Generative Ai: From Transformers To Autonomous Agents
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 689.20 MB
| Duration: 2h 1m
Navigate the shift from chatbots to proactive agents, covering video generation, robotics, and AI compliance
What you'll learn
Contrast the capabilities of early reactive chatbots with modern, proactive Agentic AI workflows and autonomous execution loops.
Analyze the technical architecture of Generative AI, including Transformers, Diffusion Models, and Next-Token Prediction mechanisms.
Evaluate the distinct strengths and enterprise use cases for frontier models such as Gemini, GPT, and Claude.
Explain the concept of Native Multimodality and how large Context Windows enable the processing of massive enterprise datasets.
Interpret critical ethical considerations, including algorithmic bias, the EU AI Act, and strategies for mitigating Shadow AI risks.
Identify the business impact of AI in creative media, healthcare diagnostics, and hyper-personalized marketing at scale.
Apply the "Centaur" approach to human-AI collaboration, focusing on the shift from task execution to agent orchestration.
Assess the future trajectory of AI, including the path to AGI, embodied intelligence in robotics, and the requirements for Sovereign AI.
Requirements
No programming experience is required; this course focuses on concepts, strategy, and application.
A basic understanding of business processes and general digital literacy is recommended.
An open mindset regarding the rapid evolution of technology and workplace dynamics.
Description
"This course contains the use of artificial intelligence."As the global economy transitions toward 2026, Generative AI has evolved from a novelty technology into the fundamental operating system of modern business. The era of simple chatbot interactions is rapidly giving way to Agentic AI-systems capable of reasoning, planning, and executing complex workflows autonomously. This course provides a rigorous, forward-looking examination of this technological shift, designed for professionals, business leaders, and forward-thinking learners who require a structural understanding of the next phase of artificial intelligence.We move beyond basic prompt engineering to explore the underlying architectures and strategic applications that drive value. The curriculum begins by contrasting early reactive models with modern proactive agents, analyzing how businesses are shifting from generating isolated content to managing end-to-end autonomous processes. You will examine the technical foundations of these systems, including the Transformer architecture, the mechanics of Latent Space, and the critical role of Context Windows in enterprise data analysis.A significant portion of the course is dedicated to the "Big 3" frontier models, Gemini, GPT, and Claude, and the emergence of "System 2" deep reasoning capabilities. Learners will explore how these models are integrating native multimodality to process text, audio, and video simultaneously, effectively solving the "brain" problem for robotics and physical automation.Beyond theory, we analyze high-impact applications across key sectors. This includes the democratization of high-fidelity media creation through tools like Sora, the revolution in healthcare via protein folding and synthetic data, and the rise of hyper-personalization in enterprise marketing. The course also addresses the critical "Centaur" model of human-AI collaboration, preparing you for a hybrid workforce where orchestration skills replace rote execution.Finally, we address the governance landscape essential for safe deployment. You will study the implications of the EU AI Act, the necessity of Sovereign AI for data privacy, and the Zero Trust frameworks required to combat deepfakes and misinformation. By the end of this course, you will possess the vocabulary, technical context, and strategic foresight necessary to navigate the AI readiness gap and lead in an automated economy.
Business leaders and executives seeking to understand the strategic implications of Agentic AI.,Product managers and solution architects looking to integrate Generative AI into enterprise workflows.,Professionals across all industries aiming to reskill for the hybrid human-AI workforce of 2026.,Consultants and analysts requiring a deep understanding of AI governance, ethics, and compliance.
