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Program overview
Online
On-site
Hybrid
Advanced Agentic AI for Enterprise Bootcamp
Design, build, and deploy enterprise-ready Agentic AI systems. This bootcamp focuses on multi-agent orchestration, autonomous workflows, enterprise RAG, observability, governance, and deployment. Teams learn how to move from experimental LLM apps to auditable, secure, and compliant Agentic AI solutions aligned with real business workflows.
Duration:
5 days
Level:
Advanced
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1500+ users onboarded
Who will Benefit from this Training?
- AI and ML Engineers
- Data Scientists and MLOps Engineers
- Platform and DevOps Engineers
- Product Managers working on AI products
- Enterprise Architects and Tech Leads
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Training Objectives
- Architect and deploy enterprise-grade multi-agent systems aligned with enterprise governance requirements.
- Build tool-using agents with LangChain, DSPy, LangGraph, and CrewAI.
- Design enterprise RAG pipelines with audit trails and traceable citations.
- Implement planning, reflection, and safety guardrails for reliable autonomous behavior.
- Deploy agent systems with observability, evaluation, and compliance-ready logging.
- Deliver a production-style capstone solution with architecture and governance documentation.
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
- Module 1: Foundations of Agentic AI and Enterprise LLMs
- Evolution from chatbots to agents and autonomous workflows
- Enterprise agent use cases across finance, operations, and compliance
- Prompting for structured outputs, control, and auditability
- Thought-Action-Observation loops and agent execution lifecycle
- Lab: Compare raw LLM vs agent outputs and build a controlled prompt chain
- Module 2: LLM Pipelines with LangChain and DSPy
- LangChain essentials: tools, agents, memory, and chains
- LCEL patterns for composable agent pipelines
- DSPy for declarative prompt optimization and programmatic evaluation
- Structured extraction and report generation workflows
- Lab: Build a DSPy extraction pipeline and a memory-enabled LangChain agent
- Module 3: Enterprise RAG and Long-Term Memory
- RAG design for confidential enterprise documents
- Vector stores with FAISS and Chroma
- Chunking strategies, metadata filters, and hybrid retrieval
- Traceable citations and retrieval audit trails
- Lab: Index enterprise policies and build a RAG agent with citations
- Module 4: Tool Integration, Function Calling and Secure Execution
- OpenAI tool calling concepts and schema design
- Building custom tools (Python, REST) for enterprise systems
- Error handling, retries, rate limits, and tool validation
- Authentication patterns and secure tool execution logs
- Lab: Implement a tool-calling agent that produces a governed KPI output
- Module 5: Multi-Agent Systems and Orchestration
- Agent reasoning patterns: ReAct, Plan-and-Execute, Reflection
- LangGraph for branching, stateful, multi-step workflows
- CrewAI and AutoGen for role-based agent teams
- Coordination strategies: hierarchical vs peer-to-peer
- Lab: Build a Compliance Crew with validator, summarizer, and reporter agents
- Module 6: Interoperability and Workflow Builders
- No-code and low-code builders such as Flowise for rapid prototyping
- Model Context Protocol (MCP) for tool interoperability
- Agent discovery, registration, and reusable tool catalogs
- Human-in-the-loop gates for high-risk actions
- Lab: Build a Flowise workflow with MCP integration and manual approvals
- Module 7: Deployment, Observability, Evaluation and Governance
- Packaging and deployment with Docker, Streamlit, and API backends
- Observability with Langfuse and trace-based debugging
- Evaluation approaches: task metrics, rubrics, and regression checks
- Governance controls: logging, access policies, and audit readiness
- Lab: Deploy an audit assistant UI and run evaluation comparisons
- Capstone: Enterprise Agentic AI Solution
- Select an enterprise use case: compliance agent, market research crew, fraud advisor, or knowledge copilot
- Deliver a functional multi-agent application with UI and observability
- Create architecture diagram and governance controls documentation
- Executive presentation and peer review
Hands-on Experience with Tools
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Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
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Implementation
Supplementing training with consulting support to ensure implementation in real projects
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Why Agentic AI for your business?
- Enterprise-ready autonomy: Move from static chatbots to multi-agent systems that reason, plan, and act.
- Operational efficiency: Automate complex workflows across finance, compliance, and operations.
- Governed AI adoption: Build auditable, traceable, and policy-aligned AI agents.
- Future-proof architecture: Adopt emerging standards like MCP and ACP for cross-tool interoperability.
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Lead the Digital Landscape with Cutting-Edge Tech and In-House " Techsperts "
Discover the power of digital transformation with train-to-deliver programs from Uptut's experts. Backed by 50,000+ professionals across the world's leading tech innovators.
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.