Applied GenAI & Agentic AI Course Malaysia — HRD Corp claimable, we support the documentation
This course now carries Applied GenAI & Agentic AI (AGAI).
16 hours, extendable to 24 hours for teams; onsite or live online, with 60% hands-on learning. Closed corporate groups on request from 5 participants, scheduled with each client. For business operators, managers and analysts building no-code GenAI tasks, document assistants and multi-step agent workflows.
Malaysia training provider: 360DigiTMG Sdn Bhd (MyCoID 1265527-M).
SUNY Potsdam certification pathway: Gen AI Fundamentals.
HRD Corp claimable; we support the documentation.
Applied GenAI and Agentic AI: learning outcomes
- Design business workflows using language models and agentic tools.
- Work with text, images and documents to create reports and other business assets.
- Build custom assistants and multi-step processes with Autogen Studio and LangFlow.
- Connect applications with n8n, Power Automate and Workspace AI.
- Explore Pinecone and Redis for vector search and agent memory.
Practical workflow projects
Apply these skills to reporting, customer support, HR administration, finance reconciliation, document and image processing, email follow-ups, custom assistants and multi-agent workflows.
- Get Trained by Trainers from ISB, IIT & IIM
- 16 live training hours (up to 24 for teams)
Academic Partners & International Accreditations
The global IT sector, including established enterprises and fast-growing startups, is rapidly integrating Agentic AI across multiple domains. Leading organizations are adopting autonomous AI agents to streamline workflows, automate complex tasks, and enhance operational efficiency. At the same time, innovators are leveraging Agentic AI to transform traditional processes and build scalable AI-driven solutions. Staying updated with advancements in autonomous systems and multi-agent frameworks provides insights into cutting-edge AI developments. Collaborative efforts by industry, academia, and governments are further establishing the foundation for next-generation AI innovation.
Agentic AI
Total Duration
3 Months
Prerequisites
- Computer Skills
- Basic Programming Knowledge
- Analytical Mindset
Agentic AI Training Programme Overview
360DigiTMG's Applied GenAI & Agentic AI programme (AGAI) is a business-focused, certification with 60% hands-on learning for professionals who want to design and implement AI-powered workflows without coding. Delivered in 16 hours, extendable to 24 hours for teams, onsite or live online, this programme is HRD Corp claimable, we support the documentation. Participants learn to work with LLMs, build RAG systems, design agentic AI workflows, and apply automation tools including n8n, LangFlow, LangChain Agents, and Microsoft Copilot — guided by 360DigiTMG's specialist faculty with over 8 years of AI training experience in Malaysia.
Agentic AI enables the design and deployment of autonomous AI agents capable of performing complex tasks, making decisions, and interacting with multiple systems without continuous human intervention. By leveraging large datasets, multi-agent coordination, and AI frameworks, Agentic AI systems can automate workflows, generate insights, and execute tasks across diverse domains. In essence, it involves using intelligent agents that perceive their environment, plan actions, and adapt based on outcomes to achieve specific objectives efficiently.
What is Agentic AI?
Agentic AI is a form of artificial intelligence focused on building autonomous agents that can act independently to accomplish goals. These agents can handle complex problem-solving, automate repetitive tasks, and interact with other AI or human systems. By integrating multi-agent frameworks, such as LangSmith, CrewAI, and Roboflow standards, Agentic AI can be applied in areas like business intelligence dashboards, automated data retrieval, workflow orchestration, and real-time alert systems. Companies can utilize Agentic AI to boost operational efficiency, enhance decision-making, and deliver scalable AI-driven solutions.
Course Objective
The Agentic AI course is designed to provide participants with hands-on experience in building and deploying autonomous agents. You will gain a deep understanding of Agentic AI frameworks, multi-agent systems, and automation pipelines. The course equips learners to leverage these technologies to design autonomous workflows, integrate AI across business processes, and implement Agentic AI solutions in real-world projects across sectors like healthcare, finance, manufacturing, and enterprise analytics.
Agentic AI Training Learning Outcomes
Recognize real-world challenges that can be successfully solved with agentic AI methods. Use basic agentic AI techniques and determine when more sophisticated approaches are needed. Help create intelligent agents that have autonomous decision-making capabilities, goal-oriented actions, and the ability to learn from their surroundings.
The core goals of Agentic AI are to develop systems that behave with intention, plan strategically, and collaborate with people or other agents to accomplish complex objectives. These agents are able to perceive, reason, and make context-sensitive decisions in uncertain and changing environments. Agentic AI is most valuable in automation, personalized support, and real-time problem-solving. Through continuous learning and situational awareness, agentic AI can adapt its behaviors to meet individual users’ needs, enhancing efficiency, engagement, and results across a variety of applications.
- Design and deploy autonomous AI agents to automate complex tasks
- Build multi-agent systems for alerts, summaries, and data retrieval
- Apply Agentic AI frameworks to solve real-world business problems
- Integrate AI agents into workflows, dashboards, and enterprise applications
- Evaluate and optimize agent performance for efficiency and accuracy
- Lead AI-driven transformation projects within organizations
Agentic AI Certification Modules
Before diving into hands-on projects, it is essential to understand what Agentic AI entails. This program focuses on designing autonomous AI agents, automating complex workflows, and deploying multi-agent systems that interact with other agents or human systems. Agentic AI is distinct from other AI paradigms because it emphasizes independence, decision-making, and orchestration across tasks.
- Introduction to autonomous AI agents and their role in business transformation
- Design and deploy AI agents to automate complex tasks and workflows
- Learn to orchestrate multiple agents for real-time alerts, summaries, and data retrieval
- Apply Agentic AI in operational efficiency, enterprise dashboards, and analytics
- Build and manage systems where multiple agents collaborate to solve problems
- Implement coordination protocols to optimize performance across tasks
- Deploy agents for applications such as automated reporting, monitoring, and decision-making
- Explore case studies of multi-agent deployments in healthcare, finance, and enterprise analytics
- Hands-on training with frameworks and tools such as LangSmith, CrewAI, Roboflow, AutoGen, AgentOps, and Flowise
- Understand standards and best practices for building robust, autonomous AI agents
- Integrate AI agents into existing enterprise processes for seamless automation
- Learn to scale and maintain multi-agent workflows efficiently
- Design GenAI assistants with autonomous decision-making capabilities
- Build automated business intelligence dashboards powered by AI agents
- Implement end-to-end AI pipelines for tasks like data retrieval, alerts, and operational monitoring
- Lead AI-driven transformation projects within organizations
- Deploy multi-agent systems in cloud environments for scalability
- Leverage enterprise-grade frameworks to orchestrate agents across distributed systems
- Optimize agent performance and workflow efficiency using cloud-based infrastructure
Tools Covered
GenAI assistants and models
- ChatGPT
- Claude
- Gemini
- Llama
- Perplexity
AI-assisted and vibe coding
- GitHub Copilot
- Cursor
- Claude Code
- Replit
Agentic AI frameworks
- LangChain
- Hugging Face
- Ollama
Zero-code AI automation
- n8n
- Zapier
- Make
Deploy and MLOps
- MLflow
- Streamlit
- Docker
- Databricks
- AWS
- Google Cloud
Trends in Agentic AI
Agentic AI is rapidly shaping the next phase of autonomous intelligence, transforming how businesses and organizations operate. With the rise of multi- agent systems and autonomous workflows, industries can automate complex tasks, orchestrate decision-making, and generate real-time insights without continuous human supervision. Key trends include designing autonomous AI agents for operations, integrating multi-agent frameworks for alerts and data retrieval, and leveraging AI-driven automation to optimize efficiency across sectors.
The applications of Agentic AI are expanding quickly, from automating enterprise workflows to enhancing business intelligence dashboards and enabling coordinated multi-agent systems for alerts, summaries, and operational reporting. Companies, academic institutions, and policymakers must collaborate to ensure responsible deployment, addressing ethical, legal, and operational considerations. By doing so, organizations can harness the full potential of Agentic AI to drive innovation, streamline processes, and create scalable, autonomous solutions.
How we prepare you
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Additional Assignments of over 60+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 Support
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Complimentary Courses
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Hands-on Experience in Live Projects
Call us Today!
+60 19-383 1378Generative AI Training Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 18+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 18+ years across several industry domains
- Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
- Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Bhargavi Kandukuri
- Areas of expertise: Business analytics, Quality management, Data
visualisation with Tableau, COBOL, CICS, DB2 and JCL - Electronics and communications engineer with over 19+ years of industry experience
- Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
- Trained over 750+ professionals across the globe in three years
- Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Agentic AI Certificate
Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Our Alumni Work At
And more...
FAQs for Agentic AI Course
Agentic AI refers to AI systems that take autonomous actions, execute multi-step tasks, and interact with other systems or agents to achieve business goals — without requiring human intervention at each step. For Malaysian businesses, agentic AI is enabling automation of complex workflows across finance, HR, customer service, and operations.
No technical background or coding experience is required. This programme is specifically designed for business professionals, operations managers, and executives. All exercises are 100% hands-on through guided tools — no coding involved.
Generative AI produces content — text, images, code — in response to prompts. Agentic AI takes that capability further by allowing AI systems to plan, reason, use tools, and complete multi-step tasks autonomously. This programme covers both, with emphasis on applying agentic AI to real business workflows.
Is this GenAI course HRD Corp claimable, we support the documentation?
Yes — this programme is HRD Corp claimable, we support the documentation. Contact 360DigiTMG for enrolment guidance. The HRDC Registration Number will be provided on confirmation.
Participants work with LLM interfaces (OpenAI, Claude, Gemini), Microsoft Copilot, n8n, LangFlow, Autogen Studio, LangChain Agents, Custom GPTs, and vector database tools for RAG. All tools are provided in guided environments — no licences required.
16 hours, extendable to 24 hours for teams; onsite or live online.
The program is designed for professionals in analytics, IT, operations, or business. No coding is required.
Yes. Beginners are guided through foundational concepts and hands-on labs.
Yes. Participants receive an Agentic AI Certification.
Fees vary by learning mode.
Yes. Scholarships are available for eligible candidates.
The course is flexible and suitable for working professionals.
Projects include building AI agents, automation workflows, and multi-agent systems.
Yes. A learner community and discussion forums are available.
Tools include AutoGen, CrewAI, Flowise, and other Agentic AI frameworks.
A laptop with internet access is sufficient. No high-end hardware is needed.
The course is delivered via live online sessions, classroom workshops, and recordings.
Yes. Participants receive lifetime access to recordings and materials.
Yes. Assessments include quizzes, assignments, and a final evaluation.
Yes. Flexible learning options allow pauses and access to recordings.
Yes. Free demo sessions are available.
Support includes mentors, forums, and technical assistance.
Roles include AI Automation Engineer, AI Consultant, and AI Workflow Designer.
Content is regularly updated to reflect latest AI trends and tools.
Agentic AI roles focus on designing autonomous AI agents, building multi- agent systems, and automating complex workflows. Professionals may work on alert systems, real-time data retrieval, and intelligent dashboards. Key roles include AI automation engineers, multi-agent system developers, workflow architects, and enterprise AI strategists. The field is interdisciplinary, requiring skills in computer science, software engineering, and AI frameworks such as LangSmith, CrewAI, and Roboflow.
Salaries for Agentic AI Professionals
Agentic AI Projects in Malaysia
Malaysia is rapidly adopting Agentic AI in sectors like finance, healthcare, logistics, and IT services. Organizations are deploying autonomous agents for workflow automation, alert generation, and real-time data summaries. Startups and enterprises are leveraging multi-agent frameworks to streamline operations and improve decision-making efficiency. Collaboration between research institutes and companies is driving the development of scalable, enterprise-ready Agentic AI solutions.
Role of Open Source Tools in Agentic AI
Open source tools and frameworks like LangSmith, CrewAI, Roboflow, and AutoGen accelerate Agentic AI development. They allow professionals to build, test, and deploy autonomous agents without reinventing core systems. Community contributions enable sharing of best practices, improving framework efficiency, and fostering innovation in multi-agent orchestration and AI-driven automation.
Modes of Training for Agentic AI Course
The program combines hands-on projects with theoretical learning. Participants gain practical experience in designing AI agents, deploying multi-agent systems, and automating workflows. Additional learning through webinars, hackathons, and live projects ensures real-world application. Guidance from industry practitioners provides mentorship in implementing Agentic AI across enterprise systems and decision-making processes.
Industry Application of Agentic AI
Agentic AI is applied in finance for automated risk analysis, in healthcare for intelligent patient monitoring, and in IT for workflow orchestration. Multi-agent systems generate alerts, summarize data, and automate reporting. Enterprises are using autonomous agents to enhance operational efficiency, reduce manual intervention, and enable AI-driven strategic decision-making. The technology is transforming traditional processes into scalable, automated systems.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sana Ahsan
5 years ago
Suriyaa Kumar
5 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
5 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
5 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
4 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
What stood out most was the programme's practical and structured approach to AI adoption. The industry-specific examples, combined with clear frameworks for evaluating feasibility and designing solutions, made the learning highly relevant to our business.
What stood out most was the trainer's simple way of explaining Data Science and GenAI, and showing us different AI tools that I had not used before. It made me realise how useful these tools can be in our daily work.
