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1200+ Students enrolled in the course
458 Reviews
Generative AI for Developers
Delivery Mode
Theory
Lab Based
Online Live Class
Recorded Video
AI-Powered Frontend Development is designed for beginners who want to build modern, responsive, and interactive websites using HTML, CSS, JavaScript, Tailwind CSS, and React. Learn to leverage AI tools for faster development and build real-world projects for job and freelancing opportunities.
4 Months
Course Duration
15+
Industrial Project
32
Classes
Exclusive Solutions That Set Us Apart :
Review Class
Practice Lab Support
Class Videos
Job Preparation Support
Key Highlights :
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•
Fundamentals of Generative AI, LLMs, Tokens & Context Window
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Prompt Engineering (Zero-shot, Few-shot, Chain-of-Thought) & Tool Calling
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Retrieval-Augmented Generation (RAG), Vector Embeddings & Advanced RAG Techniques
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Agentic AI with LangGraph, Multi-Agent Systems & Human-in-the-Loop
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MCP (Model Context Protocol), Generative UI & Production-ready AI Applications
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Complete hands-on projects including AI Chatbot, Business Assistant, Multi-Agent System & Capstone Product
Class Structure & Distribution of Total 32 Classes:
(For Offline Course)
Offline Class - Onsite in Campus: 32 Class
On Campus (Theory)
32 Classes - Per Class 2 Hrs
On Campus (Lab)
0 Classes - Per Class 2 Hrs
Extra Online & Recorded Class: 0 Class
Online Extra Live Class
0 Classes - Per Class 1+ Hrs
Required Recorded Videos
0 Classes - Duration Variable
Course PreRequisite:
Desktop / Laptop
JavaScript
High-Speed Internet Connection
This Course is Designed for
(Everyone)
Job seekers
Students
Entrepreneurs
Tech Learners
AI Enthusiasts
Softwares You'll Learn:
(AI Driven)
OpenAI Platform
Node.js
Google Gemini
OpenRouter
Course Outline Structure
Provide required PDF + Class Recordings to ensure the best learning for our students.
6 Modules
32 Classes
17 Projects
25 Topics
32 Resources
Duration: 5 Classes
Focus:
Starting from the basics of Generative AI, covering LLMs, Tokens, Context Windows, Prompt Engineering, and building production-ready LLM services.
Class Type Breakdown:
- Offline (Theory): 5 Classes
Projects Included: 4 Projects
Career Path: Generative AI Developer, LLM Application Developer, AI Backend Developer, Prompt Engineer
Prerequisites: N/A
Key Highlights:
- • What is Generative AI & Introduction to LLM
- • Tokens, Context, Context Window, Inference
- • Zero-shot, Few-shot & Chain-of-Thought Prompting
- • System Prompt, Message Structure & Structured Output
- • Tool Calling & Multi-provider AI Backend Architecture
Projects:
- • Node.js/Express AI Backend Setup
- • Reusable JavaScript LLM Service
- • Production-ready Prompt System
- • Multi-provider AI Service with Model Switching
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | Foundation of Generative AI & LLM |
Class Video
|
| Class 2 | Offline (Theory) | Prompt Engineering |
Class Video
|
| Class 3 | Offline (Theory) | Working with LLMs |
Class Video
|
| Class 4 | Offline (Theory) | Tool Calling |
Class Video
|
| Class 5 | Offline (Theory) | Build your own Chatbot |
Class Video
|
Duration: 3 Classes
Focus:
Learn Practical RAG Systems by Building Vector Embeddings, Vector Stores, and a Company Internal Chatbot.
Class Type Breakdown:
- Offline (Theory): 3 Classes
Projects Included: 2 Projects
Career Path: RAG Developer, AI Application Developer, Knowledge Base Engineer, AI Solutions Developer
Prerequisites: Module-1
Key Highlights:
- • Introduction to RAG
- • Document Loading, Chunking & Embedding
- • Vector Indexing & Retrieval
- • Validated Structured JSON Response
Projects:
- • AI Business Assistant API
- • Company Internal Chatbot using RAG
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | Retrieval-Augmented Generation (RAG) |
Class Video
|
| Class 2 | Offline (Theory) | Company Internal Chatbot using RAG Part-1 |
Class Video
|
| Class 3 | Offline (Theory) | Company Internal Chatbot using RAG Part-2 |
Class Video
|
Duration: 5 Classes
Focus:
Learn Agentic AI Frameworks by Building Custom Graphs, Adding Memory, and Connecting AI Assistants with Real-World Applications.
Class Type Breakdown:
- Offline (Theory): 5 Classes
Projects Included: 3 Projects
Career Path: AI Agent Developer, Agentic AI Engineer, AI Automation Developer, LLM Application Engineer
Prerequisites: Module-2
Key Highlights:
- • Agentic AI Overview & Use Cases
- • LangChain vs LangGraph
- • Custom Graph Implementation & Visualization
- • Terminal UI & Memory for Agents
- • Real-time Streaming AI Response
Projects:
- • Multi-tool AI Assistant
- • AI Assistant connected to real application
- • Project 2: AI-Powered Business/Operations Assistant
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | Agentic AI & Frameworks |
Class Video
|
| Class 2 | Offline (Theory) | Build Custom Graphs with LangGraph |
Class Video
|
| Class 3 | Offline (Theory) | Personal Assistant with Google Calendar Part-1 |
Class Video
|
| Class 4 | Offline (Theory) | Personal Assistant with Google Calendar Part-2 |
Class Video
|
| Class 5 | Offline (Theory) | Personal Assistant with Google Calendar Part-3 |
Class Video
|
Duration: 7 Classes
Focus:
Learn Advanced RAG Techniques, Agent Observability, Multi-Agent Architecture, and Build Production-Ready RAG Pipelines.
Class Type Breakdown:
- Offline (Theory): 7 Classes
Projects Included: 3 Projects
Career Path: Advanced RAG Engineer, AI Systems Engineer, Multi-Agent AI Engineer, AI Platform Engineer
Prerequisites: Module-3
Key Highlights:
- • Agent Observability (LangSmith & Langfuse)
- • 2-step RAG, Agentic RAG & Hybrid RAG
- • Multi-Agent System with Supervisor Agents
- • Human-in-the-Loop with Interrupts
- • PostgreSQL + pgvector Semantic Search
Projects:
- • Knowledge Base RAG System
- • First Autonomous AI Agent
- • Production-style Multi-Agent Workflow
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | Agent Observability |
Class Video
|
| Class 2 | Offline (Theory) | Advanced RAG |
Class Video
|
| Class 3 | Offline (Theory) | Project Using RAG |
Class Video
|
| Class 4 | Offline (Theory) | Multi-Agent System |
Class Video
|
| Class 5 | Offline (Theory) | Multi-Agent System Project |
Class Video
|
| Class 6 | Offline (Theory) | Multi-Agent System Project |
Class Video
|
| Class 7 | Offline (Theory) | Human-in-the-Loop |
Class Video
|
Duration: 7 Classes
Focus:
Build Generative UIs, Develop Local & Remote MCP Servers/Clients, and Create Advanced Multi-Agent Systems.
Class Type Breakdown:
- Offline (Theory): 7 Classes
Projects Included: 3 Projects
Career Path: AI Product Developer, MCP Developer, AI Agent Engineer, Generative AI Application Developer
Prerequisites: Module-4
Key Highlights:
- • Generative UI Project
- • MCP Architecture & Local MCP Server
- • Remote MCP Server & Debugging
- • MCP Client Development
- • Multi-Agent Research System
Projects:
- • AI Agent Business Assistant
- • Human-in-the-Loop AI Agent System
- • Multi-Agent Research System
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | Generative UI Project |
Class Video
|
| Class 2 | Offline (Theory) | Generative UI Project |
Class Video
|
| Class 3 | Offline (Theory) | Generative UI Project |
Class Video
|
| Class 4 | Offline (Theory) | Working with MCP |
Class Video
|
| Class 5 | Offline (Theory) | Build Local MCP |
Class Video
|
| Class 6 | Offline (Theory) | Build Remote MCP |
Class Video
|
| Class 7 | Offline (Theory) | Build MCP Client |
Class Video
|
Duration: 5 Classes
Focus:
Building a complete AI product, including cost monitoring, automated evaluation, and live deployment as a final capstone project.
Class Type Breakdown:
- Offline (Theory): 5 Classes
Projects Included: 2 Projects
Career Path: Generative AI Engineer, AI Product Engineer, AI Full Stack Developer, AI Solutions Engineer, Generative AI Application Developer
Prerequisites: Module-5
Key Highlights:
- • Secure & Fault-tolerant AI API
- • AI Cost + Usage Monitoring System
- • Automated GenAI Evaluation/Test Suite
- • Complete AI Product Development
- • Live Deployment + Portfolio + Technical Presentation
Projects:
- • Complete AI Product
- • Live Deployed AI Product + Portfolio
| Class No. | Class Type | Topic/Lesson | Resource Type |
|---|---|---|---|
| Class 1 | Offline (Theory) | Build a Next Gen AI Image Editor |
Class Video
|
| Class 2 | Offline (Theory) | Build a Next Gen AI Image Editor |
Class Video
|
| Class 3 | Offline (Theory) | Build a Next Gen AI Image Editor |
Class Video
|
| Class 4 | Offline (Theory) | Build a Next Gen AI Image Editor |
Class Video
|
| Class 5 | Offline (Theory) | Build a Next Gen AI Image Editor |
Class Video
|
Admission Is Going On
Enroll now to any of our Offline Courses (On- Campus)
Course Fee Offline
BDT. 30000
Online (Live Class) courses as per your suitable time.
Course Fee Online
BDT. 15000
Course Related FAQ
Answer : No. We Don't. We will not make you earn, but we can make you capable of earning. Earning will depend entirely on your subject-specific knowledge, skills, and qualifications. We will help you with training and proper guidance on specific courses, related marketplaces, and how to get jobs in the marketplace. You have to make your earning journey smooth by sharpening your skills through time, effort, and patience. And how much you earn will depend on how much effort and time you put into your job. And remember one thing; freelancing is not the only option for earning money. You can also earn by hunting local clients, doing remote jobs, or running your own business.
Answer : Please click on this link to register for the seminar https://www.creativeitinstitute.com/free-seminar You will be notified regarding the date and time through a phone call before the seminar.
Answer : We conduct live classes in online courses via Zoom. We only provide important class records so that our students can watch the videos again and again until they understand the topic thoroughly. In addition, we also provide backup support in case any problem arises further.
Answer : Please bring a recent copy of your passport-size photo, your NID/ birth certificate, and one of your academic certificates (S.S.C/ H.S.C).
Answer : By taking an offline course you learn on campus and get the opportunity to interact better with the mentors. Besides, you can use our practice lab to complete the given tasks offline. Our extra facilities include 24/7 online support, discussion classes, backup support for the students, internship opportunities and career placement facilities. We ensure your best learning experience in your journey with CIT and push you ahead in your career path.
Answer : Yes, you will receive a certificate if you successfully complete the course. You can also get a certification from the Govt Board of Technical Education by attending an assessment exam.
Answer : Earning depends on your own subject skills and qualifications. At the end of the course, we refer our students to various companies through our Career Placement Department. If you attend classes regularly and complete the course with all the projects and exams, you have a great chance of getting a job after the course through our career placement department.
Course Services
Backup Class
A Backup Class is a special facility where students can revisit lessons missed due to illness or emergencies. It helps maintain learning continuity and ensures that students’ progress is not interrupted. However, the number of backup classes may vary depending on the course. Therefore, it is advisable not to miss classes unless absolutely necessary.