Call+91 9542701987 Forward Deployed Engineer(AI FDE)Training in San Diego,California
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 Training in San Diego,California
Build practical skills in Full Stack AI Forward Deployed Engineering (AI FDE), Generative AI, Agentic AI, AI Agents, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, RAG, LLMs, Gen AI Testing, and Agentic AI Testing Training institute in San Diego,California
The course focuses on real-time projects, AI application development, enterprise AI solutions, LLM and RAG applications, AI agents, API integration, AI testing, cloud deployment, and practical Forward Deployed Engineering skills.
Training Options in San Diego
- Instructor-led training
- Live online training
- Hands-on, project-based learning
- Flexible scheduling for working professionals
- Training accessible across the San Diego metropolitan area
🚀 Enroll Today: Contact us for the upcoming batch, course schedule, training format, and enrollment details.
📞 Call / WhatsApp: 9542701987
Forward Deployed AI Engineer Training in San Diego, California offers practical training in Full Stack AI FDE, Generative AI, Agentic AI, AI Agents, LLMs, RAG, Machine Learning, Deep Learning, Data Science, Gen AI Testing, and Agentic AI Testing. Learn AI application development, enterprise AI integration, API development, AI agents, RAG systems, testing, cloud deployment, and LLMOps through hands-on, real-time projects. Instructor-led and live online training options are available for learners and working professionals across San Diego. Enroll today for course details and upcoming batches. Call/WhatsApp: 9542701987.
Forward Deployed AI Engineer Training — Course Content in San Diego,California@+91 9542701987
1. AI & Software Engineering Foundations
- Python programming for AI
- Data structures and algorithms
- Git & GitHub
- REST APIs and JSON
- SQL and databases
- Software engineering fundamentals
2. Machine Learning & Deep Learning
- Machine Learning fundamentals
- Supervised and unsupervised learning
- Model training and evaluation
- Feature engineering
- Neural networks
- Deep Learning fundamentals
- ML model integration
3. Generative AI & LLM Engineering
- Generative AI fundamentals
- Large Language Models (LLMs)
- Prompt engineering
- LLM APIs
- Open-source LLMs
- Embeddings and tokenization
- Structured outputs
- LLM application development
4. RAG — Retrieval-Augmented Generation
- RAG architecture
- Document ingestion and preprocessing
- Chunking strategies
- Embeddings
- Vector databases
- Semantic search
- Retrieval optimization
- Enterprise knowledge-base applications
5. Agentic AI & AI Agents
- AI agent architecture
- Tool and function calling
- Agent workflows
- Planning and task execution
- Memory and context management
- Multi-agent systems
- Agentic automation
- Enterprise AI agents
6. Full-Stack AI Development
- Python and FastAPI
- Backend API development
- Streamlit
- Frontend integration
- Database integration
- Authentication fundamentals
- Building AI-powered applications
7. Forward Deployed Engineering
- Customer and business requirement analysis
- Problem discovery
- Translating business problems into AI solutions
- Rapid AI prototyping
- Solution architecture
- Enterprise system integration
- Technical consulting and communication
- Iterative development
8. Gen AI & Agentic AI Testing
- LLM testing
- Prompt testing
- RAG evaluation
- AI agent testing
- Response quality evaluation
- Automated AI evaluation
- Reliability and safety testing
9. Cloud, DevOps & AI Deployment
- Docker
- Cloud fundamentals
- CI/CD concepts
- API deployment
- AI application deployment
- Monitoring and logging
- Production deployment workflows
10. LLMOps & Enterprise AI
- LLMOps fundamentals
- AI application monitoring
- Observability
- Performance optimization
- AI security fundamentals
- Data privacy considerations
- Enterprise AI architecture
11. Real-Time AI Projects
- Enterprise RAG chatbot
- AI customer-support agent
- Document intelligence application
- AI business assistant
- Multi-agent automation system
- Full-stack GenAI application
- End-to-end AI deployment project
12. Career & FDE Skills
- AI solution demonstrations
- Technical documentation
- Architecture presentations
- Client communication
- Portfolio development
- Forward Deployed AI Engineer interview preparation
- Real-world AI problem-solving
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