💻 Course 2
Offered by: CSS Infotech AI Academy
Duration: 8 Weeks | Mode: Hybrid (Self-paced + Weekly Live Sessions) | Certificate: Certificate of Completion
⚙️ Course Overview
This intensive, hands-on course is designed for developers, data engineers, and AI enthusiasts who want to build, fine-tune, and deploy Generative AI applications.
You’ll gain practical experience with Large Language Models (LLMs), LangChain, Vector Databases, and APIs—learning to build real-world chatbots, RAG systems, and AI-powered tools that can integrate seamlessly into web or enterprise applications.
🎯 Learning Outcomes
After completing this course, learners will be able to:
- Understand architectures behind LLMs, GANs, and Diffusion Models.
- Implement Gen AI applications using open-source and commercial APIs.
- Build retrieval-augmented generation (RAG) chatbots.
- Fine-tune language models and manage data pipelines.
- Deploy and monitor AI applications securely in production.
📅 Weekly Module Plan
Week 1 – Introduction to Generative AI and LLMs
- Deep dive into transformer architecture and language models
- Overview of major frameworks (OpenAI, Anthropic, Hugging Face)
Week 2 – Prompt Engineering & Evaluation
- Prompt optimization techniques for text and code tasks
- Evaluating output quality and reducing hallucination
Week 3 – Fine-Tuning and Adapters
- Fine-tuning LLMs using LoRA and PEFT
- Practical session on domain-specific training
Week 4 – LangChain & RAG Systems
- Implementing document-based QA systems with LangChain
- Integrating vector databases (FAISS, Pinecone)
Week 5 – Image and Multimodal Generation
- Overview of Diffusion Models and Stable Diffusion
- Building simple text-to-image interfaces
Week 6 – API Integration and App Development
- Using OpenAI / Gemini / Cohere APIs in applications
- Building chatbot frontends with React or Streamlit
Week 7 – MLOps & Deployment
- Workflow automation and model monitoring
- Hosting AI apps on cloud (Azure, AWS, GCP)
Week 8 – Capstone Project & Presentation
- Team-based Gen AI project
- Final demo and feedback session
🧰 Tools & Technologies Used
- Python / PyTorch / TensorFlow
- LangChain / LLM APIs (OpenAI, Gemini, Cohere)
- FAISS / Pinecone / Chroma for vector databases
- Streamlit / Flask for application development
- GitHub / Colab for project collaboration
👥 Who Should Attend
- Software developers and data engineers interested in Gen AI implementation
- ML practitioners seeking hands-on deployment skills
- Tech students and researchers aiming to specialize in AI
🧾 Assessment & Certification
- Weekly assignments and one capstone project
- Completion of all modules earns a Certificate of Completion from CSS Infotech AI Academy
🚀 Call to Action
Build the Future with Code and AI!
Join the Generative AI for Technical Practitioners program and gain skills to create intelligent applications.
👉 [Enroll Now] | 📥 [Download Brochure]
Would you like me to move on to Course 3: Generative AI for Digital Marketers & Content Creators next?
