Applied Generative AI & Agentic AI Course in Indore
Architect Autonomous Agent Networks, Enterprise RAG Pipelines & Fine-Tuned Foundation Models. Master practical enterprise skills, real-time cloud labs, and direct placement drives across Indore's top tech hubs.
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Why Master Applied Generative AI & Agentic AI in Indore?
Indore is home to rapidly expanding tech hubs, global capability centers (GCCs), and enterprises investing heavily in Applied Generative AI & Agentic AI.
Indore Tech Corridors
Direct access to recruitment cycles across premier IT parks including Crystal IT Park, Super Corridor IT Hub, Electronic Complex Pardesipura. Leading employers actively hiring include TCS Indore, Infosys SEZ, Impetus Technologies, Yash Technologies, Worldpay.
Indore Salary Benchmarks
Industry packages reflecting current 2026 enterprise demand in Indore:
Dedicated Physical Center
Indore Vijay Nagar & AB Road Campus
Vijay Nagar, AB Road, Indore, Madhya Pradesh - 452010
🚇 Nearest Metro: Vijay Nagar Square / BRTS Corridor
📞 Helpline: +91 93117 65521
Industry Aligned Curriculum
Engineered in collaboration with enterprise technical leaders. Every module incorporates theoretical rigor, live coding labs, and a portfolio deliverable.
Module 01: Foundation Models, Transformer Internals & Prompt Engineering
6 Weeks • 65 Hours- Self-Attention & Multi-Head Attention mechanisms
- Positional encodings (RoPE, ALiBi) & tokenization
- Directional stimulus prompting & ReAct principles
- Structured JSON output enforcement with Pydantic
Module 02: Enterprise Retrieval-Augmented Generation (Hybrid RAG)
7 Weeks • 75 Hours- HNSW vs. IVF-PQ vector indexing & partition filtering
- BM25 hybrid search with Reciprocal Rank Fusion (RRF)
- Cross-Encoder reranking with Cohere & BGE-Reranker
- Self-RAG retrieval reflection & evaluation with TruLens
Module 03: Agentic Workflows & Multi-Agent Collaboration Networks
6 Weeks • 70 Hours- LangGraph state machines, cyclical graphs & memory checkpoints
- CrewAI hierarchical & sequential agent orchestration
- Tool calling with function schemas & sandbox execution
- Human-in-the-loop audit approvals & fallback handlers
Module 04: Open-Weight Model Fine-Tuning, LoRA/QLoRA & LLMOps
5 Weeks • 70 Hours- Parameter-Efficient Fine-Tuning (LoRA / QLoRA 4-bit/8-bit)
- Instruction tuning dataset preparation & synthetic data generation
- High-throughput inference clustering with vLLM & TensorRT-LLM
- NeMo Guardrails, LLM evaluation metrics & Prometheus monitoring
Production Capstone Live Projects
Build production-grade systems during your specialization that demonstrate verified architecture competence to tech interviewers.
Multi-Agent Autonomous Research & Fact-Checked Report Engine
Architect a 5-node state graph in LangGraph that queries live search APIs, synthesizes disparate technical filings, validates factual claims against knowledge graphs, and compiles executive markdown briefings with 0% hallucinations.
Enterprise Hybrid Multi-Hop RAG with Real-Time Data Connectors
Build a production-grade retrieval pipeline combining dense vector embeddings (Qdrant), sparse lexical search (BM25), and cross-encoder reranking over 100,000+ proprietary enterprise documents with sub-120ms latency.
Domain-Specific LLM QLoRA Fine-Tuning & High-Throughput vLLM Cluster
Curate a high-quality domain dataset, fine-tune Llama 3 8B using 4-bit QLoRA with Unsloth on dedicated cloud GPUs, and serve the model behind an OpenAI-compatible vLLM endpoint protected by NeMo safety guardrails.
Upgrade Your Skills, Unlock New Opportunities
Explore 8 specialized executive tech tracks in Indore with dedicated offline classrooms, hands-on cloud labs, and direct campus placement drives.
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4Achievers Indore Learning Campus
Visit our state-of-the-art learning facility in Indore to meet industry mentors, review curriculums, and observe live training classes.
Campus Highlights & Facilities
- ✓ Dedicated GPU-enabled cloud lab sandboxes
- ✓ High-speed optical fiber WiFi & collaborative breakout pods
- ✓ 1-on-1 offline mentorship & architecture review rooms
- ✓ Placement cell interview prep & mock coding booths
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Frequently Asked Questions (Indore)
Direct, transparent answers regarding batch modes, campus facilities, and placement support in Indore.