No.1 Full Stack Forward Deployed Engineer(AI FDE) Training institute in Miami, Florida+91 9542701987,+91 7993762900
Forward Deployed Masters-Full Stack AI Forward Deployed Engineer(AI FDE),Forward Deployed Engineer(AI FDE),Gen AI,Agentic AI,Artificial Inteliigence(AI/ML),Data Science,Agentic AI,Gen AI Testing,Agentic AI Testing,Machine Learning,Deep Learning Real time Training, Certification institute in Miami, Florida
Forward Deployed Engineer (FDE) Training in Miami, Florida is designed for professionals who want to build, integrate, and deploy real-world AI solutions for enterprise and business environments. The program combines Software Engineering, Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, LLMs, RAG, AI Agents, APIs, Databases, Cloud, and DevOps.
Forward Deployed Engineer Course Highlights@7993762900
- AI Forward Deployed Engineer (AI FDE)
- Python & Advanced Python
- FastAPI & REST APIs
- Backend Development & Microservices
- Machine Learning & Deep Learning
- Generative AI & LLMs
- Prompt Engineering
- RAG & Vector Databases
- AI Agents & Agentic AI
- LangChain & LangGraph
- Multi-Agent AI Systems
- AI Automation & Tool Calling
- Docker & Cloud Deployment
- AWS / Azure / GCP
- MLOps & LLMOps
- AI Testing & Evaluation
- Enterprise AI Architecture
- 100% Real-Time Live Projects
- Capstone Projects
- Certification Preparation
- Interview & Job Support
Forward Deployed Engineer Training – Real-Time Course Content
1. Forward Deployed Engineering Fundamentals
- Introduction to Forward Deployed Engineering
- FDE roles and responsibilities
- AI FDE vs AI Engineer vs Software Engineer
- Enterprise AI lifecycle
- Understanding client business problems
- Requirement gathering and solution discovery
- AI solution architecture
2. Python for AI Engineering
- Python fundamentals and advanced Python
- Object-oriented programming
- Data structures and APIs
- Exception handling
- Async programming
- Virtual environments
- Git & GitHub
- Building production-ready Python applications
3. Backend & API Development
- FastAPI
- REST APIs
- Authentication and authorization
- CRUD applications
- Database integration
- API testing
- Microservices fundamentals
- Third-party API integration
4. Machine Learning & Deep Learning
- AI/ML fundamentals
- Supervised and unsupervised learning
- Feature engineering
- Model training and evaluation
- Deep Learning fundamentals
- NLP fundamentals
- Integrating ML models into applications
5. Generative AI & LLMs
- Generative AI fundamentals
- LLM architecture
- Prompt engineering
- System prompts
- Structured outputs
- Function and tool calling
- LLM APIs
- Model selection
- LLM application development
6. RAG – Retrieval-Augmented Generation
- RAG architecture
- Document ingestion
- Document preprocessing
- Chunking strategies
- Embeddings
- Vector databases
- Semantic search
- Hybrid search
- Reranking
- RAG evaluation
- Production RAG applications
7. Agentic AI & AI Agents
- AI Agent architecture
- Tool-using agents
- Agent workflows
- Agent memory
- Planning and orchestration
- Human-in-the-loop systems
- Multi-agent systems
- LangChain
- LangGraph
- Agentic RAG
- Enterprise AI agents
8. AI Application Development
- AI chatbots
- Enterprise copilots
- AI-powered search
- Document intelligence
- AI data assistants
- Text-to-SQL applications
- AI automation
- Streamlit applications
- End-to-end AI application development
9. Databases & Vector Engineering
- SQL and PostgreSQL
- NoSQL fundamentals
- Vector databases
- Embeddings
- Metadata filtering
- Similarity search
- Data ingestion pipelines
- Enterprise data integration
10. Cloud, Docker & Deployment
- AWS / Azure / GCP fundamentals
- Docker
- Containerization
- CI/CD
- Cloud APIs
- Application deployment
- Production configuration
- Monitoring and logging
- Scaling AI applications
11. MLOps & LLMOps
- Model lifecycle
- Model deployment
- Version management
- LLM evaluation
- Prompt management
- Observability
- Performance monitoring
- Token and cost monitoring
- Production troubleshooting
12. AI Security & Testing
- LLM application security
- Prompt injection awareness
- Data protection
- API security
- Authentication
- RAG testing
- Agent testing
- Hallucination evaluation
- AI quality and regression testing
13. Enterprise AI Integration
- Enterprise APIs
- CRM/ERP integrations
- Internal business systems
- Workflow automation
- Legacy-system integration
- Secure enterprise AI architecture
- Business process automation
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