Generative AI Masters

MLOPS Training in Hyderabad

MLops Training in Hyderabad

Batch Details

Trainer Name Madhumathi, Dr. Prasad
Trainer Experience 10+ Years, 20+ Years
Next Batch Date 10th DEC 2024 (8:00 AM IST)
Training Modes Classroom Training (Hyderabad), Online Training
Course Duration 3 Months
Call us at +91 9885044555
Email Us at genaimasters@gmail.com
Demo Class Details Click Here to Chat on Whatsapp

MLops Training in Hyderabad

Course Curriculum

  • What is MLOPS, Different stages in MLOPS, ML project lifecycle, Job Roles in MLOPS
  • What is Development stage of an ML Workflow, Pipelines and steps,
  • Artifacts, Materializers, Parameters & Settings.
  • Stacks & components, Orchestrators, Artifact stores, Flavors etc.
  • ML Server infrastructure, Server deployment, Metadata tracking,
  • Collaborations, Dashboards

Trainer Details - MLOPS Training in Hyderabad

generative ai training in hyderabad

Ms. Madhumathi

Principal Data Scientist & Generative AI Strategist

10+ Years of Experience

About The Tutor

Our instructor is an experienced Data Scientist who specializes in Generative AI and Prompt Engineering, especially using large language models like Llama2. With more than 10 years in the data science field, she is skilled in predictive modeling, preparing data, working with natural language processing (NLP), and machine learning.

As an industry expert in Generative AI and an accomplished lead trainer, she is dedicated to advancing students’ careers by integrating real-time applications into Data Science and Generative AI education.

generative ai training in hyderabad

Mr. Prasad

Generative AI Authority & Principal Data Scientist

20+ years of Experience

About The Tutor

Our trainer is an Expert in AI specialist and Lead Data Scientist with deep expertise in Machine Learning, Deep Learning, NLP, Python/R, along with Statistical, Biological, and Panel Analysis.

He has a special talent for making complex topics easy to understand and use for students from different backgrounds. By using practical experience and real-time examples, he helps students build strong skills, preparing them for success.

The trainer has extensive experience in the healthcare and medical fields, having managed projects across the US, UK, Australia, and Canada. He possesses strong expertise in image processing for various diseases, utilizing Generative AI techniques. 

Why Choose us

Expert Instructors

The training is conducted by experienced professionals with deep expertise in MLOps and machine learning. These instructors bring real-time knowledge and practical insights, providing high-quality instruction and support throughout the course.

Hands-On Experience

Generative AI Masters emphasizes practical learning with real-world projects and case studies. This hands-on approach allows participants to apply MLOps concepts in practical scenarios, enhancing their skills and confidence in managing machine learning models.

Comprehensive Curriculum

Generative AI Masters offers a well-structured MLOps training program that covers all essential aspects of machine learning operations, from foundational concepts to advanced techniques. The curriculum includes hands-on experience with tools like Docker, Kubernetes, and cloud platforms, ensuring a thorough understanding of MLOps.

Industry-Relevant Training

The course content is designed to align with current industry standards and best practices. This ensures that participants gain relevant skills that are highly sought after in the job market.

Personalized Support

Generative AI Masters offers personalized mentorship and support to each participant. This includes guidance on projects, career advice, and assistance with any challenges faced during the training.

Strong Placement Support

Generative AI Masters has a robust placement support system, including career counseling and job placement assistance. The institute’s network with industry leaders helps students find relevant job opportunities in the MLOps field.

Flexible Learning Options

The institute provides flexible learning options, including online and offline classes, to accommodate different schedules and learning preferences. This makes it easier for professionals to balance their studies with work commitments.

Positive Reviews and Success Stories

Many past students have successfully advanced their careers in MLOps after completing the training at Generative AI Masters. Positive feedback and success stories reflect the effectiveness and impact of the program.

Modes - Generative AI Course in Hyderabad

Classroom Training

  • Interactive Face-to-Face Teaching
  • Industry Expert Trainers
  • Instant Feedback
  • Collaborative Tasks
  • Hands-on Industry Projects
  • Group Discussions
  • Covers Advanced Topics

Online Training

  • Virtual Learning Sessions
  • Daily Session Recordings
  • Instructor Support
  • Interactive Webinars
  • Digital Learning Modules
  • Online Practical Labs
  • Flexible Learning Schedules

Corporate Training

  • Customized Training Programs
  • Daily Recordings
  • Interactive Team Development
  • Expert Instruction
  • Industry-Relevant Content
  • Performance Monitoring
  • On-Site Workshops

What is MLops ?

Why is MLops Used?

About MLops

MLOps, short for Machine Learning Operations, is a practice that combines machine learning (ML) with DevOps to streamline and automate the process of deploying, monitoring, and managing machine learning models in production.

 It bridges the gap between data scientists and IT operations, ensuring that machine learning models can be efficiently and reliably integrated into real-time applications. 

MLOps includes the entire machine learning lifecycle, including data preparation, model training, deployment, monitoring, and retraining, allowing organizations to continuously deliver and improve ML-driven solutions.

The primary goal of MLOps is to enhance the collaboration between data science teams and operations teams, enabling faster experimentation, more reliable deployments, and better scalability. 

By applying principles from DevOps, such as continuous integration and continuous delivery (CI/CD), MLOps ensures that models can be rapidly tested and deployed, with automated workflows reducing the risk of errors. 

Additionally, MLOps emphasizes the importance of monitoring models in production to detect issues like data drift or performance degradation, allowing for timely interventions and model updates. 

This approach not only accelerates the deployment of machine learning models but also ensures their long-term reliability and effectiveness in production environments.

Generative AI Masters in Hyderabad offers  MLOps training designed to equip learners with the skills needed to operationalize machine learning models effectively. 

The course covers essential tools and practices like Kubernetes, Docker, Jenkins, and cloud platforms such as AWS and Azure, ensuring participants gain hands-on experience in automating and managing ML pipelines.

 With a curriculum that blends theory with practical application through real-world projects, Generative AI Masters prepares both beginners and professionals to excel in the fast-growing field of MLOps, guided by expert instructors who provide in-depth knowledge and industry insights.

Course Outline

01

The course starts with an introduction to MLOps concepts and its importance in machine learning.

02

Participants learn about the core tools and technologies used in MLOps, including Docker and Kubernetes.

03

The training covers building and managing machine learning pipelines.

04

Students gain hands-on experience with continuous integration and continuous delivery (CI/CD) practices for ML models.

05

The course includes lessons on deploying models to cloud platforms like AWS and Azure.

06

It focuses on monitoring and maintaining models in production environments.

07

Participants work on real-world projects to apply MLOps concepts in practical scenarios.

08

The training wraps up with a review of best practices and advanced topics in MLOps.

Tools Covered

Mlops training in Hyderabad- docker

Docker

For containerizing machine learning applications and ensuring consistent environments across different stages of deployment.

Mlops training in Hyderabad- kubernetes

Kubernetes

For orchestrating and managing containerized applications at scale, including deploying and scaling ML models.

Mlops training in Hyderabad- Jenkins

Jenkins

For automating the continuous integration and continuous delivery (CI/CD) pipelines for machine learning models.

Mlops training in Hyderabad- Git

Git

For version control and managing changes to code and model configurations.

Mlops training in Hyderabad- Terraform

Terraform

For infrastructure as code (IaC) to automate the provisioning and management of cloud resources.

Mlops training in Hyderabad- Mlflow

MLflow

For tracking experiments, managing model versions, and facilitating model deployment.

Mlops training in Hyderabad- Airflow

Apache Airflow

For scheduling and monitoring workflows and pipelines in machine learning projects.

Mlops training in Hyderabad- Prometheus and Grafana

Prometheus and Grafana

For monitoring and visualizing metrics related to model performance and system health.

Mlops training in Hyderabad- Kubeflow

Kubeflow

For deploying and managing machine learning workflows on Kubernetes.

Skills developed post MLops training

MLOPS Training In Hyderabad

Job Opportunities

MLOps is a rapidly growing field with diverse job opportunities for professionals skilled in managing machine learning operations.
Here are some key job opportunities in MLOps:

Key Points of MLops

Companies That Hire

Placement Program

Generative AI Masters offers a comprehensive placement program as part of its MLOps training, ensuring students transition seamlessly into the job market.

The program includes personalized career counseling, resume building, and interview preparation to ensure participants are well-equipped for job opportunities. 

Additionally, Generative AI Masters leverages its strong network of industry connections to facilitate job placements, connecting students with top employers in the field of MLOps.

GenerativeAI Masters is a top institute in Hyderabad, known for its advanced training programs in machine learning and artificial intelligence. With a focus on practical, hands-on learning and real-time applications, Generative AI Masters provides students with the skills and knowledge needed to excel in their careers.

The institute’s expert instructors and comprehensive curriculum ensure that graduates are well-prepared for the demands of the industry.

MLOPS Training in Hyderabad​

4000+ Jobs Opening For MLOPS

MLOPS Training in Hyderabad
MLOPS Training in Hyderabad
MLOPS Training in Hyderabad
MLOPS Training in Hyderabad

Prerequisites

Approximate Pay Scale in MLOPS Engineer

Entry-Level MLOps Engineer

Experience: 0-2 years Annual Salary Range: $70,000 - $100,000 Description: Entry-level roles typically involve supporting the deployment and management of machine learning models, basic automation of workflows, and learning the infrastructure and tools used in MLOps.

Mid-Level MLOps Engineer

Experience: 2-5 years Annual Salary Range: $100,000 - $140,000 Description: Mid-level MLOps engineers are responsible for designing and implementing pipelines, optimizing model performance, ensuring scalable deployment, and managing the infrastructure. They may also start taking on leadership roles in small teams.

Senior MLOps Engineer

Experience: 5+ years Annual Salary Range: $140,000 - $180,000+ Description: Senior engineers lead the design and development of complex MLOps pipelines, manage large-scale deployments, and oversee the integration of MLOps practices across the organization. They are often involved in mentoring junior staff and making strategic decisions.

Lead/Architect MLOps Roles

Experience: 7+ years Annual Salary Range: $180,000 - $220,000+ Description: In these roles, professionals are responsible for setting the strategic direction for MLOps practices, designing the architecture for machine learning infrastructure, and leading large teams. They also work closely with data science, engineering, and executive teams to align MLOps with business goals.

Market trend

Generative AI Masters achievements

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Generative AI Learners Testimonials

The MLOps training in Hyderabad at Generative AI Masters was a game-changer for my career. The hands-on projects and expert guidance provided deep insights into managing and deploying machine learning models. I now feel confident handling complex MLOps tasks and have already seen the benefits in my current role.
Aditi Sharma
Generative AI Masters’ MLOps program exceeded my expectations. The course offered practical experience with essential tools and technologies, and the instructors were incredibly knowledgeable. This training gave me the skills needed to transition into an MLOps role and has significantly boosted my professional growth.
Divya Jha
I chose Generative AI Masters for their MLOps training, and it was the best decision. The curriculum was comprehensive, covering everything from basic concepts to advanced techniques. The real-world projects were especially valuable in applying what I learned, and I’m now more prepared for the challenges in MLOps.
Aditi Sharma
The MLOps training in Hyderabad at Generative AI Masters provided a solid foundation in managing machine learning models effectively. The hands-on approach and the support from experienced instructors made a huge difference. I appreciated the focus on industry-relevant skills and the practical applications of MLOps.
Divya Jha
Generative AI Masters offers exceptional MLOps training. The course was well-structured, and the practical projects helped me understand the intricacies of model deployment and management. The knowledge I gained has already opened up new opportunities in my career, and I highly recommend this program to anyone looking to specialize in MLOps.
Sai kiran
Generative AI Masters provides outstanding MLOps training in Hyderabad. The course was expertly structured, and the hands-on projects gave me a deep understanding of model deployment and management. The knowledge I've gained has already unlocked new career opportunities, and I strongly recommend this program to anyone seeking to specialize in MLOps.
Ram

Certification

Certifications in MLOps are valuable for professionals looking to validate their skills and knowledge in managing machine learning operations. These certifications demonstrate proficiency in deploying, monitoring, and maintaining machine learning models, and they can significantly enhance career prospects.

Earning a certification often involves passing an exam that tests understanding of key concepts, tools, and best practices in MLOps, such as continuous integration, continuous deployment (CI/CD), and model monitoring.

Here are some certifications for MLops:
microsoft

Microsoft Certified: Azure Data Scientist Associate

This certification focuses on managing machine learning models and data pipelines using Microsoft Azure. It covers key aspects of deploying, managing, and optimizing ML solutions in the Azure environment.

Google

Google Professional Machine Learning Engineer

This certification demonstrates expertise in designing, building, and deploying ML models using Google Cloud Platform. It emphasizes practical skills in managing machine learning solutions and ensuring their scalability and performance.

AWS

AWS Certified Machine Learning – Specialty

This certification showcases proficiency in deploying and managing machine learning models on Amazon Web Services (AWS). It covers topics such as model optimization, deployment, and maintenance in the AWS ecosystem.

mlops

Certified MLOps Professional (CMOP)

The CMOP certification is specifically designed for MLOps practitioners. It focuses on best practices and tools for operationalizing machine learning models, including model deployment, monitoring, and lifecycle management.

MLOPS Training In Hyderabad-Certificate

Faqs

MLOps, or Machine Learning Operations, is a set of practices that combines machine learning with DevOps to streamline and automate the deployment, management, and monitoring of machine learning models in production environments.

MLOps training helps professionals gain skills in automating ML pipelines, managing model deployment, monitoring performance, and integrating ML models with existing IT infrastructure, leading to improved efficiency and scalability.

Basic understanding of machine learning concepts, familiarity with Python programming, and knowledge of version control systems like Git are recommended prerequisites. Experience with cloud platforms or containerization tools is helpful but not required.

The duration of MLOps training programs can vary, but typically they range from a 3 – 4 months, depending on the depth of the course and the learning format.

MLOps training often includes tools like Docker, Kubernetes, Jenkins, Git, MLflow, Apache Airflow, and cloud platforms such as AWS, Azure, and Google Cloud.

Yes, MLOps training can be suitable for beginners who have a basic understanding of machine learning and programming. Many programs are designed to cater to varying levels of experience.

Career opportunities include roles such as MLOps Engineer, Machine Learning Operations Specialist, Data Engineer, DevOps Engineer, ML Infrastructure Engineer, and AI Operations Manager.

The salary of an MLOps Engineer varies based on their skillset. Recent reports suggest that, on average, MLOps Engineer earn ₹13,00,000 per annum.

Yes, Generative AI Masters provides placement assistance, including career counseling, resume building, interview preparation, and access to job opportunities through its industry network  for more Details contact Gen Ai masters .

Yes, some MLOps training programs may prepare you for certifications such as the Microsoft Certified: Azure Data Scientist Associate, Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, and Certified MLOps Professional (CMOP).

Yes, many MLOps training programs are offered online, providing flexibility to learn from anywhere. These programs often include virtual classrooms, recorded sessions, and online resources.

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