Course · Course Platforms
by Maven
A cohort course by Aishwarya Naresh Reganti and Kiriti Badam on designing and building agentic AI applications, from context engineering and evals to multi-agent systems, ending in a capstone.
Cost
$3,000
Visit official page(opens in a new tab)Learner ratings
Not enough reviews yet
Scores appear after 3 verified learner reviews.
Checked by AI Training FinderUpdated Source
Topics include problem-first AI design and token economics, context engineering with tools, retrieval and memory, evals and guardrails, voice and multimodal apps, inference basics and fine-tuning, and multi-agent coordination with MCP and A2A. Live cohorts use a flipped classroom with recorded lectures and Q&A sessions; some cohorts run self-paced without live sessions. A no-code track is available and no ML background is required. Completers receive a certificate of completion.
$3,000
Checked by AI Training FinderUpdated Source
No verified reviews yet
Only learners who completed a program can review it. How reviews work
Completed it? Write the first reviewSame topics, ranked by learner ratings and recency. Never sponsored.
by Udacity
An intermediate Nanodegree on building LLM agents, from reasoning and planning prompts to agentic workflows, agent memory and multi-agent systems.
Not enough reviews yet
Scores appear after 3 verified learner reviews.
Cost
See site
by Udacity
An intermediate Nanodegree on generative AI engineering: foundation models and fine-tuning, LLMs and RAG, and multimodal applications, with three projects.
Not enough reviews yet
Scores appear after 3 verified learner reviews.
Cost
See site
by NVIDIA Deep Learning Institute
Self-paced DLI course on designing LLM-based agents that retrieve information, route queries and run tasks concurrently, using LangGraph and NVIDIA NIM.
Not enough reviews yet
Scores appear after 3 verified learner reviews.
