Aama Technology

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🚀 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]

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