AI 101: Unlock Your First Step Into Becoming an AI Engineer 🚀

Get started with your AI Career even if you have no experience. I'll take you through the exact step-by-step process to become a seasoned AI engineer in this FREE mini-course

Lesson 1 - Introduction to AI & AI Engineering

Understand the foundations of Artificial Intelligence and AI Engineering, exploring key terminologies and concepts to build a strong base for your journey.

  • Gain clarity on what AI is and how it works.

  • Learn essential AI terminologies used in the industry.

  • Build a strong foundation for more advanced AI concepts.

Lesson 2 - AI Engineer vs Data Scientist vs Software Engineer

Discover the differences between AI Engineers, Data Scientists, and Software Engineers to find the best career path for you.

  • Clearly understand the roles and responsibilities of each profession.

  • Identify where your skills and interests align best.

  • Make an informed decision on your AI career path.

Lesson 3 - AI Job Market & Career Paths

Explore the current job market demand for AI Engineers, career opportunities, and salary expectations.

  • Discover high-paying AI career opportunities.

  • Understand the skills employers are looking for.

  • Get insights on how to break into the AI job market.

Lesson 4 - Exploring Different AI Careers

Learn about the various AI specializations, from Computer Vision and NLP to Generative AI and beyond.

  • Discover multiple career paths within AI.

  • Understand the skills required for each specialization.

  • Choose the right AI career path based on your interests.

Lesson 5 - AI Salaries – Is It Worth It?

Get a deep dive into AI salaries, industry compensation trends, and the return on investment in AI learning.

  • Understand salary expectations in AI careers.

  • Learn how AI expertise can increase your earning potential.

  • See why AI is one of the highest-paying tech fields.

Lesson 6 - A Day in the Life of an AI Engineer

Step into the shoes of an AI Engineer and see what their daily responsibilities, challenges, and projects look like.

  • Get a realistic view of the AI engineering profession.

  • Learn about daily tools, tasks, and workflows.

  • Gain confidence in what to expect from an AI career.

Lesson 7 - Introduction to Python for AI

Start learning Python, the most important programming language for AI, along with essential frameworks and libraries.

  • Learn the basics of Python programming for AI.

  • Understand key AI frameworks and tools.

  • Build a solid programming foundation for AI development.

Lesson 8 - AI Job Skills Breakdown (Real Job Listings!)

Analyze real-world AI job postings to see what employers are looking for and how our course prepares you for them.

  • Understand in-demand AI skills from real job descriptions.

  • See how the course aligns with industry needs.

  • Gain insights on how to tailor your learning for job readiness.

Lesson 9 - Inside the AI Training Program

Take a tour inside the AI training program, exploring courses, live sessions, community support, and continuous learning opportunities.

  • Know exactly what’s included in the training.

  • Learn how to navigate the course, resources, and community.

  • Get access to expert support and ongoing mentorship.

Lesson 10 - Machine Learning Basics & Hands-On Labs

Dive into the fundamentals of supervised and unsupervised learning with hands-on AI coding exercises.

  • Learn key machine learning concepts with practical examples.

  • Develop hands-on AI coding skills.

  • Get a head start in AI model development.

Lesson 11 - Monthly Meetings & Live AI Discussions

Join monthly live sessions where we discuss AI trends, hands-on coding, and real-world applications.

  • Stay updated with the latest AI advancements.

  • Participate in interactive, expert-led discussions.

  • Continuously improve your AI skills with live feedback.

Lesson 1 - Introduction to AI & AI Engineering

Understand the foundations of Artificial Intelligence and AI Engineering, exploring key terminologies and concepts to build a strong base for your journey.

  • Gain clarity on what AI is and how it works.

  • Learn essential AI terminologies used in the industry.

  • Build a strong foundation for more advanced AI concepts.

Lesson 2 - AI Engineer vs Data Scientist vs Software Engineer

Discover the differences between AI Engineers, Data Scientists, and Software Engineers to find the best career path for you.

  • Clearly understand the roles and responsibilities of each profession.

  • Identify where your skills and interests align best.

  • Make an informed decision on your AI career path.

Lesson 3 - AI Job Market & Career Paths

Explore the current job market demand for AI Engineers, career opportunities, and salary expectations.

  • Discover high-paying AI career opportunities.

  • Understand the skills employers are looking for.

  • Get insights on how to break into the AI job market.

Lesson 4 - Exploring Different AI Careers

Learn about the various AI specializations, from Computer Vision and NLP to Generative AI and beyond.

  • Discover multiple career paths within AI.

  • Understand the skills required for each specialization.

  • Choose the right AI career path based on your interests.

Lesson 5 - AI Salaries – Is It Worth It?

Get a deep dive into AI salaries, industry compensation trends, and the return on investment in AI learning.

  • Understand salary expectations in AI careers.

  • Learn how AI expertise can increase your earning potential.

  • See why AI is one of the highest-paying tech fields.

Lesson 6 - A Day in the Life of an AI Engineer

Step into the shoes of an AI Engineer and see what their daily responsibilities, challenges, and projects look like.

  • Get a realistic view of the AI engineering profession.

  • Learn about daily tools, tasks, and workflows.

  • Gain confidence in what to expect from an AI career.

Lesson 7 - Introduction to Python for AI

Start learning Python, the most important programming language for AI, along with essential frameworks and libraries.

  • Learn the basics of Python programming for AI.

  • Understand key AI frameworks and tools.

  • Build a solid programming foundation for AI development.

Lesson 8 - AI Job Skills Breakdown (Real Job Listings!)

Analyze real-world AI job postings to see what employers are looking for and how our course prepares you for them.

  • Understand in-demand AI skills from real job descriptions.

  • See how the course aligns with industry needs.

  • Gain insights on how to tailor your learning for job readiness.

Lesson 9 - Inside the AI Training Program

Take a tour inside the AI training program, exploring courses, live sessions, community support, and continuous learning opportunities.

  • Know exactly what’s included in the training.

  • Learn how to navigate the course, resources, and community.

  • Get access to expert support and ongoing mentorship.

Lesson 10 - Machine Learning Basics & Hands-On Labs

Dive into the fundamentals of supervised and unsupervised learning with hands-on AI coding exercises.

  • Learn key machine learning concepts with practical examples.

  • Develop hands-on AI coding skills.

  • Get a head start in AI model development.

Lesson 11 - Monthly Meetings & Live AI Discussions

Join monthly live sessions where we discuss AI trends, hands-on coding, and real-world applications.

  • Stay updated with the latest AI advancements.

  • Participate in interactive, expert-led discussions.

  • Continuously improve your AI skills with live feedback.

TESTIMONIALS

About Who's Giving This

THIS MINI-COURSE!

Lara Wehbe, Founder of Fakker.ai and creator of The AI Engineers Training Program, has been in the AI space for over five years. She started as a self taught AI engineer, navigating the industry without a formal AI degree, and landed her first AI job in just six months by building hands-on projects.

She went on to develop AI solutions that power businesses and founded Fakker.ai to help companies leverage cutting-edge AI agents. Through The AI Engineers Training Program, she has helped hundreds of aspiring AI engineers master the field, fast-tracking their careers with structured learning and real-world applications.