AI/ML Training for Managers
AI/ML Training for Managers is a 2-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.
Experts in sound business management agree: Understanding Artificial Intelligence (AI) and Machine Learning (ML) is no longer optional for managers.
These technologies are reshaping industries, from healthcare and finance to retail and logistics, offering efficiencies and insights that can be game-changers for organizations. Here’s why every manager should develop a strong grasp of AI and ML.
Clearly, AI and ML can help managers make data-driven decisions with precision and speed. Machine learning algorithms analyze vast amounts of data, identifying patterns and trends that might otherwise go unnoticed. This can help managers in predicting customer behavior, optimizing supply chains, and even forecasting market shifts.
With a basic knowledge of AI and ML, managers can better interpret these insights, aligning them with strategic goals.
AI and ML can also drive automation, allowing teams to focus on more strategic and creative work. By automating repetitive tasks such as data entry, customer service inquiries, or inventory management, AI can free up employees’ time and increase productivity. Managers who understand AI can more effectively oversee these transitions, guiding their teams in integrating these tools without disrupting workflows.
Another essential aspect is that AI and ML bring new ethical and regulatory challenges. From data privacy concerns to algorithmic biases, the use of these technologies must be managed responsibly. Managers aware of these issues can ensure compliance with regulations and foster ethical AI practices. They can also address employee concerns around automation and job displacement, building a culture of transparency and trust.
Additionally, understanding AI and ML can give managers a competitive edge. As companies increasingly adopt these technologies, managers who lack this knowledge may struggle to keep pace. Familiarity with AI and ML allows managers to innovate, improve processes, and adapt to the digital landscape, positioning their organization as a forward-thinking leader in the market.
In summary, AI and ML are transforming business operations. Managers who invest time in understanding these technologies can make more informed decisions, support automation, address ethical challenges, and maintain a competitive advantage in an AI-driven world.
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