Now Enrolling6 Months
Master
Agentic AI
Build
Learn to design, build, and deploy AI agents that think, plan, and execute. From prompt engineering to multi-agent orchestration.
100% Placement
Personalized Path to Employment
Flexible Payment
EMI options available
AI Certifications
LangChain + OpenAI
Flexible Schedule
Weekday & weekend batches
0+
Students Placed
0
Industry Tools
0
Month Program
0
Capstone Projects
Built For
Is This You?
For builders who want to create the next generation of AI applications.
Software Developers
You already code. Now learn to build AI agents that automate complex workflows, reason through problems, and interact with APIs autonomously.
Data Scientists
Take your ML skills to the next level. Build agents that combine your models with real-world decision-making and tool usage.
AI Enthusiasts
You've used ChatGPT. Now learn to build systems like it. From prompt engineering to multi-agent orchestration.
Product Managers
Understand what's possible with agentic AI so you can design better products and lead AI-first teams.
Why Us
Why Choose Linkway Learning?
Upskilling from Linkway gives you an unfair advantage by placing you ahead of the curve.
AI-First Curriculum
Specially designed curriculum keeping AI in focus to boost efficiency, and inculcate deep subject understanding.
Real-World Interviews
On demand mock interviews with actual tech company hiring managers to prepare you for the toughest questions.
Industry Vetted Curriculum
Targeted training for Agentic AI, Multi-Agent Systems, and LLM applications at the standards expected by top tech giants.
Expert Mentors & Instructorship
Get trained by industry experts from top tech companies globally, tailored to your career goals.
360° Career Support
From technical skills to salary negotiation - we guide you every step, with 400+ recruiter connections.
Small Batches, Better Learning
Learn in a limited batch size for focused preparation & understanding with personalised attention.
Curriculum
Your Learning Journey
24 weeks of intensive, hands-on training. Click each phase to explore.
Weeks 1–4Weeks 5–9Weeks 10–14Weeks 15–19Weeks 20–24
01
Prompt Engineering Foundations
Weeks 1–4
Prompt DesignOpenAI APIFew-shotCoT
What you'll learn
01
Prompt design principles - zero-shot, few-shot, chain-of-thought, role-based prompting
02
LLM fundamentals - tokens, temperature, context windows, model selection
03
OpenAI API mastery - completions, chat, embeddings, function calling
04
Prompt optimization - iterative refinement, evaluation metrics, A/B testing prompts
phase_01.py
LIVE
1# Chain-of-thought prompting
2from openai import OpenAI
3
4client = OpenAI()
5response = client.chat.completions.create(
6 model="gpt-4",
7 messages=[{"role": "system",
8 "content": "Think step by step..."}]
9)
10>>> Reasoning: 3 steps identified
11
4 modules
Topics Covered
4 tools
Tools Used
4 weeks
Duration
5 phases·24 weeks·Agent ready
Modules
What You'll Learn
A comprehensive, hands-on curriculum covering every layer of the agentic AI stack.
Module 1
Python & AI Foundations
- Python advanced - decorators, generators, async/await
- Object-oriented design patterns
- API design with FastAPI & Flask
- Working with LLM APIs - OpenAI, Anthropic
- JSON parsing, error handling & retry logic
- Environment setup - Docker, virtual environments
Module 2
LLM Engineering
- Transformer architecture deep dive
- Prompt engineering - chain-of-thought, few-shot
- Fine-tuning strategies - LoRA, QLoRA, PEFT
- Token management & context window optimization
- Embedding models & vector databases
- Evaluation frameworks - BLEU, ROUGE, human eval
Module 3
RAG Systems
- Document loaders & text chunking strategies
- Vector stores - Pinecone, Weaviate, ChromaDB
- Retrieval strategies - hybrid, re-ranking, MMR
- RAG pipeline architecture & optimization
- Multi-modal RAG - images, tables, PDFs
- Production RAG - caching, monitoring, evaluation
Module 4
Agent Frameworks
- LangChain - chains, agents, tools, memory
- LangGraph - stateful multi-step workflows
- CrewAI - multi-agent collaboration
- AutoGen - conversational agent systems
- Custom tool creation & function calling
- Agent evaluation & debugging
Module 5
Multi-Agent Systems
- Agent communication protocols
- Task decomposition & orchestration
- Hierarchical agent architectures
- Shared memory & state management
- Conflict resolution & consensus
- Multi-agent debugging & observability
Module 6
Production & Deployment
- Agent deployment with Docker & Kubernetes
- API gateway & rate limiting
- Monitoring - LangSmith, Weights & Biases
- Cost optimization & token budgeting
- Security - prompt injection defense, guardrails
- CI/CD for AI applications
6 Modules·36+ Topics·24 Weeks·15+ Tools
Tech Stack
13+ Tools You'll Master
PythonLLangChain
OOpenAI
Docker
AWSPPinecone
CChromaDB
PythonLLangChain
OOpenAI
DockerAWSPPinecone
CChromaDB
FastAPISStreamlit
LLangSmith
GitVVS Code
JupyterFastAPISStreamlit
LLangSmith
GitVVS Code
Jupyter{ }=>0x//[]()</>&&>>AI::λΣ
Hands-On
Projects You'll Ship
Production-grade agentic AI projects that become your portfolio.
01
Advanced
Intelligent Research Agent
Build an autonomous research agent that searches the web, synthesizes information from multiple sources, and generates comprehensive reports.
LangChainOpenAIRAG
Auto-generates 1,800-word research reports from 5+ sources
02
Capstone
AI-Powered Code Assistant
Create a coding agent that understands codebases, generates code, writes tests, and debugs issues autonomously.
PythonGPT-4LangChain
Finds and fixes bugs across entire codebases autonomously
03
Capstone
Multi-Agent Support System
Design a multi-agent system with specialized agents for routing, answering, and escalating customer queries.
Multi-AgentRAGFastAPI
Handles 500+ queries/day with 94% resolution rate
04
Intermediate
RAG-Powered Knowledge Base
Build a retrieval-augmented generation system that answers questions from company documents with cited sources.
ChromaDBLangChainOpenAI
Answers from 10K+ docs with source citations in <2s
agent_orchestrator.py
Active Agents
4
runningTasks Done
847
+124 todayAvg Latency
1.2s
-0.3sToken Cost
$0.12
-18%Agent Pipeline
LIVE01
Planneractive
02
Researcheractive
03
Analyzeridle
04
Writeractive
Memory Usage
Short-term78%
Long-term45%
Episodic62%
Semantic34%
Total tokens: 124,847
Context window: 78% used
4Agents
12+Tools
3RAG Pipes
100%Portfolio
Outcomes
Where You'll End Up
AI Engineer
10–20 LPA
Prompt Engineer
8–16 LPA
LLM Developer
12–22 LPA
AI Solutions Architect
15–25 LPA
ML Engineer
10–18 LPA
AI Product Manager
12–20 LPA
Expected Salary Range
₹10–20 LPA
100% Placement
Personalized Path to Employment
LangChain & OpenAI Certifications
Industry-recognized AI credentials
Industry-Recognized Credentials
Earn Certificates
That Actually Matter
Not just paper credentials. Our certifications are recognized by 400+ hiring partners and validate the skills that top employers are actively searching for.
Verified Digital CredentialLinkedIn ReadyQR VerificationGlobally Accepted
0+
Certificates Issued
0%
Career Growth
0+
Hiring Partners
0+
Countries
Microsoft Certified
Linkway Learning
LinkedIn ReadyShare Instantly
Transform Your Career Today
Ready to Level Up Your Career?
Join professionals who've launched their careers with Linkway Learning. Gain job-ready skills and step into high-demand roles today.
Flexible Learning
Learn while working
Expert Mentors
FAANG professionals
Certified Program
Microsoft accredited
100% Placement
Personalized Path to Employment
Certificate Includes
Free career counseling session
Lifetime access to learning materials
20% scholarship for early birds
Alumni network access
0
Average Rating
0+
Happy Students
0+
Hiring Partners
0%
Avg Salary Hike
FAQ
Common Questions
You should be comfortable with Python programming. Some exposure to ML concepts helps but isn't required - we cover the AI fundamentals you need.
Success Stories
What Learners Say About Us
Join hundreds of engineers who've built production AI agents with Linkway Learning.
2 yrs exp.
“I knew Python, but building autonomous agents was another world. Linkway bridged that gap. Now I'm designing multi-agent systems at Microsoft.”
HV
Harsh Vardhan
Backend Dev → AI Engineer, Microsoft
1.5 yrs exp.
“As a PM, I needed to understand what AI agents could actually do. This program gave me hands-on experience building them. Swiggy promoted me to lead their AI product team.”
SK
Sneha Kulkarni
Product Manager → AI Product Lead, Swiggy
2 yrs exp.
“Testing software taught me to think systematically. Linkway taught me to apply that to prompting LLMs. Google hired me as a prompt engineer - still feels surreal.”
RM
Rahul Menon
QA Engineer → Prompt Engineer, Google
1 yr exp.
“Writing taught me to communicate clearly. Linkway taught me to communicate with LLMs. Now I architect AI agent solutions at Infosys.”
DS
Divya Sharma
Content Writer → AI Solutions Architect, Infosys
2.5 yrs exp.
“Data analysis was my comfort zone. Linkway pushed me into LangChain, RAG, and fine-tuning. Zoho hired me to build their internal AI tools.”
AP
Akash Patel
Data Analyst → LLM Developer, Zoho
1 yr exp.
“Fresh grad with no industry experience. The projects at Linkway - building RAG pipelines, multi-agent orchestrators - got me hired at Razorpay on day one.”
TR
Tanvi Reddy
CS Graduate → AI Agent Developer, Razorpay
2 yrs exp.
“I knew Python, but building autonomous agents was another world. Linkway bridged that gap. Now I'm designing multi-agent systems at Microsoft.”
HV
Harsh Vardhan
Backend Dev → AI Engineer, Microsoft
1.5 yrs exp.
“As a PM, I needed to understand what AI agents could actually do. This program gave me hands-on experience building them. Swiggy promoted me to lead their AI product team.”
SK
Sneha Kulkarni
Product Manager → AI Product Lead, Swiggy
2 yrs exp.
“Testing software taught me to think systematically. Linkway taught me to apply that to prompting LLMs. Google hired me as a prompt engineer - still feels surreal.”
RM
Rahul Menon
QA Engineer → Prompt Engineer, Google
1 yr exp.
“Writing taught me to communicate clearly. Linkway taught me to communicate with LLMs. Now I architect AI agent solutions at Infosys.”
DS
Divya Sharma
Content Writer → AI Solutions Architect, Infosys
2.5 yrs exp.
“Data analysis was my comfort zone. Linkway pushed me into LangChain, RAG, and fine-tuning. Zoho hired me to build their internal AI tools.”
AP
Akash Patel
Data Analyst → LLM Developer, Zoho
1 yr exp.
“Fresh grad with no industry experience. The projects at Linkway - building RAG pipelines, multi-agent orchestrators - got me hired at Razorpay on day one.”
TR
Tanvi Reddy
CS Graduate → AI Agent Developer, Razorpay
Your Journey
Your Career Growth Roadmap
A proven 4-step path to take you from upskilling to your dream job
1
Profile Power-Up
Stand out with a sharp resume, optimized LinkedIn/GitHub, and a strong personal brand.
2
Interview Readiness
Ace every round with 1:1 mock interviews, role-specific training, and actionable feedback.
3
Hiring Rounds
Apply to 200+ hiring partners and clear technical interview rounds with confidence.
4
Offer Unlocked!
Land a high paying job offer from top product-based companies.
Join 12,000+ professionals who transformed their careers and landed roles at world-class companies.
Google
Flipkart
Microsoft
Deloitte
> accenture
Infosys
Google
Flipkart
Microsoft
Deloitte
> accenture
Infosys
Google
Flipkart
Microsoft
Deloitte
> accenture
Infosys
Trusted by
Google
Flipkart
Microsoft
Deloitte
> accenture
Infosys