Applied AI
Practitioner Program
Master 35+ AI tools, build real AI products, and work directly with startups — all in 4 months.
In collaboration with IIT Patna
Why this program?
Outcome-driven program designed for professionals
1
Real AI products
Create and deploy your own AI-powered app or workflow using real industry methods.
2Learn the tools top
Learn the tools top
companies use
Master the tools top teams use and learn exactly how to apply them to real business problems.
3Real startup
Real startup
projects.
With AI CoLab Experience work with AI startup and gain hands-on, portfolio-ready experience.
Who can apply?
This program is for professionals looking to integrate AI into their daily work.
*No coding experience needed
🏆
Leaders & Entrepreneurs
- Experience: 5+ years
- Job roles: Managers, Founders, Product Owners
Outcome: Design AI strategies, evaluate tools, and lead AI implementation.
📈
Non-Tech & Business Professionals
- Experience: 1+ years
- Job roles: Marketing, Sales, Operations, Trainers
Outcome: Use AI to automate workflows, generate content, and improve decisions.
🧩
Tech Professionals
- Experience: 1+ years
- Job roles: Developers, Data/ML, QA, Analysts
Outcome: Build AI-powered tools, copilots, and internal applications.
How This Program Helps Your Domain
Discover how your job becomes smarter and more automated with AI
Sales & Marketing Professionals
Challenges Today
- Repetitive campaign tasks
- Slow content turnaround
- Low personalization
- Delayed customer insights
How AI Practitioner Helps
- Generate campaigns, ad copy & visuals instantly
- Automate lead scoring, follow-ups & CRM workflows
- Build brand-aligned scripts, videos & creatives with multimodal AI
- Analyze customer conversations using LLMs for insights
BFSI (Banking, Finance & Insurance)
Challenges Today
- Heavy reporting workload
- Compliance audits take too long
- Manual financial analysis
- Generic customer service
How AI Practitioner Helps
- Build forecasting & budgeting copilots
- Automate compliance checks using RAG on policy documents
- Generate risk summaries using LLMs
- Improve customer support with AI-powered assistants
Healthcare & Medical
Challenges Today
- High documentation load
- Slow administrative workflows
- Fragmented patient data
- Limited workflow automation
How AI Practitioner Helps
- Auto-summarize clinical notes & patient records
- Build triage assistants & smart FAQs
- Automate hospital task flows across departments
- Use RAG to quickly retrieve and analyze medical documents
Manufacturing & Supply Chain
Challenges Today
- Manual demand forecasting
- Slow order & document processing
- Limited real-time visibility
- High dependency on ERP operators
How AI Practitioner Helps
- Build forecasting dashboards using LLMs + BI
- Automate procurement & vendor communication
- Create document-intake copilots for invoices, orders & SOPs
- Improve operational visibility with AI reports
Software Development Professionals
Challenges Today
- Time-consuming debugging
- Repetitive coding & documentation
- Delayed prototyping
- Scattered requirements
How AI Practitioner Helps
- Build AI debugging & code-review assistants
- Auto-generate test cases, API docs & specs
- Create rapid prototypes using no-code + LLM workflows
- Automate tech tasks like sprint grooming & PR summaries
Product Management Professionals
Challenges Today
- Slow market research
- Manual feedback synthesis
- Hard to prioritize features
- Limited rapid experimentation
How AI Practitioner Helps
- Auto-generate research insights using LLMs
- Summarize user interviews into actionable themes
- Build prototype apps without coding
- Use AI to create PRDs, roadmaps & feature briefs
Tools and Platforms You’ll Work With
You will get hands-on exposure to more than 35 tools across LLMs, automation, creative AI, product building, and AIOps.
LLMs
Frameworks & Integrations
Automation & Agents
Creative AI
No-Code App & Dev Tools
Cloud & AIOps
Program Syllabus
A practical, outcome-driven syllabus built to transform how you work with AI
Term 1
AI Reasoning & LLM Workflows
Weeks 1–3- Focus: LLM basics, prompt engineering, RAG, ethics
- Tools: GPT-4, Claude 3, Gemini, LangChain, LlamaIndex, Pinecone/Chroma, Notion AI
- Project: AI Knowledge Assistant that answers from your own documents
- Outcome: Ability to design and control LLM-powered assistants.
Term 2
Generative & Multimodal AI for Content
Weeks 4–5- Focus: text-to-image, video, and audio generation
- Tools: Runway ML, DALL·E 3, Ideogram, Synthesia, ElevenLabs, Leonardo AI, Pika Labs, Kaiber, Gammal
- Project: AI Content Studio for marketing or learning assets
- Outcome: End-to-end creative workflow without manual design
Term 3
Agentic AI & Automation
Weeks 6–7- Focus: agents, automation logic, cross-tool workflows Tools
- Tools: Zapier, Make.com, n8n, Agentive AI, LangGraph, Vapi, CrewAI, OpenDevin, Slack AI, Notion AI
- Project: AI Workflow Co-Pilot for daily reporting and alerts
- Outcome: Ability to automate processes with AI agents and no-code tools.
Term 4
No-Code App Development & Deployment
Weeks 8–9- Focus: turning workflows into usable apps
- Tools: Bubble, Streamlit, FastAPI, Cursor AI, Supabase, Framer, Postman, Replit Ghostwriter, Dust
- Project: AI Assistant Web App with a simple interface for business use
- Outcome: Ability to deliver functional AI web applications for business use
Term 5
AIOps & Monitoring
Weeks 10–11- Focus: performance metrics, drift, governance, dashboards
- Tools: Azure AI Studio, Vertex AI, AWS SageMaker, Hugging Face Spaces, Power BI, Rows, ClickUp Brain,
- Project: AIOps Dashboard tracking accuracy, latency, and cost
- Outcome: Understanding of how to operate AI reliably in production-like setups.
Term 6
AI CoLab Startup Capstone
Weeks 12–14- Focus: live startup problem-solving and product delivery
- Tools: Combination of all previous tools, depending on project
- Project: Real-world capstone with AI startup in HR, FinTech, Marketing, or Operations
- Outcome: Startup Certificate and referenceable, portfolio-ready project.
From Prototype to Portfolio
Build your AI solution, validate it with startup teams, and add a verified project to your portfolio.
Build a Real AI Product
Work With a Startup
Deploy & Showcase Your Work
Dual Certification
Get certified in AI skills that recruiters trust
Certification from IIT Patna
The program is offered in collaboration with Vishlesan I-Hub Foundation, IIT Patna thereby enabling hands-on innovation exposure and real-world AI problem-solving.
AI Startup Certificate
Why it matters:
This serves as proof of your practical experience: you can use AI in the real world to solve actual problems.
Duration: 4 months
Applied AI Practitioner Program
Mode:100% Live Online + AI CoLab Experience
In Collaboration With:
Program Fee
₹ 95,000 + 18% GST
EMI: Available for 3, 6 and 9 months
Frequently Asked Questions
Everything you need to know about the course and curriculum.
This AI practitioner certification program is a 4-month, mentor-led program designed to help learners build end-to-end AI products, co-pilots, and automation systems with real-time AI startup collaboration.
This program applies to both tech and non-tech professionals, leaders, and entrepreneurs. Tech and non-tech professionals with 1 – 10+ years of experience can join the course. In addition, leaders and entrepreneurs with 5 – 10+ years of experience can pursue the course to gain AI expertise.
No. As the program includes low-code and no-code workflows, it is suitable even for non-technical professionals.
The learning modules of this program cover theoretical and practical concepts of AI, empowering learners to build AI products and co-pilots. The course includes 6 terms that start with basic AI reasoning and LLM workflows. Further modules cover GenAI and multimodal AI concepts, agentic AI and automation, app development and deployment, AIOps, and optimization techniques.
By the end of the course, tech and non-tech professionals and entrepreneurs will learn LLM workflows, content creation via GenAI, agentic AI automation, no-code app designing, deployment, and AIOps monitoring.
By the end of this AI Practitioner course, you will master LLMs, RAG, multimodal GenAI, Power BI, no-code builders, vector stores, API integrations, AIOps tools, automation, and deployment workflows.
Yes. The Applied AI program starts with fundamental AI reasoning and LLM basics, which gradually move to Agentic AI, AIOps, and automation workflows.
The Applied AI Practitioner Program allows you to have flexible learning without disrupting your job. You can either opt for 100% live online sessions (online coursework and projects) or choose hybrid mode (online coursework but offline projects). However, it's up to the learners to choose the right learning mode.
The Applied AI Practitioner Program is a 4-month live program including weekday and weekend batches. The course duration encompasses coursework, project work (AI Co-Lab), placement assistance, and certifications
Learners enrolling in the course can avail themselves of a 3-year flexible subscription at Learnbay. It allows you to have unlimited access to learning materials and resources. In short, you can learn at your own pace until you land your dream job.
The Applied AI Practitioner program sets your career apart from others by equipping you with the following benefits -
- Build real-world AI projects
- Work with AI startups
- Master no-code deployments, machine learning, AIOps, and automation
- Earn global certifications in collaboration with IIT Patna Vishlesan I-Hub Foundation
