
AI Agents 101: Tools, Memory, and Planning
Beginner friendly guide to AI agents by CDPL. Learn how agent tools, memory, and planning work together to automate tasks safely and reliably.
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Beginner friendly guide to AI agents by CDPL. Learn how agent tools, memory, and planning work together to automate tasks safely and reliably.

Beginner friendly AI guide by CDPL. Learn what artificial intelligence is, key types, real examples, and industry use cases with skills and tools to get started.

A clear, picture first guide by CDPL that explains overfitting and underfitting, bias variance trade off, detection methods, and practical fixes with scikit learn examples.

Learn manual testing fundamentals for CDPL learners and partner teams. Write clear test scenarios, actionable test cases, and maintainable test suites with examples and templates.

A comprehensive guide to automated software testing covering fundamentals, best practices, advanced techniques, tools, real-world examples, and future trends in 2025.

Understand the difference between data science, machine learning, and artificial intelligence with simple definitions, examples, skills, and tools. A CDPL guide for learners and partner teams.

Explore the top data science trends shaping 2025, from generative AI and automated ML to ethical practices and edge computing. A complete guide for professionals and businesses.

A beginner friendly guide by CDPL that explains what data science is, how it works, real world examples, key skills, and career paths with tools to get started.

A 2025 playbook for using AI in digital marketing: prompt engineering, content operations, and 1:1 personalization that scales across SEO, ads, email, and lifecycle—without sacrificing brand safety.

A step-by-step 2025 digital marketing playbook covering SEO, content strategy, paid media, email automation, CRO, and attribution. Use proven frameworks to scale qualified traffic, leads, and revenue with first-party data and GA4.

An unbiased 2025 comparison of Power BI, Tableau, and Looker (Google Cloud). Evaluate pricing, performance, governance, embedded analytics, AI features, and best-fit scenarios for enterprises and startups.

A practical 2025 guide to SQL for BI analysts: SELECT patterns, joins, aggregations, window functions (ROW_NUMBER, RANK, LAG/LEAD), CTEs, and performance tuning with indexes, partitions, and EXPLAIN.