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Best Generative AI & Agentic AI in
Varanasi

Accelerate your engineering career with 100% placement assurance, high-tech offline laboratory training, 100+ Hours+ hours of intensive live projects, and 1-on-1 mentorship from top architects.

๐ŸŽ“ 100% Placement Guarantee
๐Ÿ’ป High-Tech Computer Labs
๐Ÿ“… Weekday & Weekend Batches
๐Ÿ‘ฅ 500+ Hiring Partners
14 Weeks Duration
100% Job Guarantee
140% Avg Hike
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๐Ÿซ Varanasi Learning Center

4Achievers Varanasi Tech Campus

Experience focused, mentor-led offline learning equipped with state-of-the-art workstations, high-speed internet, dedicated faculty doubt counters, and air-conditioned classrooms.

๐Ÿข Address: Sigra Commercial Complex & Cantt Access Hub, Varanasi, Uttar Pradesh - 221002
๐Ÿš‡ Metro / Transit: Cantt Transit Corridor
๐Ÿ“ Landmark: Central technology and professional education district, Sigra Varanasi
๐Ÿ•’ Center Timings: Monday to Sunday, 8:00 AM โ€“ 8:30 PM (Open All 7 Days)
๐Ÿ“ž Direct Helpline: +91 80108 05666
4Achievers Varanasi Training Center and Labs
Air-Conditioned Labs High-Speed Dev PCs Mock Interview Room Dedicated Doubt Counters
๐ŸŽ“ Enterprise-Aligned Curriculum

Generative AI & Agentic AI Syllabus in Varanasi

Curriculum co-designed with engineering leads from tier-1 MNCs. Click each module below to view detailed topics, live coding projects, and industry tools.

01

GenAI Foundations, Transformer Architectures & LLM APIs

16 Hours

Master the inner mechanics of transformers, self-attention mechanisms, and API architectures for GPT-4o, Claude 3.5 Sonnet, and open-weights models.

Core Technical Topics & Competencies Covered:

  • โœ”Transformer Architecture: Multi-Head Attention, Encoders, Decoders & Tokenization
  • โœ”Working with State-of-the-Art APIs: OpenAI, Anthropic Claude, Google Gemini & Groq
  • โœ”Advanced Prompt Engineering: Few-Shot, Chain-of-Thought (CoT), Tree-of-Thought (ToT)
  • โœ”Structured Outputs: Enforcing JSON Schemas with Pydantic & Instructor
  • โœ”Function Calling: Equipping LLMs with external programmatic tools
  • โœ”Tokenization, Cost Calculations & Latency Benchmarking
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Hands-on Production Lab Project: Building a High-Speed Structured Research & Extraction Bot with Pydantic and GPT-4o.
Technologies & Libraries: Python 3.11OpenAI APIAnthropic ClaudePydanticInstructor
02

Agentic Architectures, LangChain & Tool Use Execution

18 Hours

Transition from passive prompt-response chains to dynamic autonomous agent loops with reasoning engines.

Core Technical Topics & Competencies Covered:

  • โœ”ReAct Pattern: Combining Reasoning and Action in iterative agentic loops
  • โœ”LangChain v0.3 Core: Runnables, LCEL (LangChain Expression Language)
  • โœ”Custom Tool Creation: Web search (Tavily), database querying, Python REPL tools
  • โœ”Agent Memory Architectures: Short-term message history vs Persistent entity memory
  • โœ”Plan-and-Solve Agents: Task decomposition and sequential execution
  • โœ”Error Handling & Graceful Fallbacks in Non-Deterministic AI Loops
๐Ÿ› ๏ธ
Hands-on Production Lab Project: Autonomous Technical Due Diligence Agent with Web Scraping, Code Execution & PDF Output.
Technologies & Libraries: LangChainTavily APIPython REPLChromaDBLCEL
03

Stateful Multi-Agent Workflows with LangGraph

20 Hours

Architect complex, cyclical agent workflows with state machines, human-in-the-loop checkpoints, and branching.

Core Technical Topics & Competencies Covered:

  • โœ”Why LangGraph: Escaping DAG limitations with cyclic graphs & state management
  • โœ”State Definition: TypedDict, Channels, Reducers and State schema validation
  • โœ”Nodes and Conditional Edges: Deterministic vs Dynamic Router transitions
  • โœ”Human-in-the-Loop (HITL): Breakpoints, approval gates, state modification
  • โœ”Time-Travel & Checkpointing: MemorySaver, SQLite, and PostgreSQL persistence
  • โœ”Hierarchical Agent Teams: Supervisor patterns and sub-graph agent orchestration
๐Ÿ› ๏ธ
Hands-on Production Lab Project: Enterprise Multi-Agent Customer Support Swarm with Human Approval Breakpoints and PostgreSQL State.
Technologies & Libraries: LangGraphLangChainPostgreSQLFastAPIUvicorn
04

Role-Playing Agent Swarms with CrewAI & Microsoft AutoGen

18 Hours

Orchestrate specialized multi-agent teams with delegated responsibilities, inter-agent debates, and shared goal alignment.

Core Technical Topics & Competencies Covered:

  • โœ”CrewAI Architecture: Agents, Tasks, Tools, and Hierarchical Crews
  • โœ”Defining Expert Personas: Role, Goal, Backstory & Temperature calibration
  • โœ”Task Delegation & Inter-Agent Communication Protocols
  • โœ”Microsoft AutoGen: ConversableAgent, GroupChat, and GroupChatManager
  • โœ”Code Generation & Sandboxed Docker Execution with AutoGen
  • โœ”Comparative Analysis: When to choose LangGraph vs CrewAI vs AutoGen
๐Ÿ› ๏ธ
Hands-on Production Lab Project: Full-Cycle Autonomous Software Engineering Crew (Product Manager, Architect, Coder, QA Engineer).
Technologies & Libraries: CrewAIAutoGenDockerGitOllama
05

Local Open-Source LLMs & Multimodal Agent Intelligence

14 Hours

Run powerful open-source foundation models locally on edge workstations with private data isolation.

Core Technical Topics & Competencies Covered:

  • โœ”Running Local LLMs with Ollama and vLLM (Llama 3.3, DeepSeek-R1, Qwen 2.5)
  • โœ”Quantization Formats: GGUF, AWQ, GPTQ for consumer GPU efficiency
  • โœ”Multimodal Agents: Vision-Language Models (VLMs), OCR & Diagram Interpretation
  • โœ”Audio & Voice Agents: Whisper API, Text-to-Speech & Real-time WebRTC Agent Loops
  • โœ”Private RAG with Local Vector Stores for High-Security Enterprise Compliance
๐Ÿ› ๏ธ
Hands-on Production Lab Project: Air-Gapped Private Document Auditing Agent using Ollama, DeepSeek-R1 and Local ChromaDB.
Technologies & Libraries: OllamavLLMDeepSeek-R1Llama 3.3Whisper
06

Enterprise Agent Deployment, Guardrails, Evaluation & Security

16 Hours

Productionize, monitor, secure and evaluate multi-agent applications for enterprise scalability.

Core Technical Topics & Competencies Covered:

  • โœ”Agent Security: Prompt Injection defense, Jailbreak prevention & Guardrails
  • โœ”Implementing NeMo Guardrails and Llama Guard for safety compliance
  • โœ”Agent Observability & Tracing: LangSmith, Langfuse, OpenInference
  • โœ”Evaluation Metrics for Agents: Success rate, tool call accuracy, cost per task
  • โœ”Containerization with Docker & Kubernetes Deployment for Auto-Scaling
  • โœ”Cost Optimization: Prompt caching, token throttling & model routing gateways
๐Ÿ› ๏ธ
Hands-on Production Lab Project: Full Production Multi-Agent Microservice deployed with Docker, FastAPI, LangSmith Tracing & NeMo Guardrails.
Technologies & Libraries: LangSmithNeMo GuardrailsDockerKubernetesFastAPI
PROVEN CAREER RESULTS

Where Our Varanasi Students Get Hired

Over 500+ global enterprises and innovative unicorns hire directly from 4Achievers programs.

TCS iON Wipro Digital HCL Tech Infogain Tech Mahindra Google Amazon Microsoft Adobe
COMMON QUERIES

Frequently Asked Questions (Varanasi)

Everything you need to know about fees, batch timings, placement support, and prerequisites.

Why choose 4Achievers for Generative AI & Agentic AI in Varanasi?

4Achievers provides 100% placement assurance, dedicated offline labs with high-speed development machines, real-world live projects, and personal 1-on-1 mentor guidance from working senior engineers.

What is the course duration and batch schedule?

The program spans 14 Weeks with both weekday regular batches (Mon-Fri) and weekend tracks (Sat-Sun) specifically designed for working professionals and university students.

Is there 100% placement support provided in Varanasi?

Yes! Our dedicated Corporate Placement Cell coordinates guaranteed interview drives, resume redesign workshops, and mock technical grilling until you secure your desired job offer.