Agentic AI course, 8 modulesAgentic AI Systems

Learn goal-directed AI that can perceive, plan, use tools and remember, performing tasks with minimal human oversight. Eight modules from fundamentals to hands-on projects.

Book an appointment Call 847-350-9034

8 modulesHands-on projectsTools and frameworks

Eight modules

From the basics of agents to the future of the field. 1

Introduction

Definition, evolution of agents, core components and use cases.2

Architecture

Agent loop, tool usage, memory systems and multi-agent systems.3

Tools and frameworks

LangChain, OpenAI Assistants API, AutoGen, CrewAI and more.4

Agentic workflows

Designing agents, task decomposition, tools, chaining and memory.5

Real-world applications

Knowledge work, DevOps, business and multi-agent use cases.6

Challenges and ethics

Security, reliability, ethical agents, guardrails and HITL.7

Hands-on projects

Apply what you learned in practical project work.8

The future

AgentOS, trends, open research areas and AGI preparation.

Detailed course content

Topics in each module.

1. Introduction to Agentic AI

✓Definition; autonomous vs. agentic behavior✓From chatbots to LLM agents; AI agents after GPT✓Memory, goals, tools, environment, reasoning loop✓Task automation, multi-step workflows, RPA, autonomous research

2. Architecture of Agentic AI

✓ReAct (Reason + Act) and Chain-of-Thought prompting✓Tool usage: APIs, plugins, external tools✓Short-term vs. long-term memory; vector databases (FAISS, Pinecone)✓Observation, planning and action cycle✓Multi-agent systems: communication and collaboration

3. Tools and frameworks

✓LangChain: agents, tools, LangGraph and workflows✓OpenAI Assistants API: threads, tools, function calling✓AutoGen (Microsoft): role-based agents and group chats✓CrewAI: task delegation and coordination✓HuggingGPT, AgentVerse, BabyAGI, SuperAGI

4. Building agentic workflows

✓Define goals, constraints and tools✓Agent personas; specialist vs. generalist agents✓Task decomposition, AutoGPT style goal-breaking✓File I/O, web search, API calling, database interaction✓Chaining and memory for persistent context

5. Real-world applications

✓Research assistant, code generation, marketing workflows✓Autonomous agents for DevOps: monitoring, alert response✓Sales pipelines, customer support, market analysis✓Software development, report generation, content creation

6. Challenges and ethics

✓Security risks: tool abuse, hallucinations, data leaks✓Reliability and benchmarks for agentic systems✓Alignment, autonomy limits, decision transparency✓Guardrails and human-in-the-loop (HITL)

7 and 8. Projects and the future

✓Module 7: hands-on projects✓AgentOS and LLM operating systems✓Trends in autonomous AI systems and open research areas✓Preparing for AGI through agentic intelligence

Support and salient features

Career support and classroom features that come with the course.

Staffing support

✓Resume preparation✓Mock interview preparation✓Phone interview preparation✓Face to face interview preparation✓Project and technology preparation✓Internship with internal project work✓Externship with client project work

Our salient features

✓Hands-on labs and homework✓Group discussion and case study✓Course project work✓Regular quiz and exam✓Regular support beyond the classroom✓Students can re-take the class at no cost✓Dedicated conference rooms for group project work✓Live streaming for remote students✓Video recording to catch up on a missed class

Ready to start build AI agents?

Call 847-350-9034 or book an appointment to talk about this course and funding options.Book an appointment Call 847-350-9034 Education grant program

Eight modules

From the basics of agents to the future of the field.1

Introduction

Definition, evolution of agents, core components and use cases.2

Architecture

Agent loop, tool usage, memory systems and multi-agent systems.3

Tools and frameworks

LangChain, OpenAI Assistants API, AutoGen, CrewAI and more.4

Agentic workflows

Designing agents, task decomposition, tools, chaining and memory.5

Real-world applications

Knowledge work, DevOps, business and multi-agent use cases.6

Challenges and ethics

Security, reliability, ethical agents, guardrails and HITL.7

Hands-on projects

Apply what you learned in practical project work.8

The future

AgentOS, trends, open research areas and AGI preparation.

Detailed course content

Topics in each module.1

Introduction to Agentic AI

✓Definition; autonomous vs. agentic behavior✓From chatbots to LLM agents; AI agents after GPT✓Memory, goals, tools, environment, reasoning loop✓Task automation, multi-step workflows, RPA, autonomous research2

Architecture of Agentic AI

✓ReAct (Reason + Act) and Chain-of-Thought prompting✓Tool usage: APIs, plugins, external tools✓Short-term vs. long-term memory; vector databases (FAISS, Pinecone)✓Observation, planning and action cycle✓Multi-agent systems: communication and collaboration3

Tools and frameworks

✓LangChain: agents, tools, LangGraph and workflows✓OpenAI Assistants API: threads, tools, function calling✓AutoGen (Microsoft): role-based agents and group chats✓CrewAI: task delegation and coordination✓HuggingGPT, AgentVerse, BabyAGI, SuperAGI4

Building agentic workflows

✓Define goals, constraints and tools✓Agent personas; specialist vs. generalist agents✓Task decomposition, AutoGPT style goal-breaking✓File I/O, web search, API calling, database interaction✓Chaining and memory for persistent context5

Real-world applications

✓Research assistant, code generation, marketing workflows✓Autonomous agents for DevOps: monitoring, alert response✓Sales pipelines, customer support, market analysis✓Software development, report generation, content creation6

Challenges and ethics

✓Security risks: tool abuse, hallucinations, data leaks✓Reliability and benchmarks for agentic systems✓Alignment, autonomy limits, decision transparency✓Guardrails and human-in-the-loop (HITL)7

7 and 8. Projects and the future

✓Module 7: hands-on projects✓AgentOS and LLM operating systems✓Trends in autonomous AI systems and open research areas✓Preparing for AGI through agentic intelligence

Support and salient features

Career support and classroom features that come with the course.1

Staffing support

✓Resume preparation✓Mock interview preparation✓Phone interview preparation✓Face to face interview preparation✓Project and technology preparation✓Internship with internal project work✓Externship with client project work2

Our salient features

✓Hands-on labs and homework✓Group discussion and case study✓Course project work✓Regular quiz and exam✓Regular support beyond the classroom✓Students can re-take the class at no cost✓Dedicated conference rooms for group project work✓Live streaming for remote students✓Video recording to catch up on a missed class

Ready to start build AI agents?

Call 847-350-9034 or book an appointment to talk about this course and funding options.Book an appointment Call 847-350-9034 Education grant program