Our AI trainings provide a comprehensive overview of artificial intelligence while strengthening knowledge regarding machine learning.
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These programs are highly recommended for organizations seeking to improve workplace efficiency using artificial intelligence. For details on generative AI (such as ChatGPT, Gemini, and Copilot), please refer to specific training pages listed below.
This category page features a range of training programs designed to master generative AI fundamentals (such as ChatGPT) and its, practical applications in business including prompt engineering, risk management strategies and security.
Furthermore, these training programs provide effective themes tailored to all audiences, from complete beginners with minimal AI knowledge to experienced users seeking to use it more effectively.
AI refers to technology that enables computer systems to simulate human perception, cognition, reasoning, and learning. By utilizing data and algorithms, AI can identify optimal solutions and facilitate decision-making.
GenAI is a branch of artificial intelligence that uses deep learning models to create new, original content rather than simply analyzing or classifying existing data. By identifying complex patterns and structures within massive datasets, these models can autonomously generate high-fidelity outputs, including text, images, code, and audio, that mimic human-like creativity and reasoning.
The following section outlines the key differences between the various types of AI. Beyond the generative capabilities seen in current platforms like ChatGPT and Gemini, these advanced models represent a deeper level of AI specialization and the distinct benefits it can provide.
| Explanation | Specific Example | |
|---|---|---|
| Artificial Narrow Intelligence (ANI) | A "Specialist." It is designed to excel at one specific task but is incapable of executing other functions. | Language Translation: Google Translate can convert text but cannot drive a car. |
| Generative Artificial Intelligence (GenAI) | This refers to AI that learns from existing data to generate new content (text and images, etc.). GenAI uses deep learning and large language models (LLMs) to generate entirely new outputs. | Content Creation: ChatGPT (text) and Midjourney (images) create content based on your prompts. |
| General Artificial Intelligence (AGI) | AGI is a hypothetical form of AI that possesses the ability to understand, learn, and apply knowledge across any intellectual task that a human can do. While GenAI can write a poem and another AI can drive a car, an AGI could accomplish both, while independently learning to perform surgery or develop a new scientific theory. It represents an intellectual peer that has the same flexible thinking and learning ability as a human being. | Theoretical: An AI that could learn to be an accountant, a chef, and a coder all at once. |
| Artificial Super Intelligence (ASI) | A "Mastermind." AI that is significantly more intelligent than the smartest human in any given field. It is capable of handling highly complex tasks and continuously improving its own capabilities over time. | Theoretical: A system that solves global climate change or invents new laws of physics instantly. |
Developing AI-proficient employees is a vital requirement for modern enterprises. The ability to integrate AI into business operations offers the following strategic advantages:
By utilizing AI, you can achieve significant results in a limited amount of time. Tasks that require human effort can be supported by AI to get optimal results quickly. While human verification remains essential, AI’s ability to accelerate the process enhances overall productivity.
By using AI, it is possible to minimize human error significantly. Integrating AI into a company's systems management is a concrete example. Reducing errors will also lead to the aforementioned improvements to productivity.
Human resources are limited. For this reason, organizations and companies should focus their efforts on high priority tasks that lead to innovation and improvement, such as critical thinking, idea generation, and developing strategies.
To achieve this, it is necessary to automate tasks whenever possible, leveraging AI to create additional time for employees. Moreover, AI addresses labor shortages and offers long-term cost reduction, thereby leading to its rapid adoption across companies.
Companies are expected to develop a capable workforce who can utilize AI in their day-to-day work in order to generate these benefits. These are known as “AI professionals” (individuals who possess knowledge of machine learning, deep learning and data science, and are able to apply it in practice). According to the Ministry of Economy, Trade and Industry’s ‘Survey on the Supply and Demand of IT Professionals (April 2019)’, the industry faces a projected shortage of 124,000 AI-skilled professionals, making AI professional development an urgent priority for companies.
Our training programs include not only AI training, but also machine learning training, DX training, and ChatGPT training (understanding and application), offering a wide range of options to teach specific usage methods. These programs can be tailored to your organization’s specific needs, so please feel free to contact us for further information.
These AI training programs provide the following features:
Each program includes concise, easy-to-understand textbooks and practical workshops, enabling participants to efficiently progress from foundational concepts to advanced applications.
The scope of artificial intelligence covers a very broad range of topics. For this reason, our curriculums are designed systematically step-by-step, progressing from fundamental methodologies to practical applications. Each program also includes algorithmic expressions and mathematical formulas as needed, allowing participants to clarify specific processing steps and deepen their understanding of artificial intelligence.
Our AI trainings provide a comprehensive overview of artificial intelligence while strengthening knowledge regarding machine learning.
| Training Course Title | Training Duration | |
|---|---|---|
|
In-company AI Fundamentals Training [Understanding Machine Learning & Deep Learning] |
7 hours
(Can be changed) |
|
In-company Web Content Production Training: AI Utilization Edition |
3 hours
(Can be changed) |
Here is an example of a curriculum for AI Training . Please use it as a reference for the flow of the training.
01AI Overview
Understand how AI works and their limitations.
02Art of the Prompt
Learn how to incorporate effective prompting to maximize the capabilities of AI.
03Advanced Prompting & Workflows
Review advanced prompting techniques.
04Data Privacy, Bias, & Ethics
Develop awareness around how data privacy, bias, and ethics must be considered when using AI.
05AI as a Collaborative Partner
Grasp additional functionalities of AI as a collaborative partner.
06Multimodal AI & Automation
Gain additional skills to use AI beyond text functions.
LASTBuild Your AI Playbook
Identify and create a workflow to integrate AI into daily work.
Reskill’s AI training is a comprehensive program designed to teach a foundational understanding of artificial intelligence and to provide to the participants the practical skills required to implement AI solutions effectively.
At Reskill, we specialize in providing high-quality training courses specifically for corporate clients (B2B). Our programs are designed to be delivered to teams and organizations, allowing us to tailor the content to specific business needs and goals. If your department is interested in this training, we would be happy to help!
Prior experience is not required at all! Our training is structured to be beneficial to participants of all backgrounds, including those new to AI and non-engineers. It is recommended for any teams planning to implement AI in their work in the future.
Yes, most of our training programs are designed to be completed in one day. The program provides a comprehensive overview, covering everything from fundamental AI terminology to practical analysis methods, focusing on the most critical elements for immediate to your organization. It can also provide specific recommendations tailored to your goals. Please feel free to contact us for further details.
Yes, this is entirely possible! Reskill’s training modules are customizable and can be combined to suit your specific needs. Basing on the following factors, we will propose the most effective training plan for your company:
• Duration: the total number of days you wish to allocate for the program.
• Target Learning Outcomes: your specific goals (e.g., establishing foundational literacy, including practical exercises, introductory overviews, or mastering advanced prompt engineering).
• Target Audience: the specific employee groups being trained (e.g., non-technical staff, management, etc.).
We can also recommend other training programs. Please feel free to contact us.
There are no assignments required to conduct these training sessions! Our AI training programs are designed to be entirely self-contained within the scheduled session hours. There are no mandatory pre-assignments, nor are participants required to submit reports or feedback documents afterward. We conduct a brief survey (3-5 minutes) at the end of the session to help you design a comprehensive internal training roadmap, including the most effective sequencing of modules for your team. Please feel free to contact us for a consultation.
Also, we can accommodate specific corporate requirements upon request, such as providing additional or recommended supplementary reading materials for those who wish to prepare in advance.
The primary distinction lies in the objective: whether the system is designed to create original content or to process and analyze specific tasks.
• Generative AI: refers to artificial intelligence capable of producing entirely new data and generating diverse outputs, including text, images, audio, and video, based on learned patterns (e.g., ChatGPT, Gemini).
• Conventional AI (Discriminative/Analytical AI): refers to algorithms programmed to execute specific tasks. Using machine learning and deep learning, these systems analyze data to identify patterns and perform designated functions such as image recognition, speech-to-text, or predictive analytics.
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