Megan V.
Before 365:
Medical scientist | Triumvira Ummonologics
After 365:
Director, Translational Medicine and Data Management | KaliVir Immunotherapeutics
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Online Course
trending topic
free
Intro to AI
with
Ned Krastev
This AI fundamentals course is the perfect introduction to the field. Gain an overall understanding of AI and learn the intuition behind today's state of the art artificial intelligence models
17408 students already have enrolled
Skill level:
Basic
Duration:
2 hours
-
Lessons (2 hours)
- Lessons (2 hours)
CPE credits:
4
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of
professionals must earn to maintain their licenses and stay current with regulations and best
practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's
official website: www.nasbaregistry.org
Accredited:
certificate
What You Learn
- Acquire a clear overview of AI and machine learning fundamentals.
- Explore how AI and machine learning drive business value.
- Understand the intuition behind state‑of‑the‑art AI methods.
- Comprehend the technical tools AI engineers and developers use on the job.
- Identify AI roles and career paths available in the field.
Topics & tools
artificial intelligenceneural networkstransformersmachine learningdeep learningaidata literacytheory
Your instructor
Founder & CEO, 365 Careers | Co-founder, 365 Data Science
Track record
Bringing real-world expertise from leading global companies
Academic background
Master's degree, Finance
Media and recognition
- Named by Forbes Bulgaria among the most successful in online ed
- 1.6M+ students in 210+ countries
- Courses used by employees at 80% of Fortune 500 companies
Course OVERVIEW
Description
CPE Credits: 4
Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
Delivery Method: QAS Self Study
Are you interested in exploring the exciting world of AI and mastering the fundamentals to unlock its full potential?
If that’s the case, you’ve come to the right place!
This Intro to AI course begins with the fundamentals—exploring the core components behind today's cutting-edge AI algorithms. Through this comprehensive journey, you'll establish a strong foundation and gain deep insights into AI's workings and applications in product development. You’ll learn about various AI models and understand how businesses can leverage them effectively.
Moreover, the course offers practical knowledge of AI development and integration into web applications and business products. Discover job opportunities in the rapidly growing AI field and comprehensively understand the essential tools needed for a lucrative career in this high-demand sector. This ideal AI introductory course suits those passionate about the field and eager to explore its potential. It offers valuable insights for business stakeholders and a strong foundation for anyone aiming to start a career in AI.
Few industries will escape disruption from artificial intelligence and its significant technological innovations. Embrace AI to gain a competitive edge and lead your industry with its transformative power.
Our Intro to AI course provides foundational AI knowledge and practical insights to seamlessly integrate AI into your workflow. Join the select group that grasps AI’s career and business opportunities.
What sets this AI course apart from other online offerings?
1. Production Quality
Our dedicated team has invested thousands of hours in crafting an exceptional learning experience. We focus full-time on simplifying complex topics and designing an engaging Intro to AI course you’ll enjoy.
2. Instructor Excellence
Ned Krastev (CEO of 365 Data Science) has educated over 3 million students worldwide. His courses rank among the most popular online, and he has delivered training for Fortune 100 companies.
3. Engaging Animations
Our courses utilize storytelling and high-quality animations to help internalize AI concepts—far surpassing simple PowerPoint presentations. Interactive Exercises
Our platform includes innovative interactive exercises that reinforce the lessons. This approach epitomizes learning by doing—making our Intro to AI course exceptionally practical.
As usual, the course offers a 30-day money-back guarantee and promises to transform your career with coveted AI skills.
Prerequisites
- No experience is required. We'll start from the basics and build your understanding step by step. The course includes everything you need
Advanced preparation
- None
Curriculum
41 lessons
28 exercises
1 exam
- 2. Data is the key ingredient for building AI10 MinData forms the backbone of robust AI models. Explore classifying various data types and distinguishing between structured and unstructured data, as well as labeled and unlabeled data. Relying on metadata is crucial in a world of expanding databases and volumes.
- 3. Key AI techniques19 MinTo grasp AI, we first must understand machine learning and its core subfields: supervised, unsupervised, and reinforcement learning. This foundation prepares us to explore deep learning—a crucial machine learning type inspired by human brain neurons.
- 4. Important AI branches15 MinThis section explores AI’s critical subfields: Robotics, Computer Vision, Traditional ML applications, and Generative AI. Learn about the use cases of each type of AI and the trends expected to shape these areas.
- 5. Understanding Generative AI38 MinGenerative AI—a rapidly growing sub-field—has received the most significant investment since ChatGPT's launch in late 2022. Explore the core principles of Gen AI and the key challenges AI scientists overcame to develop today's sophisticated models. Learn to differentiate between foundation models and LLMs and understand the stages of building an LLM.The rise of Gen AI: Introducing ChatGPT FreeEarly approaches to Natural Language Processing (NLP) FreeRecent NLP advancements FreeFrom Language Models to Large Language Models (LLMs) FreeExercise FreeThe efficiency of LLM training. Supervised vs Semi-supervised learnin FreeFrom N-Grams to RNNs to Transformers: The Evolution of NLP FreePhases in building LLMs FreePrompt engineering vs Fine-tuning vs RAG: Techniques for AI optimization FreeThe importance of foundation models FreeBuy vs Make: foundation models vs private models FreeExercise Free
- 6. Practical challenges in Generative AI9 MinTo harness Gen AI's potential, we must understand its current limitations. This section examines critical challenges AI engineers face—including inconsistency, hallucinations, budgeting, latency, and limited training data.
- 7. The AI tech stack21 Min
- 8. AI job positions13 Min
- 9. Looking ahead11 Min
- 10. Course exam60 Min
Free preview
1.1 Natural vs Artificial Intelligence
2 min
1.2 Brief history of AI
5 min
1.3 Demystifying AI, Data science, Machine learning, and Deep learning
2 min
1.4 Weak vs Strong AI
3 min
$29,000
average salary increase
after moving to an AI and data science career
96%
of our students recommend
365 Data Science.
9 in 10
people walk away career-ready
with practical data and AI skills.
ACCREDITED certificates
Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global
institutions.
Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities
employers value most.
How it WORKS
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