Uploaded on Sep 9, 2026
Master Python, Generative AI, LLMs, and RAG with Visualpath's AI Stack Course Online. Build real-world automation skills with hands-on projects. Looking for the best AI Stack Training in Bangalore? Join our live online sessions from anywhere and accelerate your tech career today. Corporate batches available. Call +91-7032290546. WhatsApp: https://wa.me/c/917032290546 Course Info: https://visualpath.in/aistack-online-training.html Visit our Blog: https://visualpathblogs.com/ai-stack
Best AI Stack Course Online | AI Stack Training in Hyderabad
AI Engeering Stack
(From Python Basics to Intelligent AI Systems)
Learn how Python, Generative AI, RAG, LLMs, AI agents, and
LLMOps work together to build modern AI applications.
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1
Python
Programming foundation
What Is the
LLMs
AI Stack? Language intelligence
RAG
A set of technologies used to build AI systems Grounded, useful answers
— each layer performing a distinct role, from
raw code to intelligent, self-directed behavior. AI Agents
Autonomous action
LLMOps
Reliable production systems
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AI Stack Training | Visualpath 2
Start with Python Basics
Core Syntax
Variables, data types, loops, and functions.
Data Structures
Lists, dictionaries, and classes.
Files & APIs Build a strong
Work with files, APIs, and real-world data. foundation before
advanced AI tools.
Libraries
Use Python libraries built for AI development.
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3
Understanding Generative AI
Content Creation Practical Uses
Generative AI can create text, code, and other content. Explore practical, real-world uses of GenAI.
Prompt Processing App Integration
Learn how AI models process user prompts. Connect AI models with Python applications.
Tokens & Context
Understand tokens, context, and model responses.
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4
Large Language Models (LLMs)
What Is an LLM
Understand what an LLM is and how it works.
LLM
Prompts & Context
Learn about prompts and context windows.
Model APIs
Prompt in →
Explore model APIs and integrations.
Context window →
Semantic embeddings →
Embeddings
Generated response
Understand embeddings and semantic meaning.
Applications
Build applications powered by language models.
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5
RAG: Document Loading & Chunking
Connecting Learn document loading and text chunking strategies.
AI with Your Data Embeddings & Vector DBs
Create embeddings and use vector databases.
Retrieval-Augmented Generation
helps AI use information from Question Answering
your own external data sources. Build question-answering systems using your own documents.
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6
Building AI Applications with Frameworks
LangChain Prompt & Logic Management
Use LangChain to connect models, data, and tools. Manage prompts and application logic.
Reusable Workflows Practical Applications
Create reusable AI workflows. Develop practical AI-powered applications.
APIs & Databases
Connect LLMs with APIs and databases.
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AI Stack Training | Visualpath 7
Moving from GenAI to Agentic AI
Intelligent
Python → Gen AI → LLMs → RAG → AI Agents → Systems
Goal-Directed Multi-Step Workflows Autonomy Spectrum
AI agents can work toward a defined goal. They can perform multi-step, sequential Explore autonomous and human-guided
workflows. agents.
Tools & Information Memory & Tool Calling
Agents can use tools and external Learn concepts such as memory and tool
information. calling.
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AI Stack Training | Visualpath 8
Building Multi-Agent AI Systems
Specialized Agents
Create specialized agents for different tasks.
Communication
Learn how agents communicate and collaborate.
Frameworks
Explore frameworks such as LangGraph and CrewAI.
State Management
Manage agent states and workflows.
Structured Systems
Build structured multi-agent applications.
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AI Stack Training | Visualpath 9
Performance Tracking
Track model and application performance.
LLMOps and
AI Deployment Monitoring
Monitor prompts, responses, cost, and errors.
Move AI applications from development
into reliable, real-world use. Versioning & Evaluation
Learn versioning and evaluation concepts.
Reliability
Maintain reliable AI applications over time.
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AI Stack Training | Visualpath 10
AI Stack Tools You Can Explore
AI Stack Layer Tools & Technologies
Programming Python
Generative AI LLMs, Prompt Engineering
AI Frameworks LangChain, LangGraph
RAG Embeddings, Vector Databases
Agentic AI CrewAI, AI Agents
Integration APIs, Tools, Databases
Operations LLMOps, Evaluation, Monitoring
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Why Learn the Complete AI Stack?
Understand AI development from foundation to
Understand how modern AI components connect.
deployment.
Build applications instead of learning isolated tools. Prepare to work on practical, intelligent AI systems.
Develop skills in Python, GenAI, RAG, and agents.
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AI Stack Training | Visualpath 12
Build the foundation with Python. Add intelligence with GenAI. Connect knowledge
with RAG. Create action with AI agents.
Beginners Working Professionals Global Learners Corporate Teams
Visualpath AI Stack Training provides live online learning for beginners, working professionals, global learners, and corporate teams.
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13
Learn AI Engineering Stack with Visualpath
Visualpath provides AI Stack Training designed to move from core concepts to
practical workflows. Learners can explore Python, Generative AI, RAG, LLMs, AI
agents, and LLMOps design through structured learning.
Practical online training
Start building practical
Instructor-led learning
AI Engineering Stack skills with
Real-world exercises and workflows Visualpath.
Learning paths for beginners and professionals
Online learning for global learners
Enroll Today
Corporate training for teams
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