What is the Agentic AI Engineering Workshop course?
This workshop gives engineers practical experience building AI agents from first principles: planning, tool calling, memory and orchestration across common agent frameworks. It targets developers and architects who want working prototypes and a clear view of where agents succeed and fail.
What is Agentic AI Engineering Workshop training about?
This course gives you a clear, structured path through how to design, build and apply generative-AI and agentic systems responsibly and effectively. You will learn the underlying principles, when and why to apply them, and how to avoid the mistakes teams make in practice. Sessions are interactive and discussion-led, so you build understanding you can defend on the job — not just exam recall.
Key highlights of the Agentic AI Engineering Workshop course
- Live, instructor-led training delivered by experienced practitioners
- Hands-on activities, real-world examples and case discussions in every session
- Practical focus on applying Agentic AI Engineering Workshop in your own role and organisation
- Downloadable course materials and reference guides to keep
- Small-group format with room for your specific questions
- Certificate of participation from Simplilead, plus guidance toward certification
Skills you will gain
The Agentic AI Engineering Workshop program is built around the capabilities that matter in generative and applied AI:
- Understanding modern AI models and their capabilities
- Designing prompts, tools and agentic workflows
- Integrating AI into real products and processes
- Evaluating quality, cost and reliability
- Applying responsible-AI and governance practices
- Identifying high-value AI use cases
Who should attend?
This Agentic AI Engineering Workshop course is ideal for engineers, product people, leaders and practitioners building with modern AI. There are no rigid prerequisites — just an interest in doing the work well and a willingness to take part in the hands-on sessions.
Why train with Simplilead?
We focus on outcomes, not slideware. Expert trainers, practice-led sessions and ongoing learner support mean you finish the Agentic AI Engineering Workshop training able to build and apply AI solutions that create real, responsible value — with a credential that signals real capability to employers.
The programme runs for 2 days of live, instructor-led training. The certification exam fee is included in the course price.
Who should take the Agentic AI Engineering Workshop course?
Agentic AI Engineering Workshop training is designed for professionals who want to apply it in their current or next role, including:
- Developers prototyping internal assistants that act on enterprise data
- Solution architects choosing between workflow automation and autonomous agents
- Data engineers connecting knowledge sources to agent retrieval layers
- QA engineers who must test non-deterministic AI behaviour
- Product engineers moving an agent demo towards a supportable service
What are the prerequisites for Agentic AI Engineering Workshop?
- Programming experience in Python or a similar language
- Basic understanding of how large language models respond to prompts
Live instructor-led training
Agentic AI Engineering Workshop
₹24,999
View course & schedulesWhat will you learn in the Agentic AI Engineering Workshop course?
By the end of the training you will be able to:
- Distinguish agents from simple LLM calls and workflow chains
- Implement a reason-and-act loop with tool calling and memory
- Compare single-agent and multi-agent architectures for a given business task
- Build retrieval pipelines that ground agent answers in company documents
- Add guardrails, retries and fallbacks to improve agent reliability
- Trace agent runs to find failures in reasoning or tool selection
What is the Agentic AI Engineering Workshop syllabus?
The curriculum is delivered over 2 days and covers 6 modules:
Module 1: From LLM Calls to Agents
- Agent definition and capabilities
- Workflows versus autonomous agents
- Planning and reasoning patterns
- Typical agent use cases
Module 2: Tools and Function Calling
- Designing tool interfaces
- Schema validation of arguments
- Handling tool failures
- Calling external APIs safely
Module 3: Memory and Retrieval
- Short-term and long-term memory
- Embeddings and vector search
- Chunking documents for retrieval
- Grounding answers with citations
Module 4: Agent Architectures
- ReAct-style reasoning and acting loops
- Planner and executor split
- Multi-agent collaboration and hand-offs
- Orchestration framework options
Module 5: Reliability and Guardrails
- Input and output validation
- Retries, fallbacks and timeouts
- Permission scopes for actions
- Human approval steps
Module 6: Testing and Observability
- Evaluating agent task success
- Trace inspection and debugging
- Cost and latency monitoring
- Preparing a prototype for handover
How do you get certified after the Agentic AI Engineering Workshop course?
Agentic AI Engineering Workshop is assessed through the course itself: complete the live sessions and the included assessment to earn your certificate. There is no separate third-party exam to book.
How much does the Agentic AI Engineering Workshop course cost?
Agentic AI Engineering Workshop training with SimpliLEAD is priced from US$695, inclusive of the certification exam fee. Pricing covers 2 days of live training, courseware and post-class support. The course page shows the same price converted into your local currency, along with current schedules and offers. Payment is charged in US dollars.
Frequently asked questions
What programming experience do I need?
Comfort with Python is expected. You should be able to read and write functions and call APIs; we handle the agent-specific concepts in the workshop.
Is this tied to one vendor's framework?
No. We teach vendor-neutral agent engineering patterns and apply them with a mainstream LLM and orchestration toolkit, so the skills transfer across stacks.
How is this different from a prompt engineering course?
Prompt engineering is one input. This workshop covers tools, memory, orchestration, evaluation, and deployment — the full engineering of an autonomous agent.
Will I build something real?
Yes. You ship a working, evaluated agent as a capstone and leave with the code.
Do you cover safety and guardrails?
Yes. A full module covers prompt injection, tool-misuse prevention, observability, and fallbacks, since these are non-negotiable for production agents.
Live instructor-led training
Agentic AI Engineering Workshop
₹24,999
View course & schedules