Address: 226, OCAC Tower, Bhubaneswar, Odisha, India - 751013, Call: +91 82495 58198
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Students with 100% career-focused technology skills at 30%+ lower cost! Rightly positioned for broader global opportunities.
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Businesses with 30%+ lower total cost of ownership in hiring talents with leading edge skills on industry use cases.
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Institutions with 200% success in placements, ideas, innovation, research, and bridging academics and industry gap.
Student Benefits
Top Industry Skills
Assured Placement
Business Benefits
Top Class Talents
STEM
Learnings
Industry Skills
Low Solution Costs
Founding Leadership!
Surjya Misra
Founder CEO/ CTO
Wharton School Certified CTO, MIT Sloan Certified for Ethical AI, Texas McCombs PG in Cloud, UTD Global Leadership Exec. MBA, & BE (Electrical).
Seasoned Technology Leader with 30+ years of experience across Telecom, Media, Corporate Functions, CIO Organizations, Utilities, Automotive, Healthcare, Banking, , Industry 4.0, and Hi-Tech. Ex. Deloitte, Accenture, Infosys, IBM, Amdocs, Virtusa, SAIL, etc.
Programs Aligned to Your Aspirations!
Students begin with an in-depth understanding of cloud computing, exploring its essential characteristics, historical development, and the compelling business cases for cloud adoption.
The modules include:
1. Learn about different cloud service models including IaaS, PaaS, SaaS
2. Learn cloud deployment models like Public, Private, and Hybrid.
3. Understand the cloud infrastructure components
4. insights into one of the popular cloud platforms like AWS, Microsoft Azure, and Google Cloud,
5. Explore foundational services and features for a public cloud
6. Understand emerging technologies and use cases enabled by cloud
7. Understand Virtual Machines, Event-Driven, Message-Driven, Server-less, Containers, Micro-services
8. Understand Cloud Native application development steps
9. Understand DevOps pipeline and Application Modernization capabilities
The modules include:
1. Hands-on experience with Linux commands and shell scripting.
2. Understanding of Extract, Transform, Load (ETL) processes
3. Learn extraction of data from disparate sources, loading into scalable platforms
4. Learn how to transform data to meet specific operational needs
5. Learn how to load into a designated database or data warehouse.
6. Explore the nuances of Extract, Load, Transform (ELT) processes
7. Learn the critical processes that are backbone of maintaining data integrity and consistency
8. Learn the fundamentals of insightful decision-making and comprehensive analysis
9. Learn how data governance and ethical use of data is getting critical for businesses
10. Learn the art of possible with various high level use case
Unravel the 'why, what, where, when, and how' of AI applications in everyday life. Sharpen your skills understanding terms like Machine Learning, Deep Learning, and Neural Networks within the AI domain.
Gain the ability to explain the expert insights on Artificial Intelligence and Machine Learning strategies and the art of possible. The modules include:
1. Exposure to programming needs for AI/ ML
2. Exposure to the different math skill needs for AI/ ML geeks
3. Learn how data handling and preprocessing plays a role in AI/ ML
4. An introduction to AI/ ML and it's different flavors
5. Basics of Deep Learning and use cases
6. Exposure to Natural Language Processing (NLP)
7. Exposure to art of possible advanced use cases with AI/ ML
8. Learn about the ethical considerations and challenges in AI applications
9. Learn how to launch a successful career in the dynamic field of AI.
At IHONORS Academy, we empower you to become a data expert who can design and build data pipelines, manage and maintain databases, create and maintain data warehouses, ensure data quality and integrity, develop and maintain ETL or ELT processes, optimize database performance, implement security and data governance measures, and collaborate with data scientists and analysts to maximize the value of data.
This program will bring plenty of fluency in the expert to design and build of data pipelines, manage and maintain databases, create and maintain data warehouses, ensure data quality and integrity, develop and maintain ETL or ELT (Extract, Transform, Load) processes, optimize database performance, implement security and data governance measures, and collaborate with the team of data scientists and analysts to provide access to the data and drive maximum value from every possible angle.
As a Data Engineer Expert you will be analyzing data and providing insights, developing predictive models, create visualizations and dashboards, communicate insights that are useful to the business stakeholders, identify varying trends and patterns in data, work with business to understand their needs, conducting A/B type of tests and experiments and develop data-driven recommendations. Plus, you’ll be eligible for American Council on Education (ACE) credit, validating your expertise and opening doors to new career opportunities.
Students begin with an in-depth understanding of cloud computing, exploring its essential characteristics, historical development, and the compelling business cases for cloud adoption.
The modules include:
1. Learn about different cloud service models including IaaS, PaaS, SaaS
2. Learn cloud deployment models like Public, Private, and Hybrid.
3. Understand the cloud infrastructure components
4. insights into one of the popular cloud platforms like AWS, Microsoft Azure, and Google Cloud,
5. Explore foundational services and features for a public cloud
6. Understand emerging technologies and use cases enabled by cloud
7. Understand Virtual Machines, Event-Driven, Message-Driven, Server-less, Containers, Micro-services
8. Understand Cloud Native application development steps
9. Understand DevOps pipeline and Application Modernization capabilities
The modules include:
1. Hands-on experience with Linux commands and shell scripting.
2. Understanding of Extract, Transform, Load (ETL) processes
3. Learn extraction of data from disparate sources, loading into scalable platforms
4. Learn how to transform data to meet specific operational needs
5. Learn how to load into a designated database or data warehouse.
6. Explore the nuances of Extract, Load, Transform (ELT) processes
7. Learn the critical processes that are backbone of maintaining data integrity and consistency
8. Learn the fundamentals of insightful decision-making and comprehensive analysis
9. Learn how data governance and ethical use of data is getting critical for businesses
10. Learn the art of possible with various high level use case
Unravel the 'why, what, where, when, and how' of AI applications in everyday life. Sharpen your skills understanding terms like Machine Learning, Deep Learning, and Neural Networks within the AI domain.
Gain the ability to explain the expert insights on Artificial Intelligence and Machine Learning strategies and the art of possible. The modules include:
1. Exposure to programming needs for AI/ ML
2. Exposure to the different math skill needs for AI/ ML geeks
3. Learn how data handling and preprocessing plays a role in AI/ ML
4. An introduction to AI/ ML and it's different flavors
5. Basics of Deep Learning and use cases
6. Exposure to Natural Language Processing (NLP)
7. Exposure to art of possible advanced use cases with AI/ ML
8. Learn about the ethical considerations and challenges in AI applications
9. Learn how to launch a successful career in the dynamic field of AI.
At IHONORS Academy, we empower you to become a data expert who can design and build data pipelines, manage and maintain databases, create and maintain data warehouses, ensure data quality and integrity, develop and maintain ETL or ELT processes, optimize database performance, implement security and data governance measures, and collaborate with data scientists and analysts to maximize the value of data.
This program will bring plenty of fluency in the expert to design and build of data pipelines, manage and maintain databases, create and maintain data warehouses, ensure data quality and integrity, develop and maintain ETL or ELT (Extract, Transform, Load) processes, optimize database performance, implement security and data governance measures, and collaborate with the team of data scientists and analysts to provide access to the data and drive maximum value from every possible angle.
As a Data Engineer Expert you will be analyzing data and providing insights, developing predictive models, create visualizations and dashboards, communicate insights that are useful to the business stakeholders, identify varying trends and patterns in data, work with business to understand their needs, conducting A/B type of tests and experiments and develop data-driven recommendations. Plus, you’ll be eligible for American Council on Education (ACE) credit, validating your expertise and opening doors to new career opportunities.
Our Unique Value Proposition!
We assure your 100% placement potential for the best compensations and growth...
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