21/06/2025
🚀 Admission Open – Generative AI Certification Course
Offered by Aama Tech Online
Are you ready to harness the power of AI? Join our expert-led course designed to empower you with the skills to build and deploy generative AI systems using Python, LangChain, and large language models (LLMs).
📚 Course Title: Foundations of Generative AI and Intelligent Systems Development
🧠 Course Overview
This hands-on course introduces learners to the fast-evolving field of Generative Artificial Intelligence (GenAI). Through a blend of practical coding, theory, and real-world use cases, students will gain fluency in:
Python programming
Large Language Models (LLMs)
Prompt Engineering
LangChain Framework
Retrieval Augmented Generation (RAG)
Ethical AI Design
Emerging technologies like multimodal AI and agentic systems
By the end, participants will be capable of building, deploying, and critically evaluating GenAI applications across business, research, and creative domains.
🎯 Learning Objectives
Build core programming skills using Python and AI data libraries
Understand transformer-based architectures and training workflows in LLMs
Design powerful prompts and optimize LLMs using Prompt Engineering
Create LLM-based apps with LangChain, memory, and agent integration
Implement RAG pipelines and vector search for knowledge-aware systems
Analyze ethical challenges and apply responsible AI practices
Explore frontier tools like multimodal interfaces and self-hosted LLMs
🧩 Course Modules & Duration
Unit 1: Introduction to GenAI & Python Fundamentals (7 hrs)
History of AI & rise of GenAI
Python basics, NumPy, Pandas, Matplotlib
Building FastAPI-powered APIs
Unit 2: Large Language Model Foundations (6 hrs)
Transformer architecture, GPT/BERT/LLaMA
Pretraining vs. fine-tuning methods
Unit 3: Prompt Engineering (8 hrs)
Zero-shot & few-shot techniques
Chain-of-thought and role prompting
Live prompt building workshops
Unit 4: Building with LangChain (8 hrs)
LangChain components, chains, memory, tools
Conversational agents and real-world projects
Unit 5: Retrieval-Augmented Generation (RAG) (8 hrs)
Vector embeddings, Pinecone/Chroma, chunking
Hybrid search, re-ranking, and evaluation metrics
Unit 6: Responsible AI & Ethics (4 hrs)
Bias, privacy, hallucinations
Legal frameworks (e.g., GDPR, AI Act)
Unit 7: Emerging Trends & Customization (4 hrs)
Multimodal & agentic systems
Self-hosting and fine-tuning LLMs
🔍 Who Should Enroll?
Ideal for:
Aspiring AI developers
Product managers exploring GenAI integration
Academics and researchers
Technical founders and entrepreneurs
Prerequisite: Basic knowledge of Python programming
✅ Enroll Now – Limited Seats Available!
Don't miss your chance to build skills in one of today’s most transformative technologies. For enrollment and inquiries, visit: 🌐 www.aamatechnology.com.np 📩 Or email: [email protected]
