BERKELEY SCHOOL OF BUSINESS, ARTS & SCIENCES

Overview

The Agentic AI program develops practical skills to design, deploy, and manage autonomous AI agents for business applications. Participants learn autonomous decision-making, prompt engineering, workflow automation, tool integration, memory and context, RAG, multi-agent systems, and AI governance. Through practical projects and case studies, learners gain the expertise to build secure, scalable AI solutions that improve productivity and business efficiency.

Agentic AI Capability	Practical Application
Autonomous Decision-Making	Enables agents to reason, plan, and execute tasks independently.
Prompt Engineering	Improves AI outputs through effective prompt design.
Workflow Automation	Automates business processes and repetitive tasks.
Tool Integration	Connects AI agents with APIs, databases, and enterprise systems.
Memory & Context	Maintains context for intelligent task execution.
Multi-Agent Collaboration	Coordinates multiple agents to solve complex problems.
AI Governance	Supports secure, ethical, and compliant AI deployment.
Enterprise Applications	Applies AI to operations, customer service, analytics, and automation.

Offered By

Berkeley School of Business, Arts & Sciences

Vision & Mission

Our vision is to empower professionals and organizations to leverage Agentic AI for intelligent automation, innovation, and sustainable transformation. Our mission is to provide practical training in designing, implementing, and managing autonomous AI agents responsibly to improve decision-making, productivity, and operational efficiency.

What is the eligibility?

A high school qualification, diploma, bachelor’s degree, or equivalent professional experience is recommended.
No prior Agentic AI experience is required.
Basic computer literacy and familiarity with AI or business technology concepts are beneficial.
Suitable for business and IT professionals, software developers, data analysts, AI practitioners, managers, entrepreneurs, and consultants.

Who can do?

anyone who is interested to learn about following concepts can pursue Agentic AI:

Agentic AI, Autonomous AI, AI Agents, Prompt Engineering, Multi-Agent Systems, Intelligent Automation, Enterprise AI, AI Orchestration, AI Governance, Workflow Automation.

individuals with the following designations:

AI Engineer, AI Developer, Software Developer, Data Scientist, Machine Learning Engineer, Solutions Architect, IT Manager, Digital Transformation Manager, Product Manager, Business Analyst, Technology Consultant, Innovation Manager, CTO, CIO, Project Manager, Operations Manager, Entrepreneur, Business Owner, Researcher, AI Consultant.

Course Structure

Module 1: Introduction to Agentic AI and Autonomous Systems

This module introduces the fundamentals of Agentic AI, autonomous agents, and intelligent decision-making systems. Participants explore the evolution of AI agents, their architectures, capabilities, business applications, and the role they play in enterprise automation and digital transformation.

Fundamentals of Agentic AI

Autonomous AI Agents

Evolution of Intelligent Systems

Business Applications of Agentic AI

Module 2: AI Agents, Reasoning and Decision-Making

This module focuses on how AI agents reason, plan, make decisions, and execute tasks autonomously. Participants learn the principles of intelligent reasoning, planning algorithms, and adaptive decision-making in dynamic business environments.

AI Reasoning Models

Planning and Decision Processes

Autonomous Task Execution

Intelligent Problem Solving

Module 3: Prompt Engineering and Agent Design

Participants learn advanced prompt engineering techniques and the principles of designing effective AI agents. The module explores agent instructions, tool usage, memory handling, and interaction strategies for reliable AI performance.

Advanced Prompt Engineering

Tool Integration

Context Management

Module 4: Memory, Context and Retrieval-Augmented Generation (RAG)

This module explores how AI agents retain context, retrieve external knowledge, and generate accurate responses using Retrieval-Augmented Generation (RAG). Learners understand memory systems and knowledge integration techniques.

Agent Memory Systems

Context Management

Retrieval-Augmented Generation (RAG)

Knowledge Integration

Module 5: Multi-Agent Systems and Collaboration

Participants examine collaborative AI environments where multiple agents communicate, coordinate, and complete complex workflows. The module covers orchestration strategies and distributed problem-solving.

Multi-Agent Architecture

Agent Collaboration

Distributed Intelligence

Module 6: AI Workflow Automation and Business Process Orchestration

This module explores how Agentic AI automates business workflows, coordinates complex processes, and integrates intelligent agents into enterprise operations. Participants learn how autonomous agents improve productivity, reduce manual effort, and streamline decision-making across business functions.

Workflow Automation

Business Process Orchestration

Intelligent Task Management

Module 6: AI Workflow Automation and Business Process Orchestration

This module explores how Agentic AI automates business workflows, coordinates complex processes, and integrates intelligent agents into enterprise operations. Participants learn how autonomous agents improve productivity, reduce manual effort, and streamline decision-making across business functions.

Workflow Automation

Business Process Orchestration

Intelligent Task Management

Enterprise Productivity

Module 7: Enterprise AI Integration and External Tools

Participants learn how Agentic AI connects with enterprise applications, APIs, databases, and cloud services to build scalable intelligent solutions. The module focuses on system integration, interoperability, and secure deployment.

API Integration

Enterprise Systems

External AI Tools

Cloud-Based AI Solutions

Module 8: AI Governance, Ethics, Security and Risk Management

This module examines responsible AI practices, governance frameworks, cybersecurity considerations, privacy regulations, and risk management strategies for deploying autonomous AI systems in organizations.

Responsible AI

AI Governance

Privacy and Security

Risk Management

Module 9: Deploying and Managing Agentic AI Solutions

This module covers the deployment, monitoring, optimization, and lifecycle management of Agentic AI systems. Participants learn best practices for maintaining reliable, scalable, and high-performing AI agents in enterprise environments.

AI Deployment Strategies

Performance Monitoring

Agent Optimization

Lifecycle Management

Module 10: Capstone Project: Building an Enterprise AI Agent

The final module enables participants to apply their knowledge by designing, developing, and presenting an enterprise-ready Agentic AI solution. Through a practical capstone project, learners demonstrate proficiency in autonomous AI design, workflow automation, governance, and business implementation.

AI Solution Design

Enterprise Implementation

Capstone Project Development

Final Presentation and Assessment

Learning Methodology

Berkeley offers expertly developed learning materials tailored to meet participants' needs, ensuring comprehensive coverage of the syllabus and optimal exam preparation.

‣ Tailored Material: Guides are designed to cover the entire syllabus, offering full preparation and deep understanding.
‣ In-Depth Content: Unlike superficial outlines, our materials provide fully developed theories and concepts, equipping participants with complete knowledge.
‣ Strategic Study: We help participants prioritize study time by indicating the weight of each topic, allowing efficient focus on crucial areas.
‣ Difficulty Levels: Topics are labeled as "Awareness" or "Proficiency," guiding participants to allocate time based on the required depth of knowledge.
‣ Comprehensive Coverage: Our materials include detailed theory and a glossary of technical terms to clarify complex concepts.
‣ Effective Learning Techniques: Visual aids and memorization techniques ensure long-lasting retention, helping candidates succeed.

Berkeley’s methodologies equip participants with the essential knowledge and tools for both exams and future success.

Lectures

Our lecture plan integrates structured learning with interactive teaching methods, promoting engagement and collaboration. In addition, this approach ensures a comprehensive understanding of concepts, fostering critical thinking and practical application in real-world scenarios

Practice Session

Practice sessions offer hands-on experience through guided exercises, enhancing skills and reinforcing knowledge. Moreover, this practical approach ensures mastery of concepts, promoting confidence and competence in real-world applications

Mock Examination

Mock examinations of simulate real test conditions, providing valuable practice and assessment. In addition, this helps identify strengths and weaknesses, ensuring thorough preparation and boosting confidence for actual exams

Berkeley's Performance Standards

Evaluates and ensure the quality of the training program and all its deliverables. This is measured through the following indicators:
‣ Instructors' experience and style in presenting and explaining topics.
‣ Variety and balance of teaching methods (such as discussions, case studies, mock exams and videos) used in the course to ensure retention and to match the learning objectives.
‣ Level of interactivity.
‣ Feedback from program participants
‣ Full compliance with Institute standards and guidelines for preparation and study requirements and methodology.
‣ Progress reports from the training program provider.

Success Stories

“As a strong advocate for education and human development, I commend Berkeley for its exceptional commitment to empowering future leaders. The institution stands as a symbol of excellence, innovation, and opportunity. Students who walk its halls are nurtured with knowledge, values, and vision—qualities that contribute to building a stronger and more prosperous future for our nation.”- H.H. Shaikh Khalifa Al Hamid

Visit Our Alumni

Alumni Benefits
‣ Exclusive Networking Events: Access invitations to industry-leading events and thought-leadership gatherings featuring renowned speakers.

‣ Monthly Updates: Stay informed with a newsletter highlighting the latest research, events, and activities from the school.

‣ LinkedIn Community Access: Join the Executive Education LinkedIn group for networking and professional development opportunities.

‣ Educational Discounts: Enjoy a 20% discount on open-enrollment programs and access to workshops focused on emerging trends.

‣ Global Alumni Network: Connect with a diverse alumni community through the Berkeley School’s online network and engage in country and interest groups.

Is It Worth the Investment?

The Agentic AI program is a valuable professional qualification for technology professionals, business leaders, AI practitioners, and innovators seeking expertise in autonomous AI agents, intelligent automation, enterprise AI, and digital transformation.

UK: £60,000–£130,000+ per year
Middle East: AED 220,000–700,000+ per year
USA: USD 100,000–200,000+ per year
Asia & Africa: Competitive salaries based on experience, industry, AI expertise, organizational size, and intelligent automation responsibilities.

Progression Route:

The Agentic AI program prepares professionals for careers in artificial intelligence, intelligent automation, and digital transformation across diverse industries. Graduates can pursue roles such as AI Engineer, AI Consultant, Machine Learning Engineer, AI Product Manager, Automation Specialist, and Digital Transformation Manager. The program also provides a strong foundation for advanced studies and certifications in Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, and Business Analytics.

What You Earn

You will get a certificate of completion, which is highly reputed and accepted by employers.

Workflow Automation

Learn to automate complex business processes, improve operational efficiency, and optimize decision-making using intelligent AI agents.

Enterprise AI

Gain the knowledge to integrate Agentic AI with enterprise systems, cloud platforms, APIs, and modern business technologies.

Hands-on AI Skills

Develop practical expertise in designing, deploying, and managing autonomous AI agents for real-world business applications.

Related courses

Artificial Intelligence Professional Certificate

The Artificial Intelligence Professional Certificate builds essential skills in machine learning, data analysis, and AI development. Moreover, it prepares learners for careers in AI, data science, and emerging tech industries.

Certified Machine Learning Specialization

The Machine Learning Specialization provides in-depth knowledge and practical skills in machine learning algorithms, data processing, and model evaluation. Furthermore, it covers key areas like supervised and unsupervised learning, deep learning, and reinforcement learning, preparing learners for advanced roles in AI and data science.

Generative AI for Business

Learn how to leverage Generative AI to automate tasks, enhance productivity, create high-quality content, improve decision-making, and drive innovation across business functions using leading AI tools and practical workflows.

MLOps

Develop practical expertise in Machine Learning Operations by learning how to build, deploy, monitor, automate, and manage scalable machine learning models and AI workflows across cloud and enterprise environments.

FAQ?

What is the Agentic AI program?

The Agentic AI programme provides practical knowledge and skills to design, deploy, and manage autonomous AI agents capable of reasoning, planning, decision-making, and automating complex business workflows. Furthermore, participants learn how to integrate intelligent agents with enterprise systems, optimise AI-driven processes, and implement responsible AI practices. As a result, learners develop the expertise needed to build scalable, secure, and efficient AI solutions that drive innovation and digital transformation across organizations.

Who should enroll in this program?

The programme is suitable for business professionals, AI practitioners, software developers, IT managers, digital transformation leaders, entrepreneurs, consultants, and anyone interested in autonomous AI systems. Whether you are beginning your AI journey or expanding your existing expertise, the curriculum provides practical, industry-relevant knowledge and hands-on experience. Furthermore, participants learn how to design, deploy, and manage intelligent AI agents for real-world business applications. As a result, graduates are well prepared to lead AI-driven innovation, automate complex workflows, and support enterprise digital transformation initiatives.

Do I need prior AI or programming experience?

No. The programme is designed for both beginners and experienced professionals. Although basic computer literacy is recommended, prior AI or programming experience is not mandatory. Instead, the curriculum follows a structured learning approach that gradually builds foundational knowledge before progressing to advanced autonomous AI concepts. As a result, participants gain the confidence and practical skills needed to design, deploy, and manage intelligent AI agents in real-world business environments.

What topics are covered in the program?

The curriculum covers Agentic AI fundamentals, AI agents, prompt engineering, Retrieval-Augmented Generation (RAG), multi-agent systems, workflow automation, AI governance, enterprise integration, and AI deployment. In addition, participants learn how to design intelligent autonomous systems, integrate AI agents with enterprise applications, and optimise AI-driven business processes. As a result, learners develop the practical expertise required to build scalable, secure, and production-ready Agentic AI solutions for real-world organisational environments.

What is the difference between Generative AI and Agentic AI?

Generative AI focuses on creating content such as text, images, and code, whereas Agentic AI extends these capabilities by enabling AI agents to reason, plan, make decisions, and autonomously execute complex tasks. Furthermore, autonomous agents can interact with tools, retrieve information, and adapt their actions based on changing objectives and environments. As a result, organisations can automate end-to-end workflows, improve operational efficiency, and support more intelligent, scalable, and autonomous business processes.

Will I learn to build AI agents?

Yes. Participants will gain practical experience designing, configuring, and deploying autonomous AI agents capable of solving real-world business problems. Additionally, the programme includes hands-on projects, practical exercises, and real-world scenarios that simulate enterprise AI environments. As a result, learners develop the confidence and technical expertise needed to build, deploy, and optimise intelligent AI agents that automate complex workflows and deliver measurable business value.

Which industries can benefit from Agentic AI?

Agentic AI is widely applicable across finance, healthcare, manufacturing, logistics, retail, education, customer service, consulting, cybersecurity, and public sector organisations. Furthermore, autonomous AI agents can optimise workflows, support intelligent decision-making, automate complex processes, and enhance operational efficiency across these industries. As a result, organizations can improve productivity, reduce costs, accelerate innovation, and deliver more responsive, data-driven services in rapidly evolving business environments.

Does the program include practical projects?

Yes. Learners participate in hands-on exercises, case studies, AI workflow design activities, and a capstone project to apply their knowledge in practical business scenarios. Additionally, the programme provides opportunities to design, test, and optimise autonomous AI agents for real-world organisational challenges. As a result, participants develop the practical expertise and confidence needed to implement intelligent AI solutions that improve efficiency, automate complex workflows, and support enterprise innovation.

Are AI governance and ethics covered?

Yes. The program includes responsible AI practices, governance frameworks, security, privacy, regulatory considerations, and the ethical deployment of autonomous AI systems. Furthermore, participants learn how to identify and mitigate AI-related risks, establish effective governance policies, and ensure compliance with emerging regulations and industry standards. As a result, learners develop the expertise needed to build secure, transparent, trustworthy, and responsible autonomous AI solutions for enterprise environments.

What career opportunities does this program support?

Graduates can pursue roles such as AI Consultant, AI Solutions Architect, AI Product Manager, AI Automation Specialist, Digital Transformation Manager, Innovation Manager, AI Strategy Consultant, and Chief Technology Officer. Furthermore, the programme equips participants with practical skills that are highly valued across organisations adopting autonomous AI technologies. As a result, graduates are well prepared to lead AI innovation, implement intelligent automation strategies, and drive enterprise digital transformation across a wide range of industries.

Is there an assessment or examination?

Yes. Participants complete practical assignments, case studies, and a final capstone project or assessment to demonstrate their understanding of Agentic AI concepts and applications. Additionally, the programme emphasises hands-on learning through real-world business scenarios, AI workflow design, and autonomous agent development. As a result, learners gain the practical experience and technical confidence needed to design, deploy, and manage intelligent AI solutions that address complex organisational challenges.

Will I receive a certificate upon completion?

Yes. Participants who successfully complete the programme and satisfy the assessment requirements will receive a certificate from Berkeley School of Business, Arts & Sciences. Furthermore, this certificate validates their knowledge of autonomous AI systems, intelligent automation, governance frameworks, and enterprise AI applications. As a result, graduates can enhance their professional credibility and demonstrate their ability to design, deploy, and manage Agentic AI solutions across diverse industries.