Tool Calling & AI Agent Workflows

Live Online (VILT) & Classroom Corporate Training Course

Enable LLMs and AI agents to interact with external tools and systems through function calling, structured arguments, tool selection, API and database integration, search and file tools, permissions, error handling and sequential or parallel workflows.

Expert-Led VILT & Classroom 8 Hours Level: Intermediate - Advanced Certificate of Completion
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Overview

Enable LLMs and AI agents to interact with external tools and systems through function calling, structured arguments, tool selection, API and database integration, search and file tools, permissions, error handling and sequential or parallel workflows.

What You Will Learn

By the end of this course, learners will be able to:

  • Explain function calling and tool calling within LLM and agent architectures.
  • Design clear tool schemas with structured arguments and validated outputs.
  • Understand how AI models select, invoke and use tools.
  • Integrate APIs, databases, search systems and file operations as agent tools.
  • Implement sequential, conditional and parallel tool workflows.
  • Handle tool errors using validation, retries, timeouts and fallback strategies.
  • Apply authentication, authorization and least-privilege tool permissions.
  • Build and test a tool-using AI agent for a real-world use case.
  • Evaluate and optimize tool selection, execution and workflow efficiency.

Prerequisites

Basic Python programming, LLM fundamentals, APIs and familiarity with AI agents are recommended.

Course Outline

  • What is Function Calling?
  • What is Tool Calling?
  • Why LLMs Need Tools
  • LLM-to-Tool Interaction Lifecycle
  • Tool Calls vs Direct Model Responses
  • Function Calling in AI Agent Architectures
  • Common Tool Calling Use Cases
  • Tool Calling Limitations and Challenges

  • Designing Tool Definitions
  • Tool Names and Descriptions
  • Input Parameters
  • Structured Argument Schemas
  • Data Types and Required Fields
  • Enumerations and Constraints
  • Schema Validation
  • Designing Clear Tool Descriptions
  • Structured Tool Outputs
  • Handling Invalid Arguments

  • How Models Select Tools
  • Tool Selection Criteria
  • Providing Multiple Tools to a Model
  • Tool Invocation
  • Passing Structured Arguments
  • Executing Tool Functions
  • Returning Tool Results to the Model
  • Multi-Turn Tool Calling
  • Tool Routing and Selection Logic
  • Preventing Unnecessary Tool Calls

  • API Integration Fundamentals
  • Calling REST APIs as Tools
  • Authentication and API Credentials
  • Database Tools
  • Read and Query Operations
  • Search Tools
  • Web and Knowledge Search
  • File Tools
  • Document and File Operations
  • Combining Multiple External Systems
  • Designing Reliable External Tool Interfaces

  • Common Tool Execution Failures
  • Input and Output Validation
  • Tool Error Handling
  • Timeouts and Retries
  • Fallback Strategies
  • Tool Permissions
  • Authentication and Authorization
  • Least-Privilege Tool Access
  • Preventing Unauthorized Actions
  • Logging and Auditing Tool Usage

  • What is a Tool Workflow?
  • Sequential Tool Execution
  • Tool Dependencies
  • Passing Results Between Tools
  • Conditional Tool Workflows
  • Parallel Tool Execution
  • Concurrent Independent Tool Calls
  • Aggregating Parallel Results
  • Handling Partial Failures
  • Designing Efficient Tool Workflows

  • Define the Agent Use Case
  • Design the Agent and Tool Architecture
  • Define Tool Schemas
  • Implement Structured Arguments
  • Integrate an External API Tool
  • Implement a Database Tool
  • Add a Search Tool
  • Add a File or Document Tool
  • Implement Tool Selection
  • Implement Tool Execution and Result Handling
  • Add Validation, Error Handling and Retries
  • Configure Tool Permissions
  • Build a Sequential Tool Workflow
  • Build a Parallel Tool Workflow
  • Test the Agent with Realistic Tasks
  • Evaluate and Optimize Tool Usage
  • Final Demonstration

Available Training Modes

Pick the format that fits your team.

Same authorised curriculum, same trainers, same hands-on cloud labs — delivered the way that works for you.

Live Online (VILT)

Real-time instructor-led sessions over Zoom or Teams. Same classroom, different time zones.

Most popular

Classroom

Face-to-face training delivered at your office, our Bengaluru centre, or any partner venue worldwide.

Onsite

Self-Paced

Recorded sessions plus 24/7 access to cloud labs and assessments. Learn at the pace that works for each engineer.

On-demand

Blended

Live workshops with self-paced reinforcement and project-based labs. Best for hybrid teams across regions.

Hybrid teams
All modes include: hands-on cloud labs, recordings, assessments, certificate of completion. Talk to a solutions advisor →

Our Training Process

How a course becomes measurable skill.

One contract, five steps, zero handoffs. From discovery to deployment, the same Synergific team owns the outcome — not a chain of vendors.

5 Steps from your scoping call to certified, productive engineers.
01

Discover & set goals

We start with a scoping call to understand your team's current skill level, target outcomes, deadlines, and certification needs — then translate that into a measurable success plan with named owners on both sides.

02

Curate the right path

We map the optimal learning path — instructor-led, self-paced, or blended — with hands-on cloud labs, prerequisite refreshers, and certification vouchers built in. No filler modules, no padded curriculum.

03

Deliver hands-on training

Authorised trainers run live sessions backed by 24/7 cloud labs and real-world projects. Theory and practice on the same day — learners stop forgetting concepts before they get to apply them.

04

Assess & mentor

Continuous skill checks, mock exams, and 1:1 mentoring keep the program honest. If anyone falls behind, we course-correct in-flight — you'll never find out at the end that two engineers couldn't keep up.

05

Certify & apply on the job

Voucher-backed certification, post-training office hours, and 30-day reinforcement so skills land on real work — not just on the exam scorecard. Success measured after the course ends, not before.

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