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AI/ML Training for Managers

AI/ML Training for Managers is a 1-day introduction to artificial intelligence/machine learning. This course is especially beneficial for managers who want to see the “big picture” in order to communicate with technical as well as non-technical individuals.

AI/ML Training for Managers covers the most important aspects of beneficial AI/ML techniques without getting too involved in the technical nitty gritty.

Managers and team leaders need to keep up with AI developments because its’s pretty clear that artificial intelligence apps and software are changing the way businesses operate.

By incorporating AI into different aspects of business, organizations have the tools to create streamlined, efficient processes that give companies a competitive edge.

Many managers are finding that AI and machine learning are even making their jobs easier by automating time-consuming tasks and assisting in data-driven decisions.

Studies demonstrate that managers are better equipped to help their organizations implement new initiatives when they have a clearer understanding of AI and ML technology.

Managers with AI training are certainly in a better position to help their organization with digital transformations and overall digital strategies. AI training can provide managers and team leaders with insights into how AI, big data, and machine learning can be applied to different industries. With this foundational knowledge, managers may want to pitch in to help take their company’s strategic initiatives to the next level.

Analysts believe artificial intelligence and machine learning tools provide teams with in-the-moment insights into objectives, management behavior, and engagement patterns to optimize their impact by learning from prior target results.

Can AI help a good manager become great?

Maybe. Artificial intelligence applies to many areas of business, from improving employee and customer relations to finding patterns in a huge amount of data to automating repetitive processes.

Most managers should benefit from these changes since they can spend more time focusing on how they can add value to their organizations. Clearly, to succeed in business, you must embrace the potential of artificial intelligence, including scaling your skills and maximizing AI’s impact.

AI/ML Training for Managers Course by Tonex

The importance of having a working knowledge of artificial intelligence and machine learning goes beyond the realm of developers and technology specialists.

Artificial intelligence has gone from behind a buzzword to being implemented in driverless automobiles and winning unwinnable games.

In today’s tech environment, managers have a lot of tools to choose from to improve their team’s productivity and have a smooth flow of customers or leads for their business. With the help of AI, they can remove themselves from mundane tasks and add more value to the business.

Artificial intelligence can analyze massive amounts of data and derive insights from it. This can be useful in many scenarios. For example, a company that has been running at a loss for the past couple of years, may want to derive actionable insights using the data.

Of course, there is no way managers can go through the entire data. However, putting the same data into an AI model, the AI model will study the data much faster and give the required insights that could lead to a profitable business once again.

AI can also enhance team dynamics for managers by providing prompt feedback to team members and increasing accountability. AI uses NLP and chatbots to determine who requires positive feedback at the end of the week and informs the manager or even offers feedback.

AI can also pinpoint who needs additional coaching and prepare a detailed one-on-one meeting plan for the manager and employee.

For HR managers, AI/ML modalities can be extremely useful by providing services like job automation. Using Robotic Process Automation, time-consuming tasks such as resume analysis, salary processing, responding to employee inquiries, performance evaluation, scheduling meetings based on attendee availability, etc., can be automated.

AI can also simplify the interview process and takes up a considerable portion of the workload of the HR manager.

The major use cases of artificial intelligence in business management include predictive analytics, process automation, customer analytics, security surveillance, and job optimization. Predictive analytics can help businesses to predict future trends based on their current business data.

Additionally, learning how to use AI/ML effectively has never been easier for managers and team leaders. New no-code platforms are designed to allow various industries to create solutions that would have previously required involved programming. No-code platforms use intuitive, interactive user interfaces allowing managers to quickly classify information, perform data analysis, and create accurate data predictions with models.


Who Should Attend?

AI/ML Training for Managers is a 1-day course designed for:

  • C-Suite: CIOs / CTOs /CSOs
  • SVPs
  • VP
  • General Managers
  • High Potentials
  • Program and Project Managers
  • IT Leadership
  • IT Infrastructure Managers
  • Developers and Application Team Members and Leads
  • IT Project & Program Managers
  • Product Owners and Managers
  • Non-Engineers involved in Procurement and Project Management
  • Other

AI/ML Training for Managers by Tonex Course Highlights

Participants will learn to recognize the emergence of artificial intelligence and machine learning as a competitive strategy as well as learn foundations of data science on which AI models are built.

Additionally, participants will learn descriptive, diagnostic, predictive, and prescriptive analytics and their applications in generating solutions for business problems.

The expanding benefits (and business advantages) of utilizing AI/ML technologies have never been greater.

If you’re a non-technical manager, this course will help you work with, oversee, and generate value from artificial intelligence and machine learning. You will develop a shared language you can use when speaking with engineers and technical professionals involved in AI and ML

You will participate in small group discussions, examine case studies and models, and leave with valuable frameworks. You will earn a certificate of course completion.

Course Agenda

  • Overview of Data Science
  • Artificial Intelligence (AI) and Machine Learning (ML) and Machine Learning (ML Terminology and Principles
  • Core Concepts and Techniques behind AI and ML
  • Introduction to Deep Learning (DL)
  • Differences and Similarities between Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL)
  • Overview of Natural Language Processing (NLP)
  • NLP and the ability of computers to understand, interpret and generate human language.
  • Learning Applied to AI/ML
  • Principles of Supervised Algorithms
  • Principles of Unsupervised Learning
  • Principles of Neural Networks
  • Overview of ChatGPT: A Breakthrough in Natural Language Processing
  • Applied Artificial Intelligence (AI) and Machine Learning

Case Studies and Workshops

  • AI Applied to Autonomous Driving
  • Robotics: Vision Intelligence and Machine Learning
  • AI/ML Applied to Cybersecurity
  • Overview of Neural Networks and How It can Solve Complex Problems


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