Préparer sa Carrière à l’ère de l’IA

Préparer sa Carrière à l'ère de l'IA

Date:

Webinar at GO AI Academy, Online

About

Presented alongside Aristide BANDAOGO, CEO of GO AI Corporation, this webinar explored how to prepare your career for the AI revolution.

Topics I Covered

1. Conceptual Clarification

  • Brief history of AI (from 1943 to today)
  • Key terms: Data Science, Machine Learning, Deep Learning, AI
  • Types of AI and evolution

2. Boom Factors of AI

According to Fei-Fei Li, three powerful forces inaugurated the modern AI era:

  • Explosion of data (Big Data): Data is the fuel of AI
  • Increased computing power: GPUs, TPUs, cloud computing
  • Algorithm advances: Deep Learning breakthrough in 2012, Transformers

3. Data & AI Careers

  • Data Engineer, Data Miner, Data Scientist
  • ML Engineer, Deep Learning Engineer
  • NLP Engineer, Computer Vision Engineer, GenAI Engineer
  • Data/BI Analyst

4. AI Opportunities

Multi-sector applications:

  • Digital biology, climate technology, agriculture
  • Robotics, transportation, logistics
  • Education

5. In-Demand Jobs by 2030

Key insights:

  • Software development jobs down ~35% in 5 years
  • Entry-level positions disappearing: 50% could be automated in 5 years
  • Senior AI/ML, cybersecurity roles exploding
  • Engineering jobs expected to grow ~17% by 2033

6. Skills to Develop

According to industry leaders:

Jensen Huang (NVIDIA CEO):

“If I were a student today, the first thing I’d do is learn AI… How to interact with ChatGPT, Gemini Pro, Grok.”

Sam Altman (OpenAI CEO):

  • Resilience & adaptability
  • Speed of learning
  • Creativity in problem-solving
  • Mastery of tools, especially AI
  • Code, for thinking and creating

Yann LeCun (Meta Chief AI Scientist):

  • Focus on fundamental disciplines: applied math, physics, computer science basics
  • Avoid short-lived technical skills

7. The Job Market in 2030

  • Massive growth in frontline roles (agricultural workers, delivery, construction)
  • Rise of care and education jobs mastering AI tools
  • Growth in AI, robotics, renewable energy specialists
  • Decline of repetitive tasks (cashiers, admin assistants, graphic designers)

Presentation Slides

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