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An intensive, hands-on program specialized in designing, developing, and deploying production-grade AI systems and Large Language Model (LLM) integrations: Generative AI & LLM Integration: Expertise in Transformer architectures, advanced prompt engineering, and the practical application of commercial and open-source models (OpenAI, Gemini, Llama, Ollama) via APIs. Advanced AI Architectures: Specialization in Retrieval-Augmented Generation (RAG) systems, utilizing vector databases (Chroma, Pinecone, FAISS) and implementing semantic and hybrid search strategies. Autonomous Agents & Orchestration: Building complex workflows and multi-agent systems using frameworks such as LangChain, LangGraph, and AutoGen. Deep Learning & NLP: Development of neural network architectures, including CNNs, RNNs (LSTMs, GRUs), and Autoencoders using PyTorch, with a focus on advanced Natural Language Processing (NLP) techniques. Data Science & Classical Modeling: Mastery of the data science lifecycle, including statistical modeling, feature engineering, and supervised/unsupervised machine learning algorithms (Regression, Classification, Clustering) using Scikit-learn. Final Project: Practical implementation of a comprehensive AI system, demonstrating the integration of theoretical knowledge into a scalable, real-world application.

An intensive, elite certification focusing on cloud infrastructure, automation, and DevOps methodologies: Virtualization & Cloud: Hands-on experience with Hypervisor, vCenter, ESXi Storage, VRA environments, and Cloud architecture. Containers & Orchestration: Expertise in Kubernetes (K8s), including advanced objects, Cluster management, and OpenShift. CI/CD & Automation: Implementing CI pipelines and infrastructure automation using Ansible. Monitoring & Logging: System monitoring using Prometheus and Metrics; log analysis and auditing via Splunk. Operating Systems & Scripting: Advanced administration of Linux (Bash scripting, permissions) and Windows Server (AD, DNS, GPO). Networking & Security: Deep understanding of the OSI 7-layer model, Subnetting, Firewalls, VPN, NAT, and High Availability (HA/DRP) architectures. Programming: Development in Python (OOP, Regex, Sockets, Parallel programming) following PEP8 standards.

Software Development: Proficiency in C, Assembly, Object-Oriented Programming (OOP), and Web environment development. Core Computer Science: Data Structures, Algorithm Efficiency, Operating Systems, Database Design, and SQL. Engineering Foundations: Linear Algebra, Digital Systems, Data Communication, and Microcomputers. Final Project: Designed and developed a comprehensive system integrating theoretical knowledge with practical software engineering and system analysis.

Professional certification focusing on managing scalable, highly available, and fault-tolerant systems on the AWS platform.