Certification in Generative AI and Agentic Systems
40-hour Gen AI & Agentic Systems training
Globally recognised AI certification
Automation Sandbox for Gen AI workflows
Lifetime access to expert-led 8 modules
Flexible learning options with easy instalments
4.39/56682 EnrolledEnrolled Learners
4.39/56682 EnrolledEnrolled Learners
Overview
What we are going to teach you:
- Master Generative AI concepts, including LLM architecture, tokens, and prompting techniques
- Build and test AI agents on no-code platforms for autonomous workflows
- Design Retrieval-Augmented Generation (RAG) systems with company documents and vector databases
- Optimise workflows by integrating AI tools like Zapier, Make, and n8n
- Analyse real-world case studies, including Duolingo’s GPT-4 and Coca-Cola’s AI campaigns
- Create AI-powered process optimisation projects with measurable ROI and change management plans
Upcoming sessions
Curriculum
1
Evolution of Generative AI and Agentic Systems
2
Key concepts: LLMs, GPT models, Autonomous Agents, Multimodal AI
3
Applications in business: automation, personalization, optimization
4
Business Process AI Opportunity Selection
1
Advanced prompt engineering techniques
2
Chain-of-Thought Prompting and Few-Shot Learning
3
Persona-based prompts and meta-prompting
4
AI Prompt Architecture Design
1
What makes AI systems autonomous
2
Multi-Agent Systems collaboration
3
Designing autonomous decision-making systems
4
Agentic Workflow Design Blueprint
1
Introduction to RAG
2
Vector databases and semantic search
3
Custom knowledge bases for business
4
Knowledge-Enhanced AI Integration Plan
1
Integrating AI with CRM, ERP, marketing platforms
2
Low-code/no-code workflow automation
3
API integration for orchestration
4
Enterprise AI Workflow Automation Model
1
AI ethics: fairness, accountability, transparency
2
Bias detection and mitigation
3
Data privacy regulations: GDPR, CCPA, AI Act
4
Responsible AI Governance Framework
1
Defining KPIs for AI projects
2
Calculating ROI and TCO
3
Change management in AI implementation
4
AI ROI & Change Management Strategy
1
Final presentations
2
Q&A and expert panel feedback
3
Future trends: AGI, quantum AI, multimodal AI
4
Executive AI Transformation Presentation
1
Participants develop a basic AI solution framework, including prompt architectures, agentic workflows, RAG systems, governance strategies, and AI integration plans, aligned with business objectives.
1
The Automation Sandbox enables participants to apply the knowledge gained during the training to their professional responsibilities and everyday work processes.
2
This activity encourages participants to examine their existing workflows and consider how the concepts learned in the program can be used to improve efficiency, streamline tasks, and support better operational outcomes.
3
It helps participants approach their processes from an automation-oriented perspective, identifying areas where structured processes and automation could add value while also recognizing situations where automation may not be appropriate.
4
Through guided exercises, participants will review and analyze their current workflows, identifying opportunities for improvement through clearer structuring, simplification, and logical sequencing of tasks.
5
They will then translate their process expertise into well-defined workflow structures that outline key steps, decision points, and expected results.
6
These structured workflows are designed to be easily understood by technical automation teams, enabling effective implementation while bridging the gap between operational process knowledge and technical automation development.
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
Upon course completion, professionals are able to:
1
Learn advanced prompt engineering techniques to create effective AI-driven business solutions
2
Understand agentic systems and their application in automating complex decision-making processes
3
Develop AI-powered process optimisation initiatives to enhance organisational efficiency and performance
4
Gain expertise in integrating AI with existing business tools through APIs and low-code platforms
5
Build knowledge of AI ethics, governance, and data privacy regulations for responsible AI deployment
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
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Frequently asked questions
The Certification in Generative AI and Agentic Systems covers the practical AI skills professionals need to design, deploy, and govern AI initiatives. Participants study Generative AI foundations, LLMs, GPT models, prompt engineering, agentic workflows, RAG systems, enterprise AI integration, responsible AI governance, and AI performance measurement.
This course also includes hands-on work with GPT, Claude, Gemini, AutoGPT, NotebookLM, and Salesforce Einstein AI examples. Participants complete industry simulations, an Automation Sandbox, and a capstone project focused on AI integration, governance, ROI, TCO, KPIs, and change planning.
This Agentic AI course is different from a regular Generative AI course because it goes beyond using Generative AI for prompts, content, or basic automation. Participants study how autonomous AI systems, multi-agent collaboration, and agentic workflows can support structured business decisions and task execution across enterprise processes.
This training also connects agent design with RAG systems, CRM/ERP integration, responsible AI governance, and AI ROI measurement. Through no-code agent activities, industry simulations, and the capstone project, participants learn to plan AI systems that are governed, and aligned with business outcomes.
No, advanced coding experience is not required for this Generative AI and Agentic Systems training. This training course is designed around practical business application, with participants exploring GPT, Claude, Gemini, prompt engineering, and no-code agent creation before moving into structured AI workflows.
They also learn how to map existing processes, design agentic workflows, plan RAG integration, and apply responsible AI governance. This makes the training suitable for professionals who understand business operations and want to apply AI clearly and practically.
The training introduces tools through practical activities, case studies, and workflow simulations, so participants can connect AI platforms with business use, governance, automation, and enterprise integration. These are the following AI tools and platforms explored in this training:
- GPT, Claude, and Gemini for AI tools exploration
- No-code platforms for building simple autonomous agents
- AutoGPT for understanding task automation use cases
- NotebookLM for enterprise knowledge management and RAG examples
- Salesforce Einstein AI for workflow automation in business systems
- CRM, ERP, and marketing platforms for AI integration planning
The Industry Simulation in this training helps participants develop a basic AI solution framework aligned with business objectives. It covers prompt architectures, agentic workflows, RAG systems, AI governance strategies, and AI integration plans, giving participants a practical route from concept to implementation-ready planning.
The Automation Sandbox focuses on real workplace process improvement. Participants review existing workflows, identify where automation can add value, and recognise where it may not fit. They then structure key steps, decision points, and expected results so technical automation teams can understand and implement them clearly.
Yes, participants receive a certification after successful completion of the Generative AI and Agentic Systems course. The assessment checks practical readiness. Participants are evaluated through continuous guidance, practical case work, scenario-based activities, and a final summative assessment aligned with defined competency benchmarks.
This training program also includes final presentations, Q&A, and expert panel feedback, where participants present an executive AI transformation strategy. This validates their understanding of prompt architectures, agentic workflows, RAG systems, AI governance, ROI, and implementation planning.
Learners Point makes this Generative AI and Agentic Systems training practical through structured activities, workplace simulations, assessment, and applied guidance that support real AI adoption. Here's why you should choose Learners Point for this training:
- Learn through industry simulations and real AI case studies
- Build prompt architectures, agentic workflows, and RAG plans
- Practise Automation Sandbox tasks using workplace process examples
- Apply responsible AI governance for fairness and transparency
- Measure AI value through ROI, TCO, and KPIs
- Present a board-ready AI transformation strategy with expert feedback
After completing this Agentic AI course, participants can pursue roles focused on designing AI workflows, managing governance, integrating enterprise systems, and measuring AI value across business functions. These are the potential career paths:
- AI Transformation Lead for enterprise AI adoption planning
- Agentic AI Workflow Designer for autonomous process models
- AI Solutions Consultant for business-aligned AI frameworks
- Automation Strategy Specialist for workflow improvement projects
- Responsible AI Governance Analyst for fairness and compliance
- AI Project Manager for ROI, KPIs, and change planning
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