Data Engineering Professional
The Data Engineering Professional program is a comprehensive course designed to equip professionals with the skills needed to design, build, and maintain scalable data pipelines and systems.
About the Programme
The Data Engineering Professional program is designed for individuals seeking to become experts in managing, optimizing, and building scalable data infrastructure. This 12-month, intensive course provides a deep dive into data engineering, combining theoretical knowledge with practical hands-on experience. The program covers key concepts such as data architecture, data modeling, and the fundamentals of ETL (Extract, Transform, Load) processes. Participants will work with widely-used tools like Apache Hadoop, Apache Spark, and cloud platforms such as AWS, Google Cloud, and Azure to implement data pipelines and optimize data workflows.
The program focuses on enabling professionals to design robust, scalable data solutions that are optimized for performance and security. Topics such as data storage, retrieval strategies, and building secure data environments are covered in detail. Additionally, students will be introduced to advanced data engineering practices including cloud-native architectures and the use of microservices for processing large volumes of data. Through case studies, real-world projects, and collaborations with industry professionals, participants will gain practical experience and develop the skills needed to solve complex data challenges.
Key Skills Developed
Who is the programme for?
The Data Engineering Professional program is designed for individuals eager to build a career in managing and optimizing large-scale data systems. It is ideal for aspiring data engineers who want to gain expertise in developing and maintaining data pipelines, as well as professionals such as software engineers looking to expand their skill set to include data architecture and processing. The program is also suitable for data analysts who wish to enhance their knowledge of data infrastructure and transition into a more technical role, as well as IT professionals who want to specialize in working with big data technologies and cloud-based solutions. Additionally, technology enthusiasts with a strong interest in working with data systems and contributing to data-driven decision-making processes will find this program highly beneficial. With a focus on practical learning, the program equips participants with the necessary skills and knowledge to thrive in the growing field of data engineering.
How will you study?
The Data Engineering Professional Certificate offers a dynamic learning experience that combines theoretical knowledge with practical applications. You will learn through a blended approach, including live interactive sessions, self-paced online modules, and hands-on project assignments. This flexible structure allows you to study at your own pace while participating in live discussions and solving real-world challenges with expert instructors.
The program emphasizes project-based learning, enabling you to apply the concepts to real-world data engineering scenarios. You will work on capstone projects and assignments that help you design, build, and optimize data pipelines, as well as integrate data storage and processing technologies into scalable solutions. Guided by industry professionals, you will gain the skills to manage big data infrastructure, leverage cloud computing, and handle large datasets effectively. This hands-on experience ensures you are well-prepared to drive data engineering innovations and support data-driven decision-making in your career.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning is proud to announce its accreditation and strategic collaborations with prestigious institutions and organizations, including the Ambaincip School of Business, Narsamma School of Finance and Blockchain, Monappa School of Quantum Computing, Kamber School of Researchers, and BlackwellAi - LaB Innovation.
This partnership network signifies a unified effort to advance the frontiers of knowledge in machine learning, artificial general intelligence (AGI), and multidisciplinary research. By leveraging expertise across finance, blockchain, quantum computing, and AI-driven innovation, the collaboration aims to foster cutting-edge developments and impactful applications. Additionally, the program aligns with global standards such as AGI and MACUL, ensuring academic excellence and real-world relevance.
Location
Hybrid Mode
Duration
6 Month Learning + 6 Month Experience Letter + Job Offer Letter
Intakes
25 (Jan, May, Nov)
Tuition Fees
Rs 1,35,500 / -
The Data Engineering Professional Certificate program is a comprehensive course designed to provide you with the essential skills and knowledge to become a proficient data engineer. This program blends theoretical instruction with practical applications to ensure you gain a solid understanding of key data engineering concepts. Throughout the program, you will learn to design, build, and manage robust data pipelines, optimize data storage and retrieval processes, and integrate various technologies to support data-driven applications.
With a focus on hands-on learning, the program allows you to apply the concepts you learn in real-world scenarios. You will work on project-based assignments and capstone projects, gaining experience in building scalable data infrastructures and leveraging cloud platforms to store and process large datasets. You will also explore tools like Apache Hadoop, Spark, and SQL databases, all of which are integral to modern data engineering practices.
Guided by industry professionals, the program ensures that you are prepared to tackle the challenges of data engineering in the real world. Upon successful completion, you will be equipped with the skills necessary to contribute to data-driven decision-making processes and work with advanced data technologies in a professional setting.
Programme Structure and Electives
The Data Engineering Professional Certificate program is designed to provide comprehensive training, combining foundational knowledge and practical experience to prepare you for a successful career in data engineering. The program begins with an introduction to key concepts in data engineering, including understanding data ecosystems, structures, and storage. As you progress, you will gain proficiency in relational and non-relational databases, data warehousing, and advanced database management. You'll also learn essential skills in building and optimizing ETL (Extract, Transform, Load) pipelines, integrating data from various sources, and ensuring data quality. The program further explores big data tools and cloud platforms, equipping you with the knowledge to handle large-scale data processing using technologies like Apache Hadoop, Apache Spark, and cloud services such as AWS and Google Cloud. In later modules, you will focus on building real-time data pipelines, automation, and ensuring the security of data flows. Advanced topics in stream processing, distributed computing, and cloud-based data engineering are covered, giving you a robust understanding of modern data engineering practices.
Core Periods Modules
The Data Engineering Professional Certificate program is designed to provide comprehensive training, combining foundational knowledge and practical experience to prepare you for a successful career in data engineering. The program begins with an introduction to key concepts in data engineering, including understanding data ecosystems, structures, and storage. As you progress, you will gain proficiency in relational and non-relational databases, data warehousing, and advanced database management. You'll also learn essential skills in building and optimizing ETL (Extract, Transform, Load) pipelines, integrating data from various sources, and ensuring data quality. The program further explores big data tools and cloud platforms, equipping you with the knowledge to handle large-scale data processing using technologies like Apache Hadoop, Apache Spark, and cloud services such as AWS and Google Cloud. In later modules, you will focus on building real-time data pipelines, automation, and ensuring the security of data flows. Advanced topics in stream processing, distributed computing, and cloud-based data engineering are covered, giving you a robust understanding of modern data engineering practices.
- Period 0
Introduction to Data Engineering
The "Introduction to Data Engineering" module provides foundational knowledge on data ecosystems, structures, and storage. You will learn about relational and non-relational databases, data warehousing, and basic ETL processes.
- Period 1
Source Systems, Data Ingestion, and Pipelines
The "Source Systems, Data Ingestion, and Pipelines" module focuses on understanding the various data sources and systems involved in data engineering. You will learn about structured and unstructured data, as well as the tools used for data ingestion.
- Period 2
Data Storage and Queries
The "Data Storage and Queries" module covers the essential concepts of data storage solutions and querying techniques in data engineering. You will explore various storage systems such as relational databases, NoSQL databases, and cloud-based storage solutions.
- Period 3
Data Modeling, Transformation, and Serving
The "Data Modeling, Transformation, and Serving" module focuses on the critical stages of data processing, from designing robust data models to transforming and serving data efficiently.
- Period 4
Data Modeling & Transformations for Machine Learning
The "Data Modeling & Transformations for Machine Learning" module delves into techniques for preparing and transforming data to build effective machine learning models. You will explore various data preprocessing methods, such as feature scaling, encoding categorical variables, handling missing values, and creating new features.
- Period 5
Industry Work Experience (6 Months), 2 Electives
The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding.
Electives
Electives To further tailor your learning, TheSSML offers the following electives as part of the Executive Strategic AI for Business Leaders Programme. These electives will help you specialize in areas that align with your professional interests and career aspirations.
- Profile Building++
- Decision Sciences
- Entrepreneurship & Family Enterprise
- Responsible AI and Ethical Considerations
- AI-Driven Customer Experience
- Emerging AI Technologies and Trends
- AI in Product Development
- Building AI Products
Your Future Career at TheSSML
Professionals will be equipped with the strategic and technical expertise required to lead AI initiatives across industries. As AI continues to play an increasingly pivotal role in business transformation, participants will be well-positioned for career opportunities in top technology companies, consulting firms, and multinational corporations that are integrating AI into their core operations.
Furthermore, TheSSML provides comprehensive career support, including personalized coaching, exclusive networking opportunities, and access to premium job openings within its global network. Professionals will also be eligible for opportunities with the Ambaincip School of Business, where they can apply their AI expertise to lead and innovate in high-growth, business-driven environments.
Secure Your Job at Ambaincip School of Business After Completing Data Engineering Professional at TheSSML
Upon successful completion of the Data Engineering Professional Programme at TheSSML, you will gain exclusive access to rewarding career opportunities in collaboration with the Ambaincip School of Business. This partnership provides professionals with a unique platform to apply advanced data engineering strategies and leadership skills within a dynamic, data-driven business environment.
Ambaincip School of Business is committed to empowering graduates by placing them in influential roles where they can design and manage scalable data infrastructures, lead data-driven transformations, and optimize decision-making processes within organizations. With the comprehensive expertise gained through the program, you will be well-prepared to take on senior positions, oversee complex data projects, and make a meaningful impact on the success and growth of innovative businesses.
Secure Your Job at Ambaincip School of Business
TheSSML: Your Gateway to Innovation
At TheSSML, we cultivate a culture of curiosity, creativity, and collaboration, empowering individuals to solve complex real-world problems and contribute meaningfully to the advancement of technology. Whether you are a student, professional, or researcher, TheSSML is your gateway to mastering the skills and insights needed to lead in the rapidly evolving world of artificial intelligence and machine learning.
Fees & Admissions
Entry Requirements
Company Experience
- A minimum of 1 years of experience at a company is required, particularly in roles where you have gained exposure to AI or technology-driven projects.
- Experience in driving strategic business initiatives, AI implementations, or related fields is highly valuable.
Academic Qualifications
- A strong honours degree or its equivalent from a recognised institution.
- A compelling personal statement that showcases
- A pronounced interest in business.
- Theambition to explore beyond the confines of their initial degree discipline.
- Anaptitude for working within a multidisciplinary environment
Tuition Fees
National Applicants: Rs 1,35,500 / -
International Applicants: 1,578.28/- USD
We offer a range of savings and funding options. For a full breakdown of all our fees, visit our fees and funding page below.
Our Application Process at TheSSML
At TheSSML, we have simplified the application process to ensure a smooth and efficient entry into our academic community. Our clear, step-by-step application process is designed to help you prepare and submit your application with ease.
For those who might not meet the aforementioned academic criteria for the Executive Programme, consideration will be based on individual merit. Additionally, candidates who do not meet the set academic or language standards may still be eligible for entry upon successful completion of TheSSML Executive Premasters Award.
How to ApplyTop-Tier Education at TheSSML
Double Your Reach
Gain exclusive access to TheSSML's extensive alumni network, alongside global connections, enhancing your professional prospects and career opportunities.
Accredited and Recognized
TheSSML is dedicated to providing high-quality education with internationally recognized certifications, ensuring that you gain a competitive edge in the global job market.
Post-Study Career Opportunities
International students at TheSSML may benefit from career development programs and assistance in securing job placements or internships, offering valuable industry experience after graduation.
Global Partnerships
TheSSML collaborates with leading industry players, including tech giants and global corporations, to provide students with access to cutting-edge technologies, real-world learning experiences, and exciting career prospects.
Learn From the Very Best at TheSSML
At TheSSML, you will be taught by distinguished faculty members who are leaders in their fields. Our professors bring a wealth of experience from renowned global institutions and top-tier companies such as Amazon, the United Nations, IBM, Deloitte, Accenture, and Microsoft. Their extensive industry knowledge and academic expertise will provide you with the insights and practical skills needed to thrive in the dynamic world of machine learning and AI.
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TheSSML Partners with AICTSD And MACUL
At The Standard School of Machine Learning (TheSSML), our programmes are enhanced through prestigious accreditations and partnerships with leading organizations such as MACUL (Michigan Association for Computer Users in Learning) and AICTSD (All India Council for Technical Skill Development). These collaborations ensure our courses meet global industry standards and incorporate cutting-edge advancements in artificial intelligence and machine learning. The partnership with MACUL brings a rigorous framework for curriculum quality and academic excellence, while AICTSD fosters skill development and practical exposure through workshops, certifications, and real-world projects. By aligning with these esteemed bodies, TheSSML guarantees that students receive industry-recognized training, preparing them for leadership roles in a rapidly evolving AI landscape.
TheSSML Alumni Survey
At TheSSML, we are dedicated to equipping our students with the knowledge and skills needed to launch successful careers in the AI and machine learning industries. Our alumni are well-prepared to make a meaningful impact in the professional world, with many securing positions at leading global companies.
Alumni Survey (2022)
91%
of ourgraduates secured employment within six months of graduation
84%
of students received job offers before completing their programme
72%
of our alumni hold managerial or senior positions in prominent organisations
79%
of our graduates earn a competitive salary ranging from ₹8 lakhs to ₹12 lakhs per annum