placement process.

Nikita Jain

Nikita Jain

15 LPA • Accenture

The placement support team connected me with top brands. Resume sessions and mock interviews made a huge difference in my confidence during campus drives and off-campus interviews.

Manikanta Saladi

Manikanta Saladi

40 LPA • AWS

Industry-focused curriculum and real-time projects prepared me for cloud roles. I highly recommend Inventateq to every aspiring developer looking for serious career growth.

Priya Sharma

Priya Sharma

18 LPA • Microsoft

Personalised courses and dedicated mentors helped me switch careers successfully. The learning environment is supportive, professional, and focused on real outcomes.

Sandhya Bm

Sandhya Bm

— • Inventateq

I had a very good learning experience with Inventateq. The SAP FICO training was well-structured and covered both theoretical concepts and practical scenarios. The trainers were knowledgeable, supportive, and always ready to clarify doubts. The hands-on exercises and real-time examples helped me understand SAP FICO processes better. The course has improved my confidence in working with SAP and preparing for SAP-related job opportunities. I would recommend Inventateq to anyone looking to build their career in SAP FICO.

Gokul A

Gokul A

— • Inventateq

I enrolled in the Salesforce Admin course at Inventateq. The institute provides quality technical training with experienced trainers and useful learning materials. The sessions are practical-oriented, and trainers clarify doubts clearly, which helped me understand the concepts better. Overall, I am satisfied with the course and the learning environment. One area where the institute can improve is by including more soft skills training, communication development, and interview preparation sessions. Adding these would help students become more confident and industry-ready for placements and real-world opportunities.

Shaik Misrath

Shaik Misrath

— • Inventateq

I had an excellent learning experience with Inventateq Training Institute. The support and teaching quality were outstanding. Nikitha was extremely helpful in managing demos, classes, and addressing all queries in a timely and professional manner. Bharannidharan Sir provided in-depth knowledge of Cloud Security with clear explanations and real-world insights. His guidance and support made learning both effective and enjoyable. I highly recommend Inventateq to anyone looking to build a strong career in cloud and cybersecurity.

Maheswaran M

Maheswaran M

— • Inventateq

It’s a great place to learn big data Hadoop and trainer is more supportive once after completing the course but our efforts are also more important to get the job and train better. Thank you inventateq for your support and guidance.

Manaswini Kolupula

Manaswini Kolupula

— • Inventateq

Inventateq Institute Bangalore offers quality technical training with experienced trainers and helpful learning materials. The classes are practical-oriented and doubts are clarified properly. Overall, I am satisfied with the course training. However, adding soft skills, communication skills, and interview preparation sessions would greatly enhance the overall learning experience and make students more industry-ready.

MUKTHA C V

MUKTHA C V

— • Inventateq

I completed the Data Science course at Inventateq Institute. The training covered Python, Statistics, and Machine Learning libraries like NumPy, Pandas, and Scikit-learn with practical examples. Overall, it was a good learning experience and I sincerely thank the trainers for their support and guidance.

srikruthi n

srikruthi n

— • Inventateq

Excellent way of teaching with examples. Easy to understand. Crisp and clear. Highly knowledgeable and experienced sir. Practiced calculations alot. Highly recommend payroll online class . Teched very patiently. Thank you so much for everything sir.

Thejaswini Asundi

Thejaswini Asundi

— • Inventateq

I completed the Data Science course at Inventateq. The training was practical and easy to understand. Trainer was supportive, and the course helped me improve my skills. Good place to learn Data Science.

Heemanshu Mahadeva

Heemanshu Mahadeva

— • Inventateq

I enrolled for Salesforce Admin course here. From the day one support was genuine and honest.They listen to your concern and fedback regarding the course. My sincere thanks to Nikitha and Tutor Jai Yadav.

Bindhiya gowda

Bindhiya gowda

— • Inventateq

I completed a Data Science course at Inventateq, and it was an incredibly valuable experience. The training was comprehensive, covering essential topics like Python, Machine Learning algorithms, Data Visualization, and real-world project implementation. The instructors were knowledgeable and always ready to clarify doubts with practical examples. The hands-on approach, combined with real-time case studies and assignments, helped me strengthen my understanding and build confidence in applying concepts to real data. It gave me a great boost as I transitioned into applying for data science roles. I highly recommend Inventateq to anyone looking to begin or transition into the field of Data Science.

sanhita dawn

sanhita dawn

— • Inventateq

I joined Inventateq for the Digital Marketing course, and it was a very good experience. Arif sir was extremely helpful and supportive. He explained everything clearly and with great care. His teaching style made the concepts easy to understand. Overall, I’m very satisfied with the training and truly appreciate his guidance.

uma bn

uma bn

— • Inventateq

I joined the HR course, and the teaching is good. It has helped me a lot, and the coordinators are very supportive.

Dhanush D

Dhanush D

— • Inventateq

I completed my Salesforce Admin and developer course at Inventateq training institute, Btm Layout. The trainer was very friendly and teaching very clearly and understand the topics and most of the topics has explained with real time examples and individual guidance makes learning very easy and effective, also trainer was very clearly guide me about interview preparations. I had an amazing experience and also give the good placement support. Thank u Inventateq

Asim Ali

Asim Ali

— • Inventateq

I have done AWS DevOps course in inventateq institute located in btm layout bangalore, the trainer’s deep expertise and practical exercises made complex topics easy to grasp. I now working in a IT Company as a Cloud Engineer with a good salary.

Ganesh K S

Ganesh K S

— • Inventateq

Inventateq provides the Aspirant an In depth knowledge of SAP MM and makes them proficient in using the software. Course training will make learner expertise in the software and provides the chances of grabbing good job opportunities in this domain.

aditya singh

aditya singh

— • Inventateq

I had a great learning experience at this institute. The faculty was knowledgeable and supportive, and the curriculum was well-structured, covering all the important concepts in depth. A good place to learn skills like Data Science and other tech courses.

Rated 4.9/5 by AI Students

Why Learn AI Cloud MLOps Today?

Teams are no longer asking for model-building alone. They want people who can train, package, deploy, monitor, and improve machine learning systems in the cloud. That is why AI Cloud MLOps, Cloud MLOps Classes, and MLOps Training with AI are drawing attention across product, enterprise, and services teams.

Why Students Start Learning AI Cloud MLOps

  • The role connects Python, cloud, automation, and monitoring in one practical skill set.
  • Hiring teams look for people who can move beyond notebooks and into production-ready delivery.
  • The course stays relevant because it includes MLflow, Docker, FastAPI, Kubernetes, and cloud platforms used in real workflows.
  • Inventateq teaches the subject through projects, so learners can explain systems instead of memorizing terms.
  • The training stays aligned with current MLOps hiring needs, including AI/LLMOps and observability topics.

Build Real AI Cloud MLOps Skills for Production Roles

By the end of the course, learners can work through the full lifecycle of a machine learning system, from training and versioning to deployment and monitoring. The training also builds interview-ready project experience that can be presented with clarity.

Turn a notebook model into a production workflow

You will learn how to move beyond exploratory code and structure an ML project for deployment. That includes proper Python organization, version control, logging, configuration, and model packaging.

Track and compare experiments with MLflow

You can log parameters, metrics, artifacts, and runs, then use the registry to manage model versions. This is the kind of practical proof interviewers expect in MLOps and ML engineering screens.

Package ML applications with Docker

You will be able to build images, manage dependencies, and keep deployment environments consistent. That matters when a trained model has to run the same way on a laptop, server, or cloud host.

Build real-time prediction APIs with FastAPI

You will create endpoints, validation schemas, health routes, and response handling for ML inference. This helps you present a model as a usable service instead of a static file.

Automate releases with CI/CD and cloud delivery

You can design a push-to-test-to-build-to-deploy workflow using GitHub Actions and deployment concepts. That skill is central to MLOps roles that expect speed without losing control.

Monitor production AI systems and retraining triggers

You will understand drift, latency, logging, and performance checks, plus how retraining flows start from new data. This gives you the vocabulary and workflow knowledge needed for production AI and LLMOps discussions.

Detailed Insights :: AI Cloud MLOps Course Training Online

Students Most Asked Questions

Is this course suitable for freshers?

Yes. The program starts from a beginner to intermediate level and can cover foundation topics before the core MLOps modules. Freshers who are comfortable practicing Python and basic ML concepts can follow it well.

Will I get hands-on project experience?

Yes, the course is heavily practical and uses a 70% hands-on format. You will work on deployment, tracking, containerization, CI/CD, cloud, monitoring, and capstone projects that can be shown in interviews.

Does Inventateq provide placement assistance for this course?

Yes, support is built around job readiness rather than just certificate completion. It includes resume help, project presentation support, mock interviews, and role-focused preparation for MLOps and cloud ML positions.

Can learners from non-IT backgrounds join?

They can, if they are willing to start with the foundation modules and put in regular practice. A basic comfort with Python, logic, and technical learning helps, but the course is structured to guide learners step by step.

Is the training live online?

Yes, the course is delivered live online with instructor-led sessions. Learners can follow code, ask questions, and work through the labs in real time instead of relying only on recorded videos.

How long is the AI Cloud MLOps Course?

The course duration is 2 months. The structure is designed to move through the full workflow efficiently, from core MLOps concepts to projects and capstone work.

What salary can I expect after completing the course?

Salary depends on role, experience, project depth, and interview performance. Entry-level roles can start around the lower MLOps band, while learners with stronger deployment and cloud project evidence can target higher packages as they gain experience.

Join Inventateq Career Guidance Program.

Launch your fastest career with Inventateq! Our program equips you with in-demand skills to unlock insights from big data and land your dream job. Join us and become a career hero!