New trends in artificial intelligence (AI)
New trends in artificial intelligence (AI)
The AI paradigm is evolving daily, and it is essential to stay up to date with its key types, underlying methodologies, the most relevant tools and models, and how they are applied in real-world use cases. This activity will cover the latest developments and their application for both personal productivity and business innovation.
Specific goals | Temary
OBJECTIVES
- Differentiate the main categories and subcategories of contemporary Artificial Intelligence.
- Identify and describe the most influential technological trends in current AI.
- Understand (conceptually) the basic methodologies enabling these trends (ML, DL).
- Recognize representative tools associated with key trends and their main purposes.
- Analyze specific examples and real-world applications of AI across various domains (personal, healthcare, finance, industry, creativity, etc.).
- Develop an informed perspective on the opportunities and challenges associated with AI advancement.
COURSE CONTENT
- Generative AI
- What it is and how it works (conceptually): Foundational Models, LLMs (GPT, Llama, Gemini), Diffusion Models.
- Different models for different tasks: Thinking, Flash, Mini, Reasoning...
- Text Generation: Tools (ChatGPT, Claude, Perplexity), applications (content creation, assistants, summarization), basic prompting.
- Multimedia Generation: Image, Video and Music. Creative and professional applications.
- Key use cases (personal and business). Associated risks (bias, deepfakes, intellectual property).
- How to choose the best LLM? Current tools and benchmarks.
- Hands-on with different LLMs depending on the use case.
- Local LLMs.
- Computer Vision ¿ The AI that "Sees"
- Basic principles: How machines interpret images and videos.
- Key applications: Object/face recognition, medical analysis, autonomous driving, quality control, security, AR/VR.
- Representative tools.
- Real-world impact examples.
- Hands-on with image interpretation tools.
- Integration, Cross-Tools and Future Outlook
- How different AIs integrate: Examples of hybrid systems.
- Vibe Coding.
- Identifying application opportunities: Simple working framework.
- Current challenges: Ethics, regulation (AI Act), talent, social impact.
- Future vision: Likely upcoming advancements.
- Recap and Q&A.
Editions
General information
>> In case the format is virtual via streaming, it will be carried out through the free platform Microsoft Teams. Registered individuals will receive the invitation link and access instructions by email before the session starts.
>> Entry to the classroom will not be allowed after 15 minutes once the activity has started.
>> The language in which each session is conducted is informed in the description of each activity.
>> Any of the training actions of Cibernàrium may be recorded through an image capture system that aims to subsequently disseminate them through a medium or support within the scope of the mission of Barcelona Activa to contribute to economic promotion and employment. In the recording process, images of attendees may eventually be recorded. Registration for Cibernàrium activities implies authorization for Barcelona Activa to use these images for the aforementioned purpose.
Course ratings
Trainer's person
RODRIGUEZ CLAVER
Related courses
- Artificial Intelligence for Chatbot Creation with ChatGPT and Dialogflow
- Artificial Intelligence for Decision-Making and Data Analysis
- Artificial Intelligence for Task Automation and Productivity Improvement
- Automate your marketing tasks with AI
- Chatgpt from scratch to experts: Master this artificial intelligence (AI) tool
- Create your own melodies with Artificial Intelligence (AI)
- Cybersecurity with ChatGPT
- Design your company's Social Media Plan with artificial intelligence (AI)
- Make yoour own chatbot
- Master Copilot in Microsoft 365
Personal Data Protection Law
There is a new version of Personal Information Protection law.
Please, accept it before continuing the registration.
