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

MLOps Course in Bangalore with Placement

Learn AI Cloud MLOps with 30% concepts and 70% practical training. You will work with Python, MLflow, Docker, FastAPI, GitHub Actions, Kubernetes, AWS, Azure, and Google Cloud fundamentals to build, deploy, monitor, and automate ML applications in production.

4.7/5 from 1,432 reviews
2-month course with beginner-to-intermediate progression
Hands-on training built around real MLOps workflows
Python, Git, Docker, MLflow, FastAPI, and Kubernetes included
Cloud deployment practice across AWS, Azure, and Google Cloud fundamentals
Covers CI/CD, monitoring, model registry, and automation
Placement support aligns your projects with MLOps and AI engineering roles
Job Interview
Guarantee Program

14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

Career Gap Fillers

6,400+ (Placed)

Upskilling Success

24,999

In 60 Days + Placement

Course Fee:₹24,999
Duration:60 Days
Mode:Offline and Online

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Placement Record

We Have Placed 10,432+ Students

Microsoft logo
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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
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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 MLOps Course in Bangalore

We prepare you for the hiring process with practical support that fits the MLOps job market. The focus is on presenting your project work clearly, handling technical interviews with confidence, and showing the production skills recruiters expect for MLOps, ML engineering, and cloud AI roles.

Support starts during the course and continues through the final project stage. We guide you on how to present deployment pipelines, monitoring work, and cloud architecture in a way that matches real interview expectations.

Our Signature Career Support:

  • Resume structure guidance for MLOps, ML Engineer, and Cloud ML Engineer roles
  • Portfolio review focused on GitHub projects, deployment work, and documentation
  • Mock interviews covering technical questions, project discussion, and HR rounds
  • Career mentoring for fresher and career-switcher profiles
  • Referral-oriented preparation based on your completed course projects

MLOps Salary Insights in Bangalore

Bangalore hires for MLOps, cloud AI, and machine learning deployment roles across product companies, startups, and enterprise teams. Salary grows as you move from support-style implementation work to owning deployment, automation, and production monitoring.

Average Salary by Experience

Why Students Choose Our MLOps Course in Bangalore?

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

4.7 / 5

By Google Reviews

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4.7 / 5

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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

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

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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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq Bangalore

Inventateq has built training programs that stay close to practical hiring needs, and that consistency matters in a subject like AI Cloud MLOps. Our Bangalore classroom and live online support are structured to help learners move from basic ML knowledge into production deployment, monitoring, and automation with confidence.

We stand apart through our commitment to:

  • Years of training experience in software, cloud, and data programs
  • Course delivery built around practical lab work, not only presentations
  • Structured learning support for beginners and working professionals
  • Bangalore learner base across engineering, IT, and data backgrounds
  • Consistent guidance on projects, interview preparation, and course completion

Choose Your Learning Mode

Flexible options tailored to your schedule — attend in-person or join from anywhere

 classes
In-Person
Classroom Batches

Inventateq Offline Batches

Our offline MLOps classes in Bangalore run as guided sessions where you can ask questions while you build. You work through Python, MLflow, Docker, FastAPI, cloud deployment, and monitoring with direct faculty support, which makes it easier to correct mistakes early and keep your project moving.

BTM Layout|
Marathahalli|
Rajajinagar
Dedicated classroom batches for Generative AI for Software Development
Hands-on labs and practical learning
Direct interaction with experienced instructors
Opportunities to learn and practise with fellow students
 classes
Live Online
Remote Learning

Inventateq Online Live Classes

The live online batch follows the same course flow as the classroom program. You attend real-time sessions, practise the labs on your own system, and get mentor support while working through deployment, automation, and monitoring tasks from home.

100% instructor-led live online classes
Dedicated support for technical questions
Learning guides, PDFs, PPTs, and certification guidance
Backup classes and session recordings when you miss a class

New Batch Starting!

Join the 2026 cohort and secure your future. Limited seats per batch for personalized attention.

03Days
21Hrs
21Mins
50Secs

What Makes Inventateq Different

MLOps is not learned well through notes alone. This course is designed around deployment, automation, and monitoring tasks that mirror the work done in production teams, so you spend time on the exact skills employers ask for.

Inventateq Training

  • You work on Python, MLflow, Docker, FastAPI, Kubernetes, and cloud deployment in a connected flow
  • Trainers explain the full ML lifecycle from development to monitoring, so each module has a production context
  • Projects are built around real delivery steps such as experiment tracking, registry, APIs, CI/CD, and dashboards
  • Hands-on sessions use current tools like GitHub Actions, Jenkins fundamentals, AWS, Azure, and Prometheus
  • You get support for documentation, portfolio presentation, and interview readiness alongside the technical content
  • The training pace suits learners moving from Python and basic ML into MLOps roles without skipping essentials
  • Course work is aligned with the Bangalore hiring market for MLOps, ML engineering, and cloud AI roles

Typical Training

  • Tools are often taught as separate topics without showing how they work together in production
  • Classes can stay at the diagram level and leave the deployment path unclear
  • Projects may stop at model building and never reach registry, API, or monitoring stages
  • Tool exposure is sometimes limited to examples instead of hands-on workflow practice
  • Placement help is often generic and disconnected from the actual project work
  • Beginners can struggle when the course moves too quickly or assumes too much background
  • Local hiring expectations are not always reflected in the training plan

Learning Objectives

  • Build production-oriented ML applications: Move from notebook work to deployable ML services with clear structure.

  • Track experiments with MLflow: Record runs, compare results, and manage model versions with discipline.

  • Package ML code with Docker: Keep development and deployment environments consistent.

  • Create ML REST APIs with FastAPI: Serve predictions through practical endpoints and input validation.

  • Automate ML delivery with CI/CD: Set up testing, builds, and deployment steps for ML projects.

  • Deploy workloads on cloud platforms: Understand how cloud services support ML storage, compute, and release flows.

  • Monitor production models and APIs: Identify drift, latency, and model health issues before they affect performance.

Details of Inventateq AI Cloud MLOps Course

Python learners entering MLOps

A strong fit if you know basic Python and want to move into production ML work.

Machine learning students

Useful when you want to take models beyond training notebooks and into deployment.

Cloud and DevOps learners

Good for learners who want to apply cloud and automation skills to AI systems.

Working professionals

Helps you shift into ML platform, deployment, or AI infrastructure roles.

BCA, MCA, and engineering students

Suitable for students from computer and data-related streams who want a practical specialization.

Career switchers

Fits learners who already understand basic tech concepts and want a job-focused path into MLOps.

Quick Highlights of Inventateq MLOps Course in Bangalore

A short, practical plan that fits a focused MLOps upskilling path.

  • 2 Months: The course is delivered in a focused 8-week structure.

  • Beginner to Intermediate: Built for learners who are moving into production ML work from the basics.

  • 30% Concepts: Enough theory to understand the workflow without turning the class into a lecture series.

  • 70% Practical Training: Most of the time is spent on labs, deployment tasks, and project work.

Both classroom and live online options keep the same practical structure.

AI Cloud MLOps Curriculum

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

W1
  • Learn the difference between AI, machine learning, deep learning, DevOps, and MLOps
  • Understand why ML projects fail when they move from notebook to production
  • Map the ML lifecycle from data to training, validation, deployment, and monitoring
  • Build a simple lifecycle view for an end-to-end ML project
  • Review the role and responsibilities of an MLOps Engineer

2. Module 2: Python, Linux & Git for MLOps (Week 1)

W1
  • Work with Python functions, modules, environments, logging, and configuration
  • Use Linux commands, file handling, permissions, shell scripting, and processes
  • Apply Git and GitHub workflows with branching, merging, pull requests, and tags
  • Create a properly structured ML project repository
  • Set up a production-style development flow with virtual environments and requirements files

3. Module 3: Machine Learning Model Development for MLOps (Week 2)

W2
  • Prepare data and perform feature engineering for ML training
  • Use train, validation, and test splits in structured model development
  • Build classification and regression models with Scikit-learn
  • Measure model quality with accuracy, precision, recall, F1-score, ROC-AUC, RMSE, and MAE
  • Tune hyperparameters and compare models with cross-validation

4. Module 4: MLflow – Experiment Tracking & Model Management (Week 2)

W2
  • Install and use MLflow for experiment tracking
  • Log parameters, metrics, artifacts, and model runs
  • Use the MLflow UI and tracking server to compare experiments
  • Register models and manage versions, tags, aliases, and metadata
  • Promote models through a deployment-oriented lifecycle

5. Module 5: Docker & Containerization for ML (Week 3)

W3
  • Understand containerization, images, containers, and Docker architecture
  • Write Dockerfiles and use core Docker commands, volumes, and networks
  • Run ML applications inside containers with stable dependencies
  • Containerize a FastAPI model API and test REST endpoints
  • Package a trained model as a Docker-based prediction service

6. Module 6: FastAPI & Model Deployment (Week 4)

W4
  • Build REST APIs for model inference with FastAPI
  • Create request and response schemas with input validation
  • Work with endpoints such as /predict and /health
  • Test APIs through Swagger and connect them to trained models
  • Deploy a real-time prediction API for production-style usage

7. Module 7: CI/CD for Machine Learning (Week 5)

W5
  • Understand CI/CD for ML applications and how it differs from traditional release flow
  • Build pipelines with GitHub Actions and Jenkins fundamentals
  • Add automated testing, build steps, Docker image creation, and deployment steps
  • Plan rollback strategies and environment management
  • Automate the delivery path from code push to deployment

8. Module 8: Cloud Fundamentals for MLOps (Week 5)

W5
  • Learn cloud basics: compute, storage, networking, IAM, security, and databases
  • Work with AWS services such as EC2, S3, IAM, ECR, Lambda fundamentals, and SageMaker overview
  • Cover Azure Virtual Machines, Blob Storage, Container Registry, Azure Machine Learning, and Azure Monitor
  • Review Google Cloud Compute Engine, Cloud Storage, Artifact Registry, and Vertex AI overview
  • Practise cloud resource access, artifact upload, and container deployment

9. Module 9: Kubernetes for MLOps (Week 6)

W6
  • Study Kubernetes architecture, pods, deployments, services, namespaces, ConfigMaps, and secrets
  • Deploy ML APIs in Kubernetes and expose services
  • Use scaling, rolling updates, and resource management for ML workloads
  • Understand the role of Kubernetes in MLOps environments
  • Manage containerized model serving with a production mindset

10. Module 10: ML Pipelines & Workflow Automation (Week 6)

W6
  • Design ML pipeline architecture from ingestion to deployment
  • Use pipeline stages for data validation, training, evaluation, registration, and deployment
  • Learn Airflow fundamentals and Kubeflow fundamentals
  • Automate retraining when new data becomes available
  • Separate training pipelines from inference workflows

11. Module 11: Model Monitoring & Production MLOps (Week 7)

W7
  • Track model performance, API health, and data changes in production
  • Understand data drift, concept drift, feature drift, prediction monitoring, and latency
  • Use Prometheus, Grafana, cloud monitoring, and logging systems
  • Build monitoring dashboards and observe production behaviour
  • Detect model degradation and troubleshoot operational issues

12. Module 12: AI/LLM MLOps & Production AI (Week 8)

W8
  • Compare traditional MLOps with AI/LLM operations
  • Learn the LLM deployment lifecycle, prompt versioning, evaluation, and observability
  • Monitor latency, cost, and output quality for AI applications
  • Practise version-controlled prompts and production AI workflows
  • Build and review a cloud-based AI assistant project

Best MLOps Training Institute in Bangalore

Learning in Bangalore gives this course a strong career context. You train with peers who are moving into cloud, AI, and deployment roles, and the classroom format makes it easier to ask questions, review project work, and correct mistakes with faculty guidance in real time.

Best MLOps Training Institute in Bangalore

Visit Inventateq Bangalore for MLOps

Visit the Bangalore branch to understand how the course is run, see the learning environment, and discuss your background with our team. It is a practical way to decide whether this MLOps program fits your current skill level and career goal.

Visit Us

Address

1st Floor, #23 Siva Arcade, 29th Main Road,

BTM Layout 1st Stage Above Bank of Baroda,

Back side of Vishnu Park Restaurant,

Bangalore, Karnataka, 560068, India.

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Student Reviews – MLOps Course in Bangalore with Placement

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

Why Learn MLOps Today?

Companies now expect ML teams to do more than train models. They need people who can deploy, monitor, automate, and maintain systems in cloud environments, and that is exactly where AI Cloud MLOps is relevant.

Why Students Start Learning AI Cloud MLOps

  • ML projects are expected to reach production, not stop at experimentation
  • Cloud deployment, CI/CD, and monitoring now sit inside the core ML workflow
  • Bangalore hiring teams look for learners who can explain the full lifecycle clearly
  • Inventateq teaches the subject through labs, projects, and production-style tasks
  • The course includes both classic MLOps and modern AI/LLMOps practices

Build Real MLOps Skills That Lead to Production Roles

By the end of this course, learners can work through the full path from training a model to deploying and monitoring it in a cloud environment. The training is built around practical decisions, not just topic coverage.

You can explain why a model needs production structure

You know when a notebook is fine for experimentation and when it must become a tracked, versioned project. That judgment is important when teams need repeatable work instead of one-off results.

You can package an ML service with stable dependencies

You can set up a container so the same model behaves consistently across machines. You also understand what breaks when libraries, environment variables, or runtime assumptions are not controlled.

You can serve predictions through a usable API

You can connect a trained model to FastAPI and expose real-time inference endpoints. You also know how to handle validation and response shape so the service is usable by other systems.

You can compare experiments before choosing a model

You are able to read run history, compare metrics, and decide which version is better for deployment. That matters when the best model is not always the one with the highest single score.

You can automate release steps for ML applications

You understand how testing, build stages, image creation, and deployment fit together in CI/CD. You can also explain how a bad deployment is handled without disrupting the entire workflow.

You can identify when a model is degrading in production

You know how to watch for drift, latency, and performance drop after deployment. That helps you decide whether the issue is data, infrastructure, or the model itself.

YOUR INSTRUCTORS

Deepak Gupta

Over6 Years experiencein Infosys

Deepak Gupta, a seasoned AWS expert, brings over 12 years of experience in cloud computing and solution architecture. He holds multiple certifications, including the prestigious AWS Certified Solutions Architect – Professional and AWS Certified DevOps Engineer. He is known for his expert mentorship, helping students gain real-world, hands-on experience with AWS services, cloud security, and serverless computing. His passion for cloud technology and personalized teaching approach makes him a sought-after trainer in the AWS field.

Deepak Gupta

YOUR INSTRUCTORS

Kusha Aggarwal

Over12 Years experiencein Hyderabad Institute of Technology.

Kusha Aggarwal is a seasoned expert with over 12 years of experience in Adobe Analytics and digital marketing. With a proven track record, Kusha has successfully implemented data-driven strategies for top Fortune 500 companies and led high-impact projects across diverse industries. Her achievements include developing award-winning analytics solutions and publishing influential research papers in industry journals.

Kusha Aggarwal

YOUR INSTRUCTORS

Meher Danwani

Over10 Years experiencein IIT Bombay.

Meher Danwani brings extensive experience to our AngularJS course. With a rich background in web development, she has worked with numerous multi-million dollar companies, delivering exceptional results and insights. Meher’s deep expertise in AngularJS, combined with her hands-on approach and industry knowledge, makes her an invaluable asset to our training program. Her practical experience and professional achievements ensure that students receive top-notch instruction and guidance.

Meher Danwani

AI Cloud MLOps Course Completion Certificate

On successful completion, learners receive an AI Cloud MLOps Course Completion Certificate from Inventateq. It validates hands-on training in cloud deployment, MLflow, Docker, Kubernetes, CI/CD, model monitoring, and AI/LLMOps workflows covered in this course.

AI Cloud MLOps Course Completion Certificate

Issued for completing the full AI Cloud MLOps training, practical assignments, major projects, and capstone work.

Cloud Deployment Certificate

Validates your ability to deploy ML applications on cloud platforms with storage, IAM, and container services.

MLflow & Model Registry Certificate

Shows you can track experiments, version models, and manage the model lifecycle using MLflow.

Docker & FastAPI Deployment Certificate

Confirms practical skills in containerizing ML models and exposing them through REST APIs with FastAPI.

CI/CD for Machine Learning Certificate

Proves you can build automated test, build, and deployment pipelines for ML applications.

Kubernetes & Monitoring Certificate

Validates deployment, scaling, service exposure, and production monitoring for ML workloads on Kubernetes.

Details About: MLOps Course in Bangalore

Frequently Asked Questions

Is this MLOps course beginner-friendly?

Yes. The course starts with the basics of Python, Linux, Git, and machine learning concepts before moving into deployment and automation. That makes it suitable for learners who are new to production ML but already have a basic technical foundation.

Do you include practical projects in this course?

Yes. You build multiple projects, including customer churn prediction, fraud detection, automated retraining, a production AI assistant, and an end-to-end cloud MLOps platform. Each project is tied to a real workflow used in MLOps roles.

Will I get placement assistance after the course?

Yes. We support resume preparation, project presentation, mock interviews, career mentoring, and interview readiness aligned to MLOps and cloud AI roles. The goal is to help you present your project work clearly in front of recruiters.

Can students from non-MLOps backgrounds join this course?

Yes, if you have basic Python and a basic understanding of machine learning. Learners from computer science, IT, data, and related backgrounds usually adapt well because the course builds the production layer step by step.

Is live online training available for Bangalore learners?

Yes. The course is available in live online mode as well as classroom learning. The training structure stays practical in both formats, so you still work through the same tools, projects, and deployment workflow.

How long is the course?

The course runs for 2 months in a focused training format. That schedule is designed to move you through the full MLOps workflow without dragging the content out unnecessarily.

Does this course cover AI/LLMOps as well as traditional MLOps?

Yes. The final module includes AI/LLMOps topics such as prompt versioning, evaluation, observability, and cost monitoring. This makes the program useful for learners who want roles in modern AI production environments too.