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AI & Generative AI Bootcamp Course Overview

AI & Generative AI Bootcamp Course Overview

The AI & Generative AI Bootcamp course is an immersive educational experience designed to equip learners with the essential skills needed to excel in the field of artificial intelligence, with a specific focus on generative AI techniques. This comprehensive bootcamp covers a broad range of topics, starting with foundational Python programming skills in Module 1, where students learn everything from basic syntax to advanced Object-oriented programming concepts.

Advancing into Module 2, the course delves into Machine Learning Essentials, where learners gain critical knowledge in Statistics, various ML algorithms, and Feature selection techniques. This module serves as the bedrock for understanding how to build and deploy machine learning models.

In Modules 3 and 4, the bootcamp transitions to practical applications, focusing on Microsoft Azure AI Fundamentals and the design and implementation of AI solutions on Azure, respectively. Students explore Cloud concepts, AI workloads, Computer vision, NLP, and implement generative AI solutions.

Module 5 is dedicated to ChatGPT for end users, enhancing their understanding and skills in interacting with this cutting-edge technology. Module 6 offers Azure OpenAI training for developers, where they can learn to work with various models and libraries, and even delve into fine-tuning models for specific tasks.

Overall, this generative AI course is structured to provide a well-rounded education, from theoretical concepts to hands-on implementation, thereby preparing learners to create innovative AI solutions in a rapidly evolving tech landscape.
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Intermediate

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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

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Course Prerequisites

To successfully undertake the AI & Generative AI Bootcamp course, it is important that participants have a foundational understanding and skills to ensure they can keep up with the course content. Here are the minimum required prerequisites for this course:


  • Basic understanding of computer operations and software installation.
  • Familiarity with programming concepts and experience in any programming language (preferably in Python, as the course has a strong Python component).
  • Basic knowledge of mathematics, especially in areas of algebra and statistics, to understand the underlying principles of Machine Learning algorithms.
  • An understanding of the fundamental concepts of data structures such as lists, tuples, sets, and dictionaries.
  • The ability to navigate and perform operations on the command line interface (CLI) can be beneficial.
  • General comprehension of cloud computing concepts and principles would be helpful for the Azure-specific modules.
  • While not mandatory, some exposure to Machine Learning concepts and terminology would be advantageous for grasping the course content more effectively.

These prerequisites are designed to ensure that learners are able to fully benefit from the course without feeling overwhelmed by its technical aspects. It is also recommended that students have a curious and analytical mindset, as well as a willingness to engage with complex problem-solving scenarios.


Target Audience for AI & Generative AI Bootcamp

Koenig Solutions' AI & Generative AI Bootcamp course offers comprehensive training in Python, machine learning, Azure AI, and OpenAI applications for tech professionals.


  • Software Developers seeking to integrate AI into their applications
  • Data Scientists aiming to enhance their machine learning and AI skills
  • AI Enthusiasts interested in understanding generative AI and its applications
  • IT Professionals looking to upskill in AI technologies and cloud-based AI solutions
  • Business Analysts wanting to leverage AI for better data-driven decision-making
  • Machine Learning Engineers expanding their expertise to Azure and generative AI models
  • Computer Vision Engineers interested in Azure's computer vision workloads
  • Natural Language Processing Specialists looking to implement NLP solutions
  • Data Analysts interested in utilizing Python for data analysis and visualization
  • Cloud Engineers aiming to specialize in AI solutions on Microsoft Azure
  • Technical Project Managers overseeing AI projects and implementation
  • Students and Academics in computer science or related fields exploring AI advancements
  • End Users and Tech Hobbyists curious about ChatGPT and its practical uses
  • Software Architects designing AI and machine learning systems
  • DevOps Engineers interested in the deployment of AI solutions in cloud environments
  • Technical Sales Professionals understanding AI solutions for better client engagement


Learning Objectives - What you will Learn in this AI & Generative AI Bootcamp?

Introduction to the AI & Generative AI Bootcamp Course Outcomes:

Gain a comprehensive understanding of AI, from Python programming foundations to advanced AI and Generative AI concepts, including Azure AI solutions and ChatGPT applications.

Learning Objectives and Outcomes:

  • Master the fundamentals of Python programming, including data types, control structures, functions, and object-oriented programming concepts.
  • Develop proficiency in Python libraries like Numpy for numerical operations and Pandas for data manipulation, along with data visualization using Matplotlib.
  • Understand the complete ML lifecycle and apply various machine learning techniques such as regression, classification, clustering, and dimensionality reduction.
  • Gain practical knowledge of statistics and mathematics essential for feature selection and model evaluation in machine learning.
  • Learn to implement and manage AI solutions on Microsoft Azure, including decision support, computer vision, NLP, and knowledge mining.
  • Explore the principles and applications of AI workloads on Azure, focusing on machine learning, computer vision, NLP, and generative AI.
  • Acquire skills in designing AI applications with Microsoft's Azure AI services, ensuring effective planning and deployment of comprehensive AI solutions.
  • Understand and leverage ChatGPT's capabilities for various tasks, improve text prompting for enhanced results, and address reliability and privacy concerns.
  • Delve into Azure OpenAI, familiarizing with its libraries and models, and understand how to utilize text and code completion models.
  • Learn the intricacies of image generation models and the fine-tuning process for customizing AI models to specific needs and contexts.

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