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Generative AI: From Transformers to Autonomous Agents

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0(790 students)

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All Levels

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“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.

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“This course contains the use of artificial intelligence”The demand for skilled AI Engineers is growing faster than ever as organizations race to integrate Artificial Intelligence, Large Language Models (LLMs), and AI-powered automation into their products and workflows. However, many professionals struggle to understand how modern AI systems are actually built and deployed in real-world applications. This intensive course, “Become an AI Engineer in Just 3 Days,” is designed to bridge that gap by teaching the practical skills required to design, build, and deploy modern AI applications.In this hands-on program, you will learn the core foundations of AI Engineering, focusing on the technologies that power today’s most advanced systems. Instead of spending weeks studying theory, you will build real applications using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI agents. By the end of the course, you will understand how to architect intelligent systems that combine models, data, and tools into scalable applications.The course begins with the fundamentals of LLM architecture, where you will learn how modern AI models work, how tokens and context windows influence model behavior, and how to design effective prompts that guide AI systems to produce reliable outputs. You will also learn how to interact with models using LLM APIs, allowing you to integrate AI capabilities directly into software applications.Next, you will move into one of the most important techniques used in production AI systems: Retrieval Augmented Generation (RAG). You will learn how to build systems that connect language models with external knowledge sources using embeddings, vector databases, and document retrieval pipelines. Through practical exercises, you will create a document chat system capable of answering questions using information from custom datasets. This is the same architecture used in many enterprise AI applications.The course then explores the rapidly growing field of AI agents. You will learn how to design systems that go beyond simple prompts and instead perform multi-step workflows, tool usage, and task planning. Using modern agent frameworks, you will build autonomous systems that can gather information, execute actions, and generate structured outputs. These capabilities represent the next evolution of intelligent applications.Finally, the course focuses on AI deployment and production engineering. You will learn how to deploy AI systems using FastAPI backends, create API endpoints, and expose your AI application as a scalable service. You will also explore essential topics such as guardrails, logging, monitoring, and cost optimization, which are critical for operating AI systems in production environments.Throughout the program, you will complete hands-on projects that reinforce each concept and help you build a portfolio-ready application. By the end of the three days, you will have built and deployed a production-ready AI application that combines LLMs, RAG pipelines, and AI agent workflows.Whether you are a software engineer, data scientist, product builder, or technology leader, this course will equip you with the practical knowledge needed to start building real AI systems today. Instead of just learning about AI, you will gain the skills required to design, build, and deploy intelligent applications that can power the next generation of digital products.

Cybersecurity Fundamentals: Protecting Systems, Data & Users

Udemy Instructor

“This course contains the use of artificial intelligence”In today's connected world, cybersecurity is no longer just an IT responsibility—it's an essential skill for everyone. Every day, individuals and organizations face cyber threats ranging from phishing emails and ransomware attacks to data breaches, identity theft, and sophisticated network intrusions. Whether you're protecting your personal devices, supporting your organization, or preparing for a career in technology, understanding cybersecurity fundamentals is more important than ever. This course provides a practical, beginner-friendly introduction to the core concepts, technologies, and best practices used by security professionals to defend modern digital environments.Throughout this course, you'll build a strong understanding of the modern cyber threat landscape and learn how attackers exploit vulnerabilities in computers, networks, applications, cloud environments, and human behavior. You'll explore common threats including malware, ransomware, social engineering, phishing, and insider threats, while learning how organizations detect, prevent, and respond to these attacks. Rather than simply memorizing definitions, you'll gain practical knowledge of how cyber attacks occur and the defensive strategies used to stop them.You'll then move into the core technologies that keep organizations secure. Learn the fundamentals of network security, including firewalls, Virtual Private Networks (VPNs), network segmentation, secure Wi-Fi, and intrusion detection systems. Discover how operating systems and endpoints can be protected through system hardening, secure configurations, software updates, endpoint protection, and security best practices that significantly reduce risk.Identity is one of the most valuable assets in cybersecurity, and you'll develop a solid understanding of Identity and Access Management (IAM). You'll learn how authentication, authorization, Multi-Factor Authentication (MFA), password security, and the Principle of Least Privilege work together to protect users and organizational resources. These concepts form the foundation of nearly every modern cybersecurity program and are essential skills for both personal and enterprise security.Protecting sensitive information is another major focus of this course. You'll learn how organizations safeguard data using encryption, data classification, secure backups, Data Loss Prevention (DLP) strategies, and privacy best practices. You'll understand how data moves through systems, where risks exist, and how security controls help maintain confidentiality, integrity, and availability—the three pillars of information security.As businesses continue moving their infrastructure to the cloud, cybersecurity professionals must understand how to secure cloud environments. In this course, you'll explore the Shared Responsibility Model, cloud identity management, secure cloud storage, cloud security risks, and practical techniques for protecting cloud resources. You'll also learn the fundamentals of application security, including secure software development, API security, dependency management, and common web vulnerabilities that every technology professional should recognize.Security is not only about prevention—it's also about responding effectively when incidents occur. You'll gain an understanding of security monitoring, security logging, threat detection, and the complete Incident Response Lifecycle, including preparation, identification, containment, eradication, recovery, and lessons learned. These skills provide valuable insight into how security teams investigate and respond to real-world cyber incidents.One of the highlights of this course is its strong emphasis on hands-on learning. Instead of relying solely on theory, you'll complete practical projects that reinforce every major concept. You'll learn how to identify phishing emails and social engineering attempts, configure strong passwords and Multi-Factor Authentication, secure Windows or macOS systems using cybersecurity best practices, protect cloud storage with proper access controls, perform a basic security assessment of a small business environment, and create a comprehensive personal cybersecurity checklist for both home and professional use.Whether you're a complete beginner, an IT professional looking to strengthen your security knowledge, a student preparing for a cybersecurity career, or a business professional wanting to better protect your organization, this course provides a comprehensive foundation that you can immediately apply. The concepts taught throughout the course align with industry best practices and serve as an excellent stepping stone toward more advanced cybersecurity topics such as ethical hacking, penetration testing, cloud security, security operations (SOC), and incident response.By the end of this course, you'll have the confidence to recognize cyber threats, understand how modern security technologies work, implement practical defensive measures, and adopt a security-first mindset that helps protect systems, networks, cloud services, applications, data, and users in today's rapidly evolving digital world.

TensorFlow Course: Basic to Advanced Neural Network & Beyond

Udemy Instructor

This comprehensive course will take you on a journey from the foundational concepts of machine learning and TensorFlow to the creation of advanced, real world deep learning models. I'll start with the basics, giving you a solid understanding of how neural networks work, and progressively build up your skills to tackle complex problems in computer vision, natural language processing (NLP), and more. Through a series of hands-on labs, projects, and practical examples, you'll learn to not only build and train models but also to understand the "why" behind the code, enabling you to confidently solve new and challenging problems.This course is designed for anyone with a basic understanding of Python programming who wants to build a career in machine learning and artificial intelligence. Whether you're a student, a software developer, or a data analyst, this course will provide you with the practical skills and foundational knowledge to become a proficient TensorFlow practitioner.Why Take This Course?Artificial Intelligence is transforming industries worldwide, and deep learning lies at its core. TensorFlow, developed by Google, has become the industry standard library for building and deploying AI applications at scale. This course provides a step by step learning journey, blending theory with hands-on coding so you not only understand concepts but can also implement them in real world projects.By the end of this course, you’ll have the knowledge and confidence to:Understand the foundations of deep learning and TensorFlow.Build simple and complex neural networks from scratch.Train, evaluate, and optimize models using modern techniques.Work with Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and advanced architectures.Deploy machine learning models in real-world scenarios.What You’ll Learn:Master TensorFlow: From fundamentals to advanced deployment.Think Like a Deep Learning Engineer: Understand the “why” behind each step.Future Proof Skills: Learn architectures powering GPT, BERT, and other state of the art systems.Career Boost: Gain skills highly sought after in AI, ML, and data science industries.Hands-On Confidence: Not just theory—every concept is practiced with real datasets and code.No prior knowledge of machine learning or deep learning is required. A basic understanding of Python programming is recommended.Why This Course Stands OutComprehensive Curriculum: Covers both fundamentals and advanced topics.Practical Focus: Hands-on coding and real-world projects ensure you learn by doing.Step by Step Guidance: Concepts explained in simple, intuitive language.Future Proof Skills: Covers emerging areas like transformers and model deployment.By the End of the Course, You Will Be Able To:Confidently use TensorFlow for deep learning projects.Build and train different types of neural networks.Apply deep learning techniques to images, text, and sequential data.Experiment with cutting edge models like GANs and Transformers.Deploy and scale models for real world applications.Are you ready to become a TensorFlow expert and build the future with AI?Join today and start your journey from basic to advanced neural networks— and beyond!

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Generative AI: From Transformers to Autonomous Agents

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Generative AI: From Transformers to Autonomous Agents

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

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3-Day AI Engineering Bootcamp - Become an AI Engineer

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