TRAINING
INTRODUCTION
ARTIFICIAL INTELLIGENCE

Duration: 2 days

Price: €1600 excluding VAT

Online or on-site training

The added value of this training:
The trainer participates in working groups and research projects on artificial intelligence.

Knowing how to identify opportunities and technologies related to artificial intelligence

IT managers, webmasters, data analysts, developers, business executives

Upon completion of the training, the trainee will be able to:
Recognize opportunities for using artificial intelligence
Choose the appropriate artificial intelligence technology for the use case

A training certificate will be issued to trainees who successfully complete their multiple-choice questionnaires.

The trainee may use this certificate as proof of completion.

THE TRAINER
The trainer is currently working and manages his clients’ servers. He has over 20 years of experience.

DURATION
The training is organized into four half-days of 3.5 hours each, totaling 14 hours.

DATES
Dates are communicated to participants in writing.


TRAINING LOCATION
Online, using Teams software, or in person.


FEES
The cost of the training is €1600 per participant.


FUNDING
Contact us for more information.

Have an internet connection
Have a computer

Training Registration Process:
Pre-admission Interview: a telephone interview with the trainer to assess the applicant’s skill level and motivation, including consideration of any disabilities and potential training adaptations.
Presentation of the applicant’s challenges and definition of the training’s professional objectives.
Submission of administrative documents: training program, course description, quote, agreement or contract, and requests for supporting documents.
Receipt of the complete registration file and verification of all required documents.
Registration must be finalized, with a complete file, at least 3 days before the scheduled start of the training.

An assessment will be held at the end of the session. This will be in the form of a multiple-choice questionnaire.

A training certificate will be issued to participants who have completed the entire training and who have obtained an average score of 10/20 on the assessment questionnaire.

Educational course
Practical exercises
AI behavior analysis

A Mac or PC computer
Course materials
Internet connection

If you require specific accommodations (physical or educational accessibility) to follow this training course, please contact us by phone or email : accessibilite@aiola.fr

At the end of each training session, you will be asked to evaluate the training you received. An overall rating is calculated based on these evaluations.
To provide you with the best possible information on the quality of the training provided, as perceived by participants, the website aiola.fr displays the results of evaluations by participants of past training sessions, provided that these sessions have been offered at least once.

The maximum number of participants is set at 4.

The minimum number of participants required for the training to take place is 1. If this minimum is not met, the date will be postponed, or the training may be cancelled. In either case, you will be informed in advance, and in the event of cancellation, you will be reimbursed for any payments made.

The conditions are specified in the training agreement or contract and the general terms and conditions of sale, which you can access on the website aiola.fr

Upcoming performance indicator

No trainees participated in this training.

% of trainees who have completed the training

*** Last updated: 02/06/2025 ***

1. INTRODUCTION AND DEFINITION OF ARTIFICIAL INTELLIGENCE
  • An introduction to artificial intelligence
  • Characteristics of artificial intelligence

2. USE CASES OF ARTIFICIAL INTELLIGENCE
  • Presentation of the different use cases
 
3. THE DIFFERENT AI TECHNOLOGIES
  • Presentation of the different artificial intelligence technologies
 
4. GPT CHAT STUDY
 
5. OPENAI STUDY
 
6. MID JOURNEY STUDY
 
7. PRACTICAL WORK AND PROMPT CREATIONS
  • Scenario
  • Creating prompts
  • Behavioral analysis
 
8. LEARNING THE MODEL

9.PRODUCTION DEPLOYMENT OF THE MODEL
 
10. TRAINING CHATBOTS
 
11. BUILDING A CHATBOT (dialogflow)
 

12. INTEGRATING A CHATBOT INTO A WEB PAGE

13. USING OPEN AI

14. CONCLUSIONS

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