🌟 Why Generative AI Skills Matter

GenAI is reshaping how we code, design, communicate, and create. It boosts productivity and creates new job categories. Knowing GenAI is no longer optional—it's essential.

📌 Core Generative AI Technologies

• Large Language Models (GPT, Claude, Gemini)
• Multimodal Models (e.g., GPT-4o)
• Vector Databases (Pinecone, Weaviate)

DSMP: Covered under Module 3.4 – Prompt Engineering, LLM APIs

💡 Use Cases in Industry

• Code generation and review
• Marketing content and copywriting
• Customer support via AI agents

DSMP Labs simulate real-world AI productivity tools and use cases

🛠️ Tools to Master

• OpenAI API, LangChain, LlamaIndex
• Python, Streamlit, FastAPI
• PromptLayer, Replicate, HuggingFace

Mapped: DSMP AI Stack (Module 3.4, 4.2)

🧠 Prompt Engineering Skills

• Role-based prompts, chain-of-thought, few-shot examples
• System messages, prompt tuning techniques

Practiced in DSMP Prompt Engineering Bootcamp

🌍 Global AI Career Opportunities

• AI Application Developer, AI Trainer
• LLM Integrator, AI Solutions Architect
• Prompt Engineer, RAG Developer

DSMP modules are aligned with these career roles

📚 Certification & Learning Path

• DeepLearning.AI: GenAI Specialization
• IBM GenAI Engineer Certificate
• DSMP prepares through project-led skill building

📦 Real-World Projects in DSMP

• Build AI chatbots with memory + feedback
• GenAI UI/UX design and deployment using Streamlit
• Build RAG-enabled applications with Pinecone

🔗 Integration with Other Skills

• Integrate GenAI into Full Stack Apps (Next.js, Node.js)
• Merge AI with DevOps workflows (GitHub Actions + PromptOps)

Mapped: DSMP 4.0 – AI + Dev Full Cycle

🚀 DSMP + Generative AI = Future-Proof

• Mapped technologies: GPT-4, LangChain, Pinecone, Whisper, LlamaIndex
• Mentor-driven learning, hands-on apps, prompt assessments
• Global certification + freelance + job-ready projects