#1 Choice For High-Impact Careers · Beginner to Advanced

Advanced Generative and Agentic AI Program

Name: Advanced Generative and Agentic AI Program
Price: 2499 USD
Availability: InStock

Master Generative AI and Agentic AI with hands-on projects, LLMs, AI agents, prompt engineering, RAG pipelines, and multi-agent orchestration.

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6 Months

Duration

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100% Live

Mentor-led

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Virtual Labs

24/7 Practice

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Microsoft

Aligned Cert

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$2,499 $4,999

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5 (5,200 reviews)

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Advanced Generative and Agentic AI Program

Live Cohort Active

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Global Certificate

Microsoft Aligned

starstarstarstarstar Rated 5/5 by alumni | verified Microsoft Certified Aligned | terminal Virtual Lab Environment | workspace_premium Verifiable Credentials

military_tech Why Choose Us

Why Get Certification From American Tech Global

We focus on practical hands-on capability, virtual lab execution, and real mentorship to ensure you stand out in competitive global markets.

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Industry Experts Live

Interactive live mentor-led sessions with industry leaders who work at top global tech firms.

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Doubt Clearing Sessions

Dedicated weekly doubt clearing and 1-on-1 technical mentorship so you never stay blocked.

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Assignment Evaluation

In-depth code and lab reviews with actionable personalized feedback on every milestone.

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Lab For Your Practice

24/7 access to dedicated virtual lab environments and cloud infrastructure ready to use.

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Industry Relevant Projects

Work on real-world datasets, scenarios, and production-grade architectures built for recruiters.

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3+ Career Sessions

Resume polishing, LinkedIn profile optimization, and technical mock interviews to land your dream job.

bolt Learning Outcomes

What You Will Master

A rigorously engineered syllabus designed in partnership with active tech leaders.

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Build production LLM applications, custom copilots, and intelligent prompt systems

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Master advanced prompt engineering: Zero-shot, Few-shot, Chain-of-Thought, and ReAct patterns

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Create multimodal generative AI solutions combining text, vision, audio, and diffusion models

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Develop enterprise RAG systems with document chunking, dense embeddings, and vector databases

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Design autonomous AI agents that reason, plan tasks, use tools, and call external APIs

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Build collaborative multi-agent teams using LangGraph, CrewAI, and AutoGen

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Connect LLM agents to CRMs, databases, spreadsheets, and custom tools

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Deploy scalable AI systems with FastAPI, Docker, guardrails, and latency/cost monitoring

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Evaluate LLM outputs, mitigate hallucinations, and implement responsible AI governance

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Build 4+ flagship capstone AI products with code on GitHub and live web demos

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Prepare for Microsoft Certified: Azure AI Fundamentals (AI-900) and industry AI roles

construction Tools & Tech Stack

Industry-Standard Tools You'll Master

Practice with the exact platforms, frameworks, and command-line utilities used by enterprise teams.

Python

LangChain

LangGraph

CrewAI

AutoGen

LlamaIndex

OpenAI GPT-4o

Anthropic Claude 3.7

Pinecone

ChromaDB

FastAPI

Streamlit

Docker

Hugging Face

menu_book Course Modules

Comprehensive Curriculum

10 in-depth modules covering end-to-end concepts, hands-on lab exercises, and capstone milestones.

Introduction to AI, Machine Learning, Deep Learning, Generative AI models, and Transformer architecture.

play_circle Introduction to AI, Machine Learning & Deep Learning Ecosystem

play_circle Overview of Generative AI & Large Language Models (LLMs)

play_circle Transformer Architecture & Multi-Head Self-Attention Mechanism

play_circle Types of Generative Models (Text, Vision, Audio, Multimodal)

play_circle Real-World Enterprise Applications of Generative AI

Set up modern AI development environment with Python, NumPy, Pandas, PyTorch, APIs, and version control.

play_circle Python Essentials for AI Development

play_circle Core Libraries: NumPy, Pandas, and PyTorch Basics

play_circle Working with OpenAI and Anthropic APIs & SDKs

play_circle GitHub, Virtual Environments & Dependency Management

play_circle Application Deployment Basics with Streamlit

Tokenization, model families (GPT, Claude, Gemini, Llama), fine-tuning, LoRA adapters, and benchmarking.

play_circle Tokenization, Context Windows & Attention Mechanics

play_circle Comparing Frontier LLMs: GPT-4o, Claude 3.7, Gemini 2.0, DeepSeek

play_circle Fine-Tuning Concepts, LoRA Adapters & Parameter-Efficient Tuning

play_circle LLM Evaluation, Benchmarking & Guardrails

play_circle Scaling Laws & Token Cost Optimization

Master structured prompting techniques, system prompts, few-shot prompting, Chain-of-Thought, and ReAct loops.

play_circle Prompt Design Fundamentals & Structured Outputs (JSON Schema)

play_circle Zero-Shot, Few-Shot, Chain-of-Thought (CoT) & Step-Back Prompting

play_circle ReAct Prompting: Synergizing Reasoning and Acting

play_circle Prompt Optimization, Defense Against Injections & Guardrails

play_circle Enterprise Prompt Patterns for High-Reliability Workflows

Generate and analyze images, video, and audio using Stable Diffusion, Midjourney concepts, and Vision-Language Models.

play_circle Text-to-Image Generation & Diffusion Model Architecture

play_circle Text-to-Video & Synthetic Audio Generation

play_circle Vision-Language Models (GPT-4o Vision, Claude Vision)

play_circle Cross-Modal Embeddings & Multimodal Retrieval

play_circle Building Creative Multimodal Applications

Build production knowledge-grounded systems with document loaders, embeddings, Pinecone/Chroma, and semantic search.

play_circle RAG vs Fine-Tuning: Decision Framework for Enterprise AI

play_circle Document Loaders, Text Splitting & Chunking Strategies

play_circle Vector Databases & Dense Embeddings (Pinecone, ChromaDB)

play_circle Building End-to-End RAG Pipelines with LangChain and LlamaIndex

play_circle RAG Evaluation (Ragas Framework, Context Relevance, Faithfulness)

Transition from static LLMs to autonomous agents with reasoning, memory, goal decomposition, and tool execution.

play_circle What is Agentic AI: Agents vs Chatbots

play_circle Agent Architecture: Perception, Planning, Memory & Execution

play_circle Tool Use, Function Calling & Environment Interaction

play_circle State Machines, Memory Systems & Reflection Loops

play_circle Agentic Safety, Boundaries & Human-in-the-Loop

Develop agents using LangChain, LangGraph, CrewAI, and AutoGen with tool integration and function calling.

play_circle LangGraph Core: StateGraphs, Nodes, Edges & Checkpointers

play_circle CrewAI Framework: Role-Playing Agents, Tasks & Crews

play_circle Building Custom Tools & Integrating REST APIs

play_circle Long-Term Memory & Context Management in Agents

play_circle Debugging and Tracing Agent Workflows with LangSmith

Design multi-agent architectures where specialized agents collaborate, delegate tasks, and solve complex workflows.

play_circle Multi-Agent Design Patterns: Hierarchical, Sequential, and Peer-to-Peer

play_circle Agent Communication Protocols & Message Passing

play_circle Task Delegation, Conflict Resolution & Dynamic Routing

play_circle Cooperative vs Competitive Agent Swarms

play_circle Building Autonomous Business Automation Workflows

Deploy AI agent systems as production APIs with FastAPI and Docker, implement observability, and deliver flagship capstone projects.

play_circle Production Deployment of AI Agents with FastAPI and Docker

play_circle Responsible AI, Bias Mitigation & Ethical Governance

play_circle Privacy, Data Security & Enterprise Compliance in AI

play_circle Flagship Capstone Project Presentation & GitHub Portfolio

play_circle Career Strategy, Technical Mock Interviews & Job Readiness

deployed_code Real-World Portfolio

You don't watch tutorials. You build autonomous AI agents and ship production AI products.

Graduate with a rich GitHub portfolio and live deployed projects that prove your skills to recruiters.

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Enterprise Document RAG Pipeline

Build a production knowledge retrieval engine with semantic chunking, Pinecone vector search, and citation sources.