Description
Explore how AI evolved, and where it’s headed next.
Take a guided tour through the past, present, and future of artificial intelligence in Journey Through AI—a narrative-rich, insight-packed course designed to give learners a comprehensive understanding of how AI emerged, why it’s accelerating now, and where it’s likely headed.
This course breaks down key milestones across AI research, philosophy, ethics, and application. You’ll examine how we moved from symbolic logic to neural networks, from rule-based systems to transformers and what’s next in areas like artificial general intelligence (AGI), multimodal models, and AI-human collaboration. Whether you’re an executive, student, or practitioner, this course provides the historical context and future lens you need to lead, adopt, or build with AI responsibly. In completion of this program you are partially through the Certified AI Prompt Engineer program covering some of the topics related to the Web3 Certification Board (W3CB) AI Core+ Certification.
Prerequisites
- None required
- No technical background necessary
Target Audience
- Curious professionals new to AI
- Higher education faculty and administrators
- Students or career changers entering the AI field
- Business leaders exploring AI strategy
- Anyone seeking clarity on what AI really is
Learning Objectives
By the end of this course, learners will:
- Understand the historical origins of artificial intelligence
- Identify the key researchers, movements, and turning points in AI
- Recognize the limitations, risks, and societal challenges of AI
- Analyze current trends like LLMs, generative models, and AGI
- Build a shared vocabulary around core AI concepts
- Begin thinking critically about AI’s role in shaping the future
Course Modules Breakdown
1: Defining Intelligence
- Human vs. machine thinking
- Symbolic logic and the roots of AI
2: Early AI Milestones
- The Turing Test, ELIZA, and expert systems
- AI winters and why progress stalled
3: Neural Networks and Deep Learning
- From perceptrons to convolutional networks
- Key breakthroughs in modern AI
4: The Rise of Language Models
- GPT, BERT, and transformer architecture
- Why generative AI changed the game
5: AGI and Human Futures
- The pursuit of general intelligence
- AI alignment, safety, and governance debates
6: Ethical Frontiers
- AI bias, surveillance, and regulation
- Who decides what AI should be allowed to do?
Job Titles This Course Supports
- While this course is foundational, it strengthens understanding for roles such as:
- AI Strategy Analyst
- Policy & Ethics Advisor
- Emerging Tech Educator
- Responsible Innovation Lead
- AI Communications or Community Manager
- Digital Transformation Assistant
Income Expectations
Since this course supports entry into the AI field or complements leadership roles, income expectations vary by context:
- AI Strategy or Ethics Roles: $95,000–$130,000/year
- Innovation & Transformation Advisors: $105,000–$145,000/year
- Educators / Trainers (Corporate or Higher Ed): $70,000–$115,000/year
- Source: Glassdoor, Lightcast, ZipRecruiter, and Payscale
