How to Become an AI
Expert
iabac.org‌
Builds and works with AI systems.‌
Job roles:‌AI Engineer, Machine Learning Engineer, AI Developer, Data‌
‌
Scientist, AI Specialist.‌
Responsibilities:‌
Train and test AI models‌
Analyze large datasets‌
Create practical AI solutions‌
Industries: ‌
Healthcare, Finance, Retail, Marketing, Tech‌
Who is an AI Expert?
iabac.org‌
Degrees: ‌
Computer Science, Data Science, Mathematics, Statistics‌
Certifications‌
IABAC AI Expert Certification – covers AI fundamentals and hands-
on projects‌
Coursera, edX, Udacity, Google AI courses‌
Combines theory + practical skills‌
Education & Certifications
iabac.org‌
Skills & Learning Path
Technical Skills:
Python, R, SQL‌
Machine Learning, Deep Learning, Neural
Networks‌
NLP,‌Computer Vision, Generative AI‌
TensorFlow, PyTorch, Scikit-learn‌
Soft Skills
Problem-solving, Critical thinking‌
,
Communication, Teamwork‌
Learning Steps
Programming & Math basics‌
Machine Learning fundamentals‌
Data preprocessing & feature
engineering‌
Deep learning‌
AI specialization‌
Real projects & portfolio‌
iabac.org‌
Career Opportunities & Trends
‌
AI Engineer, ML Engineer, AI Developer,
Data Scientist, AI Consultant‌
Roles
Trends to watch:
Generative AI‌
AutoML‌
AI ethics and responsible AI
AI in marketing and automation‌
Tip: Build projects, create a portfolio, keep
learning‌
iabac.org‌
Thank you
Visit: www.iabac.org
iabac.org‌

How to Become an Artificial Intelligence Expert | IABAC

  • 1.
    How to Becomean AI Expert iabac.org‌
  • 2.
    Builds and workswith AI systems.‌ Job roles:‌AI Engineer, Machine Learning Engineer, AI Developer, Data‌ ‌ Scientist, AI Specialist.‌ Responsibilities:‌ Train and test AI models‌ Analyze large datasets‌ Create practical AI solutions‌ Industries: ‌ Healthcare, Finance, Retail, Marketing, Tech‌ Who is an AI Expert? iabac.org‌
  • 3.
    Degrees: ‌ Computer Science,Data Science, Mathematics, Statistics‌ Certifications‌ IABAC AI Expert Certification – covers AI fundamentals and hands- on projects‌ Coursera, edX, Udacity, Google AI courses‌ Combines theory + practical skills‌ Education & Certifications iabac.org‌
  • 4.
    Skills & LearningPath Technical Skills: Python, R, SQL‌ Machine Learning, Deep Learning, Neural Networks‌ NLP,‌Computer Vision, Generative AI‌ TensorFlow, PyTorch, Scikit-learn‌ Soft Skills Problem-solving, Critical thinking‌ , Communication, Teamwork‌ Learning Steps Programming & Math basics‌ Machine Learning fundamentals‌ Data preprocessing & feature engineering‌ Deep learning‌ AI specialization‌ Real projects & portfolio‌ iabac.org‌
  • 5.
    Career Opportunities &Trends ‌ AI Engineer, ML Engineer, AI Developer, Data Scientist, AI Consultant‌ Roles Trends to watch: Generative AI‌ AutoML‌ AI ethics and responsible AI AI in marketing and automation‌ Tip: Build projects, create a portfolio, keep learning‌ iabac.org‌
  • 6.