AI Fundamentals
Understand AI concepts, use cases, business impact, responsible AI, and practical adoption patterns.
AI Training Programs
Training on AI, GenAI, Agentic AI, MCP Server, A2A and Modern AI Tech Stacks
Munimax IT Consulting Services provides practical training for students, developers, IT teams and business users who want to understand, build and implement modern AI-powered solutions.
Training Tracks
Choose focused AI learning tracks based on your role and requirement
Each track can be delivered as a beginner-friendly session, hands-on workshop, corporate training, or project-based implementation program.
Generative AI
Learn prompts, LLM applications, content generation, summarisation, document intelligence and enterprise GenAI patterns.
Agentic AI
Build AI agents that reason, plan, call tools, use memory, work with workflows and support human approval.
MCP Server
Understand Model Context Protocol and how to connect AI assistants with tools, APIs, databases, files and enterprise systems.
A2A
Learn agent-to-agent communication concepts, multi-agent collaboration, coordination patterns and interoperability models.
AI Automation
Automate email, documents, reporting, support workflows, approvals and business operations using AI-powered flows.
Curriculum Overview
Practical curriculum for real project implementation
The training focuses on hands-on understanding, implementation patterns, reference architectures and practical project examples. It is suitable for technical teams, business teams, freelancers, founders and students.
01AI, ML, GenAI and LLM fundamentals with real business use cases
02Prompt engineering, structured outputs, RAG and document intelligence
03Agentic AI design: tools, planning, memory, orchestration and HITL approvals
04MCP server concepts, tool integration and enterprise context access
05A2A concepts, multi-agent collaboration and agent communication patterns
06AI automation project examples using APIs, documents, email and dashboards
Training Formats
- One-day AI awareness session
- Two-day GenAI and prompt engineering workshop
- Five-day AI agent development bootcamp
- Corporate training for engineering teams
- Project-based training with proof-of-concept delivery
- Custom training for business, finance and operations teams
Tools & Technology Stack
AI tools, frameworks and platforms covered
The training can be tailored based on your preferred AI platform, cloud environment and application stack.
LLM & GenAI Platforms
Agentic AI & Orchestration
MCP & A2A
RAG, Data & Vector Search
Development Stack
Cloud & Automation
Who Can Attend
Training designed for both technical and business teams
Programs can be customized for different roles and maturity levels.
Developers
Build AI apps, agents, tools, MCP servers, RAG systems and automation workflows.
Architects
Design enterprise AI architecture, governance, integrations and scalable implementation patterns.
Business Teams
Understand AI use cases, productivity automation and practical adoption opportunities.
Students & Freelancers
Learn in-demand AI skills for freelancing, projects, prototypes and career growth.
Hands-on tools covered
Training can include practical demos using leading AI and automation platforms
Programs can be customised to cover the tools your team wants to learn or adopt.
LangChain
Chains, tools, RAG flows and LLM application patterns.
LangGraph
Stateful agents, orchestration, human approval and multi-agent workflows.
LlamaIndex
Document indexing, query engines, connectors and knowledge assistants.
ElevenLabs
Voice AI, speech generation and conversational audio use cases.
Twilio
WhatsApp, SMS, voice calls, IVR and communication workflows.
Power BI
Dashboards, reports and AI-assisted business insights.
Python
AI apps, APIs, automation, data processing and backend development.
Cloud
Azure, AWS, deployment, monitoring, serverless and container patterns.
LangChain Ecosystem Training
Hands-on training for LangChain, LangGraph, LangSmith and RAG
Training can include agent development, RAG pipelines, tool calling, tracing, evaluations and production deployment patterns.
LangChain
Prompts, chains, tools, retrievers and structured AI workflows.
LangGraph
Agentic AI, stateful graphs, HITL and multi-agent orchestration.
LangSmith
Tracing, debugging, evaluations and monitoring for LLM apps.
RAG
Document ingestion, retrieval, vector search and grounded answers.
Training Enquiry
Need AI, GenAI or Agentic AI training for your team?
Submit your training requirement through WhatsApp or email. We can customize the content based on audience and duration.