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Agentic AI Training
Agentic AI Course from Prompting to Enterprise AI Automation
Thousands of students have started their careers after getting certified by Broadway Infosys
Updated On: 10/07/2026
Created On: 09/03/2026
Course Overview
Agentic AI training in Nepal at Broadway Infosys teaches you 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 Agentic AI course, students will be knowledgeable about AI for task automation, operational improvement, and business decision-making support.
Why Agentic AI Training?
Real Enterprise AI Skills: Learn how businesses actually use LLM tools like ChatGPT, Gemini, and Claude for automation in industries like telecom and manufacturing.
Advanced Prompt Engineering: Master structured prompting techniques (like the CREATE framework and Chain of Thought) to get precise, reliable AI outputs.
Build Real AI Agents: Gain hands-on experience creating single-agent and multi-agent systems from lead research bots to full content agency workflows.
Workflow Automation: Learn to connect AI to real tools like Slack, Google Sheets, and CRMs using APIs and platforms like n8n.
AI Safety & Governance: Understand critical practices like prompt injection defense, data privacy, and responsible AI deployment in business settings.
Future-Ready Career Skills: Master emerging skills like RAG (Retrieval-Augmented Generation), memory management, and multimodal/voice agents, positioning you at the forefront of the fast-growing agentic AI field.
Success Stories From our Graduates
Hear from graduates who have completed our courses.
College/Faculty: Patan Multiple Campus / BBS
Working At: Nakshatra Advertizing Pvt. Ltd.
Position: Graphics Design Intern
College/Faculty: Navodit College / Bachelor In Health
Working At: Darshan Tech Pvt. Ltd.
Position: Admin Officer
College/Faculty: Shree Gaurishankar Secondary School / Management
Working At: Viewfinders Production
Position: Graphic Designer
College/Faculty: Nava Kshitiz College / BCA
Working At: Ap1 HD Television
Position: IT Assistant
Our graduates are hired by 470+ companies in Nepal
Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
AI For Everyone
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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)
Lesson 2: Advanced Prompt Engineering
- 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
Lesson 3: Single-Agent Systems & Debugging
- 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
Lesson 4: Multi-Agent Orchestration
- 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
Lesson 5: Knowledge & Agentic RAG
- 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"
Lesson 6: Memory & State Management
- 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
Lesson 7: Multimodal & Voice Agents
- 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
Lesson 8: Safety, Security & Ethics
- 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
Lesson 9: Project
- 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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