AI & Generative AI Bootcamp Course Overview

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.