Overview
Built for practical GenAI careers
This individual certificate course from Deepsoft AI is delivered through live interactive sessions across 40 hours, combining guided instruction, practical implementation, and a certificate on completion for learners building applied GenAI and data science capability.
Who it’s for
Students, working professionals, developers, data scientists, researchers, AI enthusiasts.
Tools you will use
Python, NumPy, Pandas, Matplotlib/Seaborn, Scikit-learn, PyTorch, Hugging Face/BERT, LangChain, LangGraph, Vector Databases, GPT APIs, Prompt Engineering, LIME/SHAP.
Highlights
Why learners choose this program
A focused, industry-aligned learning path that balances fundamentals, modern GenAI workflows, and production-aware practices.
Live Interactive Sessions
Instructor-led sessions with direct guidance, discussion, and practical walkthroughs.
Hands-on Projects
Build applied exercises that reinforce concepts through implementation.
Real-world Case Studies
Learn from enterprise-relevant scenarios grounded in current AI adoption patterns.
Industry-Relevant Skills
Develop capabilities aligned to data, ML, LLM, RAG, and agentic AI workflows.
Certificate on Completion
Receive a completion certificate for the full 40-hour program.
Doubt Support
Get help when you need clarification so learning momentum stays strong.
Curriculum
A structured path from foundations to capstone
8 modules across 40 hours: Python Foundations, Statistics & ML, Deep Learning & NLP, Generative AI, RAG, Agentic AI, LLMOps & Responsible AI, and a Capstone.
Python Foundations
Build core Python fluency for data handling, scripting, and problem solving used throughout the program.
Statistics & ML
Learn statistical thinking, supervised and unsupervised learning, and model evaluation fundamentals.
Deep Learning & NLP
Move into neural networks, PyTorch workflows, and natural language processing foundations.
Generative AI
Understand LLM concepts, prompt engineering, GPT APIs, and modern GenAI application patterns.
RAG
Design retrieval-augmented generation systems using vector databases, embeddings, and knowledge workflows.
Agentic AI
Build agent workflows with LangChain and LangGraph, including orchestration patterns for autonomous systems.
LLMOps & Responsible AI
Cover evaluation, monitoring, explainability with LIME/SHAP, and responsible deployment practices.
Capstone
Apply the full stack in a final project that brings together data science, GenAI, RAG, and agentic workflows.
Pricing & checkout
Trainings is the individual certificate course for learners. Academy is designed separately for enterprise team training and custom enablement.
Individual certificate course
Generative AI Engineer & Data Scientist
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- 40-hour live interactive delivery
- Hands-on projects and case studies
- Certificate on completion
- Doubt support throughout the program
- Checkout-ready enrollment flow
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