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MLOps Free Internship Program

Discover the boundless potential of MLOps through our exceptional MLOps Internship Program. Immerse yourself in the world of machine learning operations, acquiring invaluable skills as an MLOps engineer. Seize new career opportunities and propel your professional growth by mastering the art of MLOps. Feel empowered to shape your destiny delve into our program today and set sail on an exceptional voyage toward success.
  • 25 Days of Live Online Project Internship
  • 20+ Days of Recorded Video Learning
  • Get Internship Certificate from Innodatatics
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Academic Partners & International Accreditations
  • Internal Auditors course with Microsoft
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  • Internal Auditors course with INNODATATICS certificate
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  • Internal Auditors Certification Course with SUNY
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Welcome to 360DigiTMG's Data MLOps Internship Program!

MLOps is an evolving field that integrates diverse methodologies and technologies to streamline machine learning model deployment and management. It encompasses practices such as continuous integration, continuous delivery, and automated infrastructure management to ensure efficient and scalable machine learning operations. With the rising need for MLOps expertise, securing hands-on experience through an internship is essential for launching your career in this evolving domain.

 

MLOps Internship at 360DigiTMG:

Our MLOps Internship Program is designed to offer aspiring MLOps engineers hands-on experience in tackling real-world projects. This internship is crafted to narrow the divide between theoretical understanding and practical implementation by immersing you in live projects under the mentorship of industry professionals.

MLOps Internship

Program Cost

FREE

MLOps Internship Program Overview

The MLOps internship program encompasses a broad spectrum of subjects, spanning from model deployment to infrastructure management. You'll delve into topics such as continuous integration, continuous delivery, automated deployment pipelines, monitoring, and version control. Additionally, you'll gain hands-on experience with industry-leading tools like Docker, Kubernetes, Jenkins, Git, and various cloud platforms.

About the Program:

Our MLOps Internship Program offers a comprehensive curriculum that is structured to provide a step-by-step learning path. You will receive guidance and mentorship from experienced industry professionals who will assist you throughout the internship, ensuring a seamless learning experience.

The program is divided into two phases:

Phase 1: Skill Development (10 days)

In this phase, you will receive comprehensive training in the following areas:

Python: Gain proficiency in Python programming, including libraries like NumPy, Pandas, and Scikit Learn for data manipulation, analysis, and modeling.

Deployment Techniques: Master deployment tools for machine learning models, including Flask, Streamlit, and Gradio, through detailed instructional videos.

Phase 2: Project Work (10 days)

Put your skills into practice by working on real world MLOps projects. Under the guidance of industry experts, you will solve end to end problems, including data preprocessing, model building, and deploying models using the techniques learned in Phase 1.

Modules Covered:

The internship program consists of the following modules:

  • • Introduction to MLOps
  • • Python for Data Science
  • • Data Preprocessing and Feature Engineering
  • • Deployment Techniques (Flask, Streamlit, Gradio)
  • • Project Work

What Makes Our Program Unique:

Comprehensive Curriculum: Our Free MLOps Internship Program offers a comprehensive and structured curriculum that provides a step-by-step learning path. This approach enables interns to develop a strong foundation and progress systematically in their MLOps journey.

Experienced Mentors: Throughout the internship, interns receive guidance and mentorship from experienced industry professionals. These mentors share their expertise and insights, ensuring a seamless learning experience and helping interns succeed in their MLOps careers.

Hands-on Project Experience: Interns have the opportunity to apply their skills and knowledge to real-world MLOps projects. Under the guidance of industry experts, interns analyze and interpret data, create meaningful visualizations, and derive actionable insights to drive business decision-making.

Innovation through Innodatatics: As part of our commitment to fostering innovation, we have our own research and development division called Innodatatics. Through Innodatatics, we explore emerging technologies and develop cutting-edge solutions to address industry challenges. Interns may have the opportunity to work on exciting projects initiated by Innodatatics, gaining exposure to the latest advancements in the field.

MLOps Internship Program Outcomes

Upon successfully completing the MLOps Internship Program, you can anticipate:

Practical Experience: Acquire practical experience in addressing real-world MLOps challenges.
Strong Foundation: Build a strong foundation in tasks like model deployment, continuous integration, and automated infrastructure management.
Proficiency in Tools and Technologies: Craft a portfolio showcasing your proficiency in MLOps methodologies and technologies.
Build a Portfolio: Deepen your comprehension of industry standards and best practices in MLOps operations.

Block Your Time

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20 Days

Recorded Video Learning

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25 Days

Live Online Project Internship

Who Should Sign Up?

  • Individuals seeking to launch a career in data science.
  • Recent graduates looking to enhance their skill set.
  • Anyone passionate about exploring the exciting world of MLOps.
  • Whether you're a recent graduate eager to apply your knowledge in the field of data science, a working professional looking to transition into the dynamic world of analytics, or simply someone with a strong curiosity and enthusiasm for data-driven insights, our program is open to anyone ready to embark on a transformative learning journey.

MLOps Free Internship Program Modules

Join our free MLOps internship program and embark on an enriching journey where you will explore the fundamental concepts and practical applications of this dynamic field. Throughout the program, you will have the opportunity to expand your knowledge and skills across various areas. You will start by creating a project charter, which will help you define the objectives, scope, and deliverables of your project, setting a clear direction for your work.

You will utilize a research tracker to organize your research activities, ensuring that you capture all the essential details such as research questions, data sources, methodologies used, and findings. To bring your MLOps project to life, you will create an architecture diagram, providing a visual representation of the system or solution you are developing. This diagram will showcase the components, connections, and interactions between various elements, guiding the implementation process. The next step is to collect data, where you will learn techniques for identifying and accessing relevant data sources, ensuring data quality, integrity, and privacy. With the collected data in hand, you will dive into exploratory MLOps, utilizing statistical and visualization techniques to gain initial insights and understand the underlying patterns and relationships within the data.

This analysis will serve as a foundation for hypothesis testing and further analysis. Moreover, you will master the art of data visualization, learning how to present your findings in a visually appealing and informative manner. You will use visualization libraries and tools to create charts, graphs, and interactive dashboards that effectively communicate your data-driven insights to stakeholders. By joining our internship program, you will gain practical experience and invaluable skills in MLOps. You will acquire the ability to make accurate predictions, identify future trends, and make informed data-driven decisions. Seize this opportunity to immerse yourself in the world of MLOps and unlock the endless possibilities it holds.

Tools Covered
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How we prepare you
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    Resume and LinkedIn Review Sessions
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    Assignments and Assessments
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    24/7 Support
  • Internal Auditors certification
    Capstone Project and Practical Projects
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    Interactive Learning
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    Networking Opportunities and Expert Mentorship
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    Hands-on Experience in Live Projects
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    Practical Experience

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MLOps Free Internship Program Panel of Coaches

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Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
 
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Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
 
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Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
 
MLOps Free Internship certification course in india - 360digitmg

MLOps Internship Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence.

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FAQs for MLOps Free Internship Program

MLOps refers to the practices and tools used to streamline the deployment and management of machine learning models. It's crucial in today's data-driven landscape as it ensures efficient model deployment, monitoring, and optimization, leading to better decision-making and business outcomes.

Our MLOps Internship Program stands out by offering hands-on experience with real-world projects, guided by industry experts. We prioritize practical application over theory, providing interns with invaluable skills and insights into the MLOps domain.

Anyone with a passion for machine learning operations and a desire to learn is eligible to apply for our MLOps internship program. Whether you're a recent graduate, a working professional, or a career changer, our program welcomes individuals from diverse backgrounds.

Key skills for excelling in the MLOps internship include proficiency in programming languages like Python, familiarity with machine learning concepts, understanding of DevOps practices, and an eagerness to learn and adapt to new technologies and methodologies.

The duration of our MLOps internship program is [25 days duration ]. Our program is designed to provide a comprehensive learning experience within this time frame, covering key concepts, hands-on projects, and mentorship to prepare interns for successful careers in MLOps.

Yes, our internship program offers both onsite and remote participation options, allowing flexibility for interns to choose the mode that best suits their preferences and circumstances.

Upon completion of the MLOps internship program, you will receive a certificate recognizing your achievement. This certificate validates your practical experience and enhances your credentials as an MLOps engineer, bolstering your career prospects in the field.

During the internship, you will work on a variety of projects that simulate real-world MLOps challenges. Projects are structured to cover different aspects of model deployment, monitoring, and optimization, providing you with a comprehensive understanding of MLOps practices.

Throughout the internship, you will receive mentorship and support from experienced industry professionals. Mentors will guide you through project tasks, provide feedback on your work, and offer insights into best practices and industry trends in MLOps.

Yes Our MLOps internship program is costs associated .We believe in providing access to quality education and hands-on experience to aspiring MLOps engineers, regardless of financial barriers.

The selection process for the MLOps internship program is competitive but inclusive. We evaluate applicants based on their passion for MLOps, relevant skills and experience, and potential for growth and contribution to the field.

Yes, you will have ample opportunities to network with industry professionals during the internship. We organize networking events, guest lectures, and mentorship sessions, allowing you to connect with experts and peers in the MLOps community.

Yes, you can apply for the internship program even if you have limited experience in machine learning or data science. Our program is designed to accommodate individuals at various skill levels, providing foundational training and mentorship to help you succeed in MLOps.

The internship program equips you with practical skills and experience relevant to MLOps roles in industry. Through hands-on projects and mentorship, you'll gain a deeper understanding of MLOps practices and workflows, preparing you for a successful career in the field.

Our MLOps internship program is its focus on practical, hands-on learning and mentorship from industry experts. We prioritize real-world projects and practical skills development, ensuring that interns graduate with the knowledge and experience needed to excel in MLOps roles.

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