AI Training in Nepal
Professional AI & Generative AI Certification Program
By Digital Hive Pvt. Ltd.
Course Overview
Artificial Intelligence is transforming every industry—from software development and marketing to healthcare, finance, education, cybersecurity, and business automation. This comprehensive, project-based AI Training in Nepal equips students, professionals, entrepreneurs, and developers with practical skills to build AI-powered applications using Python, Machine Learning, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and modern AI development frameworks.
Unlike traditional AI courses that focus only on theory, this program emphasizes hands-on learning, real-world projects, deployment, and industry-ready skills, reflecting current trends in AI education and application development.
Course Details
| Item | Details |
|---|---|
| Course Name | AI Training in Nepal |
| Organization | Digital Hive Pvt. Ltd. |
| Duration | 4 Months |
| Total Classes | 64+ Sessions |
| Projects | 15+ Industry Projects |
| Mode | Physical & Live Online |
| Skill Level | Beginner to Advanced |
| Language | English + Nepali |
| Certificate | Digital Hive Professional AI Certification |
| Internship | Top performers may receive internship opportunities |
Who Should Join?
- +2 Graduates
- Bachelor’s Students
- IT Students
- Software Developers
- Python Developers
- Digital Marketers
- Data Analysts
- Entrepreneurs
- Business Owners
- Teachers & Trainers
- Working Professionals
- AI Enthusiasts
Prerequisites
No AI experience required.
Basic computer knowledge is sufficient.
Programming experience is helpful but not mandatory.
Learning Outcomes
After completing this course, participants will be able to:
- Write Python programs confidently
- Analyze and visualize data
- Build Machine Learning models
- Develop Deep Learning applications
- Create AI chatbots
- Build AI Agents
- Develop RAG applications
- Integrate OpenAI, Gemini, and open-source LLMs
- Build AI-powered websites
- Deploy AI applications
- Create AI automation workflows
- Build portfolio-ready projects
- Prepare for AI-related jobs and freelancing
Course Curriculum
Module 1
AI Fundamentals
- Introduction to Artificial Intelligence
- History of AI
- AI vs Machine Learning vs Deep Learning
- AI Applications
- AI Terminology
- Types of AI
- AI Workflow
- Ethics & Responsible AI
- Future of AI
- AI Career Roadmap
Module 2
Python Programming
- Installing Python
- VS Code
- Jupyter Notebook
- Variables
- Data Types
- Operators
- Conditions
- Loops
- Functions
- Modules
- File Handling
- Exception Handling
- Object Oriented Programming
- Virtual Environment
- Pip
- Git & GitHub
Mini Projects
Module 3
Data Analysis
- NumPy
- Pandas
- Data Cleaning
- Data Manipulation
- Data Visualization
- Matplotlib
- Plotly
- Seaborn Concepts (optional)
- Exploratory Data Analysis
- Working with CSV
- Excel
- JSON
Projects
Module 4
SQL for AI
- Database Basics
- SQL Queries
- CRUD
- Joins
- Group By
- Aggregate Functions
- Connecting Python with SQL
- AI-ready Data Preparation
Module 5
Machine Learning
- Supervised Learning
- Unsupervised Learning
- Regression
- Linear Regression
- Logistic Regression
- Classification
- Decision Tree
- Random Forest
- Naive Bayes
- KNN
- SVM
- Clustering
- PCA
- Feature Engineering
- Model Evaluation
- Hyperparameter Tuning
- Cross Validation
Projects
- House Price Prediction
- Student Performance Prediction
- Spam Detection
- Customer Churn Prediction
Module 6
Deep Learning
- Neural Networks
- TensorFlow
- Keras
- ANN
- CNN
- Image Classification
- Transfer Learning
- RNN
- LSTM
- NLP Basics
Projects
- Image Classifier
- Face Mask Detection
- Sentiment Analysis
Module 7
Generative AI
- Introduction to LLMs
- GPT
- Gemini
- Claude
- Llama
- Mistral
- Tokens
- Context Window
- Temperature
- AI Hallucinations
- AI Safety
Module 8
Prompt Engineering
- Prompt Structure
- Chain of Thought
- Few Shot Prompting
- Role Prompting
- Structured Output
- Prompt Templates
- Business Prompts
- Marketing Prompts
- Coding Prompts
- Research Prompts
Module 9
OpenAI API Development
- API Keys
- Chat Completion
- Image Generation
- Embeddings
- Structured Output
- Function Calling
- Cost Optimization
- API Security
Projects
Module 10
AI Application Development
- Streamlit
- Gradio
- FastAPI
- REST API
- Authentication
- Deployment
Projects
Module 11
Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector Databases
- FAISS
- ChromaDB
- Pinecone Overview
- Document Loading
- Chunking
- Semantic Search
- PDF Chatbot
- Website Chatbot
Projects
Module 12
LangChain
- Chains
- Memory
- Tools
- Agents
- Prompt Templates
- Output Parsers
- RAG Pipelines
- Multi-step Applications
Module 13
AI Agents
- Agent Fundamentals
- Tool Calling
- MCP (Model Context Protocol)
- LangGraph
- CrewAI
- Multi-Agent Systems
- Planning
- Reasoning
- Agent Workflows
Projects
- Research Agent
- Coding Agent
- Marketing Agent
- HR Assistant
Module 14
AI Automation
- n8n
- AI Workflow Automation
- Email Automation
- WhatsApp Automation
- CRM Automation
- Google Sheets Automation
- AI Assistants
Module 15
Computer Vision
- OpenCV
- Image Processing
- Face Detection
- Object Detection
- OCR
- QR Detection
Projects
Module 16
AI Deployment
- Docker Basics
- Hugging Face Spaces
- Render
- Railway
- VPS Deployment
- Monitoring
- CI/CD Basics
Module 17
Capstone Projects
Students will build complete AI products such as:
- AI Customer Support Chatbot
- AI Resume Analyzer
- AI Interview Assistant
- AI Marketing Content Generator
- AI PDF Assistant
- AI Website Chatbot
- AI Research Assistant
- AI Image Generator
- AI Business Dashboard
- AI Email Assistant
- AI Social Media Generator
- AI Document Search Engine
- AI Voice Assistant
- AI Data Analytics Dashboard
- AI Automation Platform
Tools Covered
- Python
- Jupyter Notebook
- VS Code
- Google Colab
- Git
- GitHub
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- TensorFlow
- OpenCV
- Hugging Face
- OpenAI API
- Gemini API
- LangChain
- LangGraph
- CrewAI
- FAISS
- ChromaDB
- Pinecone (Overview)
- Streamlit
- Gradio
- FastAPI
- Docker
- n8n
- Postman
Bonus Workshops
- Building Your AI Portfolio
- Freelancing with AI
- AI for Digital Marketing
- AI for Business Automation
- AI for Content Creation
- AI for Cybersecurity
- AI Startup Development
- GitHub Portfolio Optimization
- LinkedIn Personal Branding
- Resume & Interview Preparation
Certification Requirements
Participants must:
- Maintain at least 80% attendance.
- Complete all assignments.
- Submit the capstone project.
- Pass the final practical assessment.
Career Opportunities
Graduates can pursue roles such as:
- AI Engineer
- AI Application Developer
- Python Developer
- Machine Learning Engineer
- Prompt Engineer
- LLM Application Developer
- AI Automation Specialist
- AI Product Developer
- Data Analyst
- AI Consultant
- AI Trainer
- AI Research Assistant
- Freelance AI Developer
Why Choose Digital Hive AI Training?
- Industry-oriented curriculum
- Live project-based learning
- Beginner-friendly pathway
- Latest AI topics, including AI Agents, RAG, and LLMs
- Portfolio-focused capstone projects
- Career guidance and interview preparation
- Internship opportunities for outstanding participants
- Certification upon successful completion