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From Data to Decision: A Comprehensive Guide to AI, MLOps, and GenAI Course Overview

From Data to Decision: A Comprehensive Guide to AI, MLOps, and GenAI Course Overview

Introducing our From Data to Decision: A Comprehensive Guide to AI, MLOps, and GenAI course, designed to empower you with essential skills in the rapidly evolving landscape of artificial intelligence and machine learning operations. Throughout this course, you will explore key learning objectives, such as understanding AI concepts, mastering MLOps practices, and harnessing the power of Generative AI.

With practical applications integrated into each module, you’ll gain hands-on experience in building effective AI solutions, enabling you to translate data insights into actionable decisions. Join us to equip yourself with the tools needed to thrive in data-driven environments and enhance your professional capabilities in AI and MLOps.

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1,700

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Course Fee 1,700
Total Fees
1,700 (USD)
  • Live Training (Duration : 40 Hours)
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  • Classroom Training fee on request
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Course Prerequisites

Prerequisites for the "From Data to Decision: A Comprehensive Guide to AI, MLOps, and GenAI" Course:


To ensure a productive learning experience in this course, students should ideally have the following foundational knowledge:


  • Basic understanding of data analysis concepts and tools (e.g., Excel, SQL).
  • Familiarity with programming concepts, preferably in Python or R.
  • Understanding of core machine learning principles and algorithms.
  • Familiarity with cloud computing fundamentals and platforms (e.g., AWS, Google Cloud, Azure) is a plus but not mandatory.
  • A general awareness of AI applications in different industries.

While these prerequisites will help students grasp the course material more effectively, we believe that motivated learners can fill in any gaps as they progress.


Target Audience for From Data to Decision: A Comprehensive Guide to AI, MLOps, and GenAI

From Data to Decision is an in-depth course designed to equip professionals with essential knowledge in AI, MLOps, and GenAI to drive impactful data-driven decision-making.


  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Business Analysts
  • Data Analysts
  • IT Managers
  • Software Developers
  • Data Engineers
  • Project Managers
  • Statisticians
  • Product Managers
  • Digital Transformation Leaders
  • Technology Enthusiasts
  • Executive Decision Makers
  • Academic Researchers


Learning Objectives - What you will Learn in this From Data to Decision: A Comprehensive Guide to AI, MLOps, and GenAI?

Course Overview

The "From Data to Decision: A Comprehensive Guide to AI, MLOps, and GenAI" course equips learners with essential skills to leverage AI technologies, implement MLOps practices, and optimize decision-making processes in a data-driven world.

Learning Objectives and Outcomes

  • Understand fundamental concepts of artificial intelligence (AI) and its applications.
  • Explore machine learning operations (MLOps) and its significance in deploying AI models.
  • Gain insights into generative AI (GenAI) and its impact on innovation.
  • Learn to create and manage data pipelines for effective data utilization.
  • Develop skills to evaluate and improve model performance.
  • Implement best practices for model deployment and monitoring.
  • Understand ethical considerations and data governance in AI projects.
  • Master tools and frameworks used in AI and MLOps environments.
  • Analyze case studies to grasp real-world applications of AI and MLOps.
  • Enhance problem-solving skills using AI solutions for business challenges.

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