Business100% OFF

Senior Executive Program: AI, Robotics, and Systems

Udemy Instructor

0(4.7K students)

Self-paced

All Levels

About this course

This course contains the use of artificial intelligence(AI). The Senior Executive Program for Technology Leaders: AI, Robotics, and Systems is a transformative one-year leadership journey designed for forward-thinking executives who seek to lead the future of intelligent enterprises. Built at the intersection of artificial intelligence (AI), robotics, and complex systems innovation, this program empowers senior leaders to architect digital transformation strategies that drive sustainable growth, resilience, and competitive advantage in a rapidly evolving technological landscape.

Across 52 immersive weeks, participants explore the full spectrum of emerging technologies shaping the Fourth Industrial Revolution — from machine learning, deep learning, and generative AI, to industrial robotics, Internet of Things (IoT), digital twins, and quantum computing. Each module blends strategic foresight, hands-on labs, and executive-level application, ensuring that learners not only understand the technologies but can translate them into business impact. The curriculum begins with Technology Leadership in the Age of Intelligence, helping participants build a clear vision and innovation culture aligned with enterprise strategy.

As they progress, they master AI foundations, data governance, robotics systems, and automation maturity models, developing the ability to assess readiness, manage risk, and lead multidisciplinary teams across global organizations. Executives engage with systems thinking, exploring cyber-physical systems, feedback loops, and systems integration — critical skills for managing interdependencies across AI, robotics, and IoT ecosystems. The program delves deeply into intelligent automation, cognitive agents, and AI-driven decision systems, empowering leaders to harness MLOps, cloud infrastructure, and edge computing for enterprise scalability.

Through specialized labs, learners design AI-enabled workflows using platforms like ChatGPT, IBM watsonx, and NVIDIA Jetson, bridging strategy with technical fluency. Later modules extend into human-robot collaboration, ethics, responsible AI, and regulatory frameworks, equipping participants to govern innovation with accountability and transparency. Beyond technology, the program emphasizes strategic foresight, innovation leadership, and corporate entrepreneurship.

Executives explore AI in business strategy, supply chain resilience, energy systems, national competitiveness, and tech diplomacy, preparing them to operate effectively in complex global ecosystems. A dedicated focus on cybersecurity, bias mitigation, and sustainable AI ensures graduates lead responsibly in data-driven enterprises. The capstone project allows participants to synthesize learning by crafting an integrated AI-Robotics-Systems strategy for their organization — supported by peer feedback and executive panel evaluation.

By graduation, leaders will have developed not only a strategic technology roadmap but also the executive communication, influence, and decision intelligence needed to drive large-scale transformation initiatives. Whether you’re a Chief Technology Officer (CTO), Chief Digital Officer (CDO), or innovation-driven senior executive, this program will enable you to align emerging technologies with business value, build resilient organizations, and lead confidently in the era of intelligent systems. Through a balance of visionary theory, real-world case studies, and immersive labs, the Senior Executive Program for Technology Leaders equips you to become the architect of your enterprise’s AI-powered future.

Keywords: AI, robotics, systems thinking, intelligent enterprises, digital transformation, machine learning, deep learning, generative AI, IoT, quantum computing, MLOps, cloud infrastructure, automation, governance, data strategy, cyber-physical systems, foresight, leadership, innovation, decision intelligence, sustainable AI, enterprise strategy, executive education.

Skills you'll gain

OperationsEnglish

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

$0$70.99

Save $70.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/senior-executive-program-ai-robotics-and-systems

Build AI applications that are not only powerful, but secure by design.In this hands-on AI Security Masterclass, you will learn how to build, attack, and secure modern applications powered by Large Language Models (LLMs). Using Python and Ollama, you will create a complete AI assistant and progressively add chat, Retrieval-Augmented Generation (RAG), tool calling, persistent memory, autonomous agents, and production security controls.You will begin by building a local AI chat assistant and exploring why LLM security differs from traditional application security. You will then launch realistic prompt injection attacks, attempt to expose hidden instructions, test role-playing and multi-turn jailbreaks, and experiment with encoded prompt manipulation techniques.Next, you will build a document-based RAG application capable of answering questions from PDFs. You will see how malicious documents can introduce indirect prompt injection, poison retrieved context, manipulate answers, and undermine trusted knowledge. You will secure the RAG pipeline using source validation, context isolation, sanitization, and enforcement controls.The course then moves beyond chatbot responses into real application actions. You will build a tool-calling AI assistant with weather, calculator, and email tools. You will test parameter injection and unauthorized tool execution before implementing input validation, least-privilege permissions, destination restrictions, and human-in-the-loop approval for sensitive actions.You will also add persistent AI memory and learn how attackers can poison stored information to manipulate future conversations. You will protect memory using validation, approval workflows, risk scoring, and safe storage policies.As the assistant becomes more autonomous, you will build an AI agent capable of planning tasks, selecting tools, and executing multi-step workflows. You will then attempt to compromise its decisions and secure it with permissions, policy enforcement, approval gates, and constrained execution.By the end of the course, you will combine every defense into a reusable AI Security Gateway that includes:Prompt injection detectionJailbreak filtering and risk scoringRAG security and context sanitizationTool authorization and parameter validationMemory poisoning protectionAgent security controlsHuman approval workflowsOutput validation and audit loggingFinally, you will package and run the complete secure AI assistant using Docker and connect it to local models through Ollama.This course is ideal for Python developers, Generative AI engineers, RAG developers, AI agent builders, software engineers, and technical professionals who want practical experience securing real LLM applications.You will not simply study AI attacks. You will build vulnerable features, exploit them, implement defenses, and verify that those defenses work.Build it. Attack it. Secure it.

AI Governance and Security

Udemy Instructor

This course contains the use of artificial intelligence.AI Governance and Security is a practical course designed to help professionals understand how to manage the risks, security concerns, privacy obligations, and oversight requirements associated with artificial intelligence. As organizations adopt generative AI, large language models, AI assistants, and autonomous agents, strong governance is essential for protecting data, maintaining compliance, and ensuring responsible use.The course begins with the foundations of AI governance. You will explore common AI risk categories, including security, privacy, operational, ethical, legal, financial, and reputational risks. You will learn how policies, controls, accountability structures, and oversight committees help organizations manage AI consistently. You will also examine how responsibilities can be shared across business, technology, security, legal, compliance, and risk teams.The security section focuses on important AI security risks. You will learn how sensitive information may be exposed through prompts, model responses, connected tools, logs, training data, and external integrations. The course explains prompt injection, indirect prompt injection, model abuse, unauthorized tool use, and other threats that can affect generative AI applications and AI agents. You will also learn why permissions, isolation, validation, and human approval are important when AI systems can take actions.The course then addresses AI compliance and privacy. You will explore regulatory considerations, responsible data handling, consent, access, retention, documentation, and audit readiness. You will learn how organizations can identify sensitive information, limit unnecessary data exposure, and maintain evidence showing how AI systems are designed, reviewed, approved, and monitored.In the enterprise-controls section, you will examine role-based access control, permissions, logging, monitoring, approvals, exception handling, and incident response. These controls help organizations understand who used an AI system, what data was accessed, what actions were taken, and whether established policies were followed. You will also learn how approval workflows can be designed for higher-risk use cases.The final section focuses on responsible AI deployment. You will learn how to conduct AI risk assessments, define human review requirements, document decisions, manage exceptions, and build a repeatable governance operating model. The course emphasizes balancing innovation with safety rather than treating governance as a barrier to progress.By the end of AI Governance and Security, you will understand how to evaluate AI risks, protect sensitive data, improve security, support compliance, and create practical enterprise controls. You will be prepared to contribute to governance programs involving responsible AI, AI risk management, AI security, data privacy, regulatory compliance, and enterprise AI governance.This course is ideal for executives, managers, architects, developers, security professionals, risk teams, auditors, privacy specialists, legal professionals, consultants, and anyone responsible for deploying AI safely and responsibly.

Supply Chain & Operations: Master Mock Exams

Udemy Instructor

The global economy runs on supply chains. If a single microchip supplier is delayed or a shipping route is disrupted, multi-crore production lines grind to a halt. Companies desperately need leaders who understand how to mitigate these risks. Passing an interview for an Operations Manager role, or earning an elite APICS certification, requires you to know how to calculate safety stock, negotiate massive procurement contracts, and streamline manufacturing lines. The Supply Chain & Operations: Master Mock Exams course is the ultimate testing ground to prove you have what it takes.This course abandons basic textbook trivia and throws you directly into the shoes of a Global Supply Chain Director. Across four massive sets of rigorous, scenario-based case studies, you will face completely unique engineering and logistical challenges. First, you will tackle Lean Six Sigma, determining how to use Poka-Yoke and Control Charts to eliminate defects. Next, you will dive into Logistics & Transportation, testing your ability to manage massive cross-docking facilities and Last-Mile delivery algorithms.But moving goods is only half the battle. The third section rigorously tests your Corporate Procurement skills, challenging your understanding of Dual Sourcing strategies and Economic Order Quantity (EOQ). Finally, we cover the factory floor with Inventory & Production Planning. You will be tested on Just-In-Time (JIT) manufacturing, the Theory of Constraints, and mitigating the Bullwhip Effect. Every single question features a detailed explanation so you truly learn how to optimize an enterprise supply chain.Basic Info:Course locale: English (India)Course instructional level: Intermediate LevelCourse category: BusinessCourse subcategory: Operations

0.0•382•Self-paced

FREE$84.99

Enroll

Senior Executive Program: AI, Robotics, and Systems

About this course

Skills you'll gain

Available Coupons