The other side of AI
Artificial intelligence (AI) has profoundly transformed our daily lives, from the way we work and communicate, to how we approach complex problems...
Oct 14, 2024 106
🗓️ Última actualización | hace 1 mes |
The platform will seek to democratize access to AI knowledge, providing updated and practical content on tools, techniques, and real applications.
To train professionals, students, and companies in the efficient and ethical use of artificial intelligence, allowing them to master essential tools and frameworks such as Python, TensorFlow, PyTorch, AutoML, among others, to apply AI in different industries such as marketing, health, education, finance, and more.
1. Course Catalog:
- Courses by level: basic, intermediate, advanced.
- Key topics: Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative Artificial Intelligence (Chatbots, Models like GPT).
- Practical applications: how to apply AI in business projects, task automation, data analysis.
2. Interactive Platform:
- Personalized Control Panel: Users will be able to track their progress, save projects and get recommendations based on their interests.
- Practical Exercises: Students will be able to implement AI models directly from the platform with integrated tools (Jupyter Notebooks, Google Colab).
- Automated Assessments: Evaluation of the knowledge acquired through automated tests and practical exercises.
3. Certifications:
- Digital Certificates endorsed by Data Labs at the end of each course or program.
- Opportunity to acquire a professional certification in collaboration with academic institutions and technology companies.
4. Integration with AI:
- Use of an AI Assistant within the platform to answer questions, guide users, and recommend courses or exercises based on the learning profile.
- Creation of practical projects guided by AI (e.g. development of a chatbot, image classification, etc.).
5. Community and Collaboration:
- Forum for discussion between students and experts.
- Live mentoring sessions and webinars with AI specialists.
- Collaborative project: students can work together on AI projects within the platform.
6. Subscription Plans:
- Freemium: free access to basic courses, with limited content.
- Premium: full access to all courses, certifications, and hands-on projects.
- Business: special plans for companies that want to train their team in AI.
7. Multilingual Support:
- Courses available in Spanish and English, with subtitles in other languages for global audiences.
1. Phase 1: Research and development (1-2 months)
- Development of the MVP (Minimum Viable Product) with introductory courses.
- Beta testing with a small group of users.
2. Phase 2: Content expansion (3-4 months)
- Creation of intermediate and advanced courses.
- Implementation of interactive tools and certifications.
3. Phase 3: Marketing and scalability (5-6 months)
- Digital marketing campaigns focused on professionals and companies.
- Strategic alliances with educational institutions and technology companies.
- Inbound Marketing: Create a blog with content about AI, tutorials, and success stories.
- Social Media: Promote courses through LinkedIn, YouTube, and Twitter with free content such as webinars and demos.
- SEO and SEM: Search engine optimization and paid ads on Google and Facebook Ads.
Referencia: #AILearningHub
🔖Condición: Prototipo Digital
Agencia: Data Labs 📊
AI Learning Hub será una plataforma de eLearning diseñada para ofrecer cursos especializados en el uso de la inteligencia artificial, tanto para principiantes como para profesionales avanzados.
Artificial intelligence (AI) has profoundly transformed our daily lives, from the way we work and communicate, to how we approach complex problems...
Oct 14, 2024 106