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Agentic AI Training

Agentic AI Training

From Prompting to Enterprise AI Automation

Mode: Physical & Online Live Classes (Day/Night)
Successful student from Broadway Infosys Ms. Anjali Jaiswal
Successful student from Broadway Infosys Ms. Ishu Sitikhu
Successful student from Broadway Infosys Mr. Amit Raman Poudel
Successful student from Broadway Infosys Mr. Dipesh Giri

More than 19,000+ students have started their career after getting certified from Broadway Infosys.

Updated On: 05/2026

Created On: 03/2026

Course Overview
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This course teaches how businesses use modern LLM tools such as ChatGPT from OpenAI, Gemini from Google, and Claude from Anthropic for real-world work in Telecom and Manufacturing.

Students start with LLM basics and professional prompting methods. Then they learn about AI software connections, which use APIs to create automated workflow systems. The course teaches enterprise knowledge retrieval, spreadsheet automation, system integration using n8n, and privacy and AI monitoring practices.

After completing the course, students will be knowledgeable about AI for task automation, operational improvement, and business decision-making support.

Skills you’ll learn

Large Language Models in Business (ChatGPT, Gemini, Claude) : Understand how modern AI models are used in real business environments and daily workflows.
Prompt Writing for Professional AI Use : Learn how to write clear, structured prompts to get reliable and useful results from AI tools.
AI Integration with APIs & Automation : Connect AI tools with applications using APIs and simple automation workflows.
Enterprise AI Applications : Use AI for tasks like document analysis, data processing, and workflow automation.

Students who got hired learning this course

Hear from graduates who have completed our courses.

view more success stories
Successful student from Broadway Infosys Ms. Anjali Jaiswal
Ms. Anjali Jaiswal

Front - End Developer

Mega Web Link Pvt. Ltd.

College/Faculty
Cosmos College Of Management & Technology / Computer Science
Successful student from Broadway Infosys Ms. Ishu Sitikhu
Ms. Ishu Sitikhu

Full Stack Intern

Click Point Innovations Pvt. Ltd.

College/Faculty
New Summit College / Bsc.CSIT
Successful student from Broadway Infosys Mr. Amit Raman Poudel
Mr. Amit Raman Poudel

Admin Officer

Darshan Tech Pvt. Ltd.

College/Faculty
Navodit College / Bachelor In Health
Successful student from Broadway Infosys Mr. Dipesh Giri
Mr. Dipesh Giri

Jr. Software Engineer

Caclgen Nepal

College/Faculty
Tribhuvan University / BCA

Our graduates are hired by 470+ companies in Nepal

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Our syllabus outlines are only the headlines of the major modules. To ensure a complete understanding of the course, we offer free counseling. Also, if you have specific modules in mind, you can customize the course. Send your inquiry today!

Lesson 1: AI Agent Essentials

  • Transitioning from "Rule-Based" logic to "Reasoning-Based" autonomous agents
  • Why GPUs (NVIDIA) are required for parallel AI processing versus standard CPUs
  • Small Language Models (SLMs), Agent-to-Agent (A2A) protocols, and 2026 orchestration techniques
  • LLM basics and alternatives, tokens, and context windows
  • Automation, workflows, and AI agents
  • Running open source LLM models locally
  • Intro to Agentic Runtimes like OpenClaw and NemoClaw

  • Mastering GET (fetch data), POST (send data), PUT (update), and DELETE
  • Generating and securing API Keys; understanding Bearer Tokens and headers
  • Reading and structuring the data format used for agent-to-tool communication
  • Basic Intro to Model Context Protocol(MCP)

  • Character: Assigning a specific persona or role
  • Request: Defining the core task clearly
  • Examples: Providing few-shot context for better accuracy
  • Additions: Setting constraints, guardrails, and stylistic requirements
  • Type: Specifying output formats (JSON, Markdown, CSV)
  • Extras: Adjusting tone, reading level, and specific style nuances

  • Chain of Thought (CoT): Forcing agents to "think step-by-step" to solve complex logic
  • Few-Shot vs. Zero-Shot: Deciding when to provide examples versus relying on model pre-training
  • Iterative Refinement: Designing feedback loops for agent self-correction

  • Trigger-Action Logic: Connecting Webhooks, interactive forms, and email triggers to LLMs
  • Tool Integration: Linking agents to Slack, Google Sheets, Airtable, and various CRMs
  • Project 1: Build a Lead Research Agent that uses API keys to fetch, qualify, and store prospect data
  • Analyzing "Runs" to troubleshoot logic errors and prevent infinite loops

  • Differentiating between Sequential (Step A to B) and Parallel (simultaneous) flows
  • Implementing a "Supervisor Agent" to delegate tasks to "Specialist Agents"
  • Build a Content Agency system involving a Researcher, a Writer, and an Editor agent

  • Training agents on private data sources like PDFs, proprietary databases, and SOPs
  • Using Pinecone, Airtable, or built-in tool databases as a "Fact-Checking Brain"

  • Managing short-term conversation threads versus permanent, long-term user profiles
  • Keeping agents efficient and cost-effective without losing vital information
  • Ensuring agents remember progress across multi-step, multi-day tasks

  • Designing agents that can listen, speak, and interact via voice
  • Automating image and video generation inside agent-driven workflows
  • Build a Voice Assistant that utilizes APIs to manage and schedule a Google Calendar

  • Safety Guardrails: Implementing "System Overrides" to block toxic or off-topic outputs
  • Prompt Injection Defense: Techniques to protect agents from malicious user inputs designed to bypass rules
  • PII & Privacy: Best practices for handling Personally Identifiable Information and data encryption
  • Governance: Managing agent reliability and hallucinations in business-critical environments

  • Competitor Analyst Agent
    • Monitors competitor websites and social media platforms
    • Sends daily strategic briefs to Slack
  • Nepse / Stocks Alert System
    • Personalized alerts in WhatsApp or Discord when stock price ranges open
    • Get news updates in Discord for stocks in your portfolio
  • Travel Planner Agent
    • Analyzes weather forecasts and news data for destinations
    • Uses airline live data through Excel integration
    • Plans fuel or EV charging station routes
    • Provides hotel recommendations in Discord or WhatsApp
  • Personal Finance Agent
    • Analyzes daily gold, silver, stock, fuel, and food prices
    • Reviews bank statements, payable and receivable records
    • Sends daily updates through Discord or WhatsApp
    • Email reminders for bills including internet and electricity payments
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Upcoming Classes (5)
17 May 2026
24 May 2026
25 May 2026
31 May 2026
08 Jun 2026
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    • 17 May 2026
    • 24 May 2026
    • 25 May 2026
    • 31 May 2026
    • 08 Jun 2026