Agentic AI Developer Certification

•Introduction to autonomous agents: definitions, types, and lifecycles

•Event-driven and reactive programming models for agents

•State management and memory in autonomous systems

•Key libraries and frameworks overview: LangChain, AutoGen, CrewAI, Semantic Kernel

•Implementing agent behaviors: goals, plans, actions

•Tool usage, plugin integration, and function calling

•Embedding reasoning and planning using LLMs (e.g., ReAct, CoT, ToT)

•Adding memory and long-term context with vector stores and state graphs

•Building collaborative and competitive agent networks

•Communication protocols (e.g., message queues, REST, gRPC, WebSockets)

•Role assignment, task delegation, and hierarchy modeling

•Synchronization, conflict resolution, and consensus mechanisms

•LangChain agents and chains: building modular workflows

•LangGraph for stateful multi-step agents with branching logic

•AutoGen for dialogue-based, code-executing agents

•Agent orchestration using CrewAI and other tools

•Selecting and integrating LLM backends (OpenAI, Anthropic, Mistral, etc.)

•Tool and API calling via OpenAI functions, LangChain tools, or custom plugins

•Implementing Retrieval-Augmented Generation (RAG) pipelines

•Securing API access and implementing role-based tool access

•Implementing short-term and long-term memory: Redis, Pinecone, Chroma

•Managing agent context windows, summarization strategies, and checkpoints

•Caching, logging, and serialization of agent states

•Using external data stores and knowledge graphs

•Agent simulation and unit/integration testing strategies

•Logging agent behavior and decision-making paths

•Observability tools for monitoring multi-agent interactions

•Debugging loops, failures, and hallucinations in LLMs

•Building APIs and frontends to interact with agents

•Containerization with Docker and orchestration with Kubernetes

•Hosting agents in cloud (AWS/GCP/Azure) and on edge devices

•Rate limiting, retries, and circuit breakers for stability

•Secure tool and API execution within agents

•Red teaming agents for jailbreaking and prompt injection

•Implementing guardrails, filters, and fallback strategies

•Logging, traceability, and human-in-the-loop interventions

•Designing conversational flows and intents

•Integrating speech-to-text (Whisper, Deepgram) and text-to-speech (ElevenLabs, Azure TTS)

•Connecting the voice interface with autonomous agent backends

•Handling interruptions, context persistence, and streaming conversations

•Deploying as a real-time voice assistant on web or mobile

•Building a web-based or app-based chatbot UI

•Connecting chat frontends to agent frameworks via API or WebSocket

•Managing user sessions, memory, and context continuity

•Incorporating tools like file upload, code execution, or database queries

•Deployment, user testing, logging, and analytics

•Personalized 1-on-1 Trainer/SME Connect Session - Receive a 1-on-1 connect session from Trainer/SME to resolve all types of queries.

•Daily Live Session with Lifelong Learning - Participate in a daily live session with industry experts where professionals from around the world connect with SMEs and have a brainstorming session.