Training in Generative AI and Agent-Based AI
Generative AI is emerging as an indispensable technology, and its evolution toward agent-based AI is opening up new possibilities. But beyond the sometimes overly enthusiastic or alarmist rhetoric, the key is to understand what these models are, how they work, and what they are actually capable of.
This training program combines fundamental concepts, real-world insights, and practical exercises (including the coordination of a first-line agent) to provide participants with a solid foundation for taking action today while preparing for future changes.
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training session on generative AI and agent-based AI
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Training Objectives
- Understanding the origins and inner workings of a generative model without getting lost in the technical complexity
- Be able to write appropriate and effective prompts based on specific use cases
- Knowing how to distinguish between what is mature, what is still developing, and what is purely speculative in the applications of AI
- Identify concrete opportunities for implementation within their organization, ranging from quick wins to transformative projects
- Anticipating the Organizational, Human, and Ethical Impacts of Deploying Generative AI
- Experiment with the simple implementation of an AI agent and understand the orchestration steps
Course Content
- Discover the origins and evolution of generative models
- Explain how a language model works in an accessible way
- Exploring the Continuum Between Generative AI and Agent-Based AI
- Apply best practices for prompting and identify use cases (productivity, automation, analysis, creation, assistance)
- Analyze mature, emerging, or even speculative use cases
- Identify opportunities for one's organization and anticipate the human, organizational, and ethical impacts
- Conduct prompting and orchestration exercises for an initial AI agent
- Capitalize on feedback and document key points to take concrete action
Qualiopi Certification
iQo is Qualiopi-certified, which attests to the quality of the training services offered by iQo.
This certification, which adds value for both our clients and iQo, requires us to adhere to a set of quality standards when conducting our training programs.
As a Qualiopi-certified training organization, iQo offers its clients the opportunity to have all or part of the training provided under this program funded.
- Choose between in-person or online training.
- At our iQo offices in Paris's 8th arrondissement.
- 2 days (14 hours)
- €1,840 per person
Contact us
- Choose between in-person or online training.
- At our iQo offices in Paris's 8th arrondissement or at your location
- 2 days (14 hours)
- Price upon request
Contact us
200+
training courses completed
2000+
people trained
90%
success rate
50+
trained clients
Frequently Asked Questions
Do you offer in-house, customized training for my company?
All of our training courses are available as in-house training. We tailor the content (examples, case studies, etc.) to your specific requests and the unique characteristics of your business and industry. We ensure that the training we provide is best suited to your strategic, operational, and technological environment.
Are your training courses updated frequently (e.g., Artificial Intelligence...)?
Our trainers are also consultants who work year-round with CIOs and their teams. In addition to having a deep understanding of the challenges you face on the ground, we continuously monitor the latest technological news and trends. Our training programs are designed to help you accelerate your digital transformations, particularly those related to key issues such as AI and data…
What is an AI agent?
An AI agent is an AI that does more than just generate content; it can act autonomously within a given environment. Specifically, an agent combines generative models with:
- action capabilities (API calls, execution of scripts or tools),
- orchestration (linking several steps or tasks),
- and planning (deciding on the best sequence of steps to achieve a goal).
An AI agent is therefore capable of carrying out an entire workflow, such as analyzing data, querying an external database, and then automatically drafting and sending a report.
What is the difference between generative AI and an AI agent?
Generative AI produces content in response to a prompt (e.g., writing a text, generating an image).
An AI agent, on the other hand, goes a step further: it can make decisions, coordinate actions, and interact with other systems to achieve a goal from start to finish.
In summary: Generative AI creates, while the AI agent acts and executes.
How are AI agents reshaping my job?
AI agent orchestration creates value for your business by automating manual tasks and transforming them into intelligent workflows.
This results in significant time savings, fewer operational errors, faster decision-making, and the ability to standardize complex processes.
The result: a measurable ROI and a more agile and high-performing organization.
What are some practical use cases for generative AI and AI agents?
There are numerous practical applications of generative AI and AI agents across various industries:
Marketing: creation of personalized content (articles, posts, emails), campaign optimization, design of visuals, and real-time analysis of marketing results.
Customer Service: Virtual assistants capable of responding to customers 24/7, and self-service agents who handle simple requests (e.g., order tracking, complaints) and forward complex cases to human teams.
Process automation: orchestration of repetitive tasks (database updates, report generation, API integration), reduction of human error, and acceleration of decision-making.
Human Resources: recruitment support (resume screening, drafting job postings), digital onboarding, and HR assistants to answer internal questions.
Finance & Operations: automated financial data analysis, anomaly detection, preparation of regulatory reports, supply chain optimization.
👉 In summary: Generative AI creates content and immediate value, while AI agents execute and automate entire workflows to improve productivity and the customer experience.
