IBM RAG and Agentic AI Professional Certificate

Colleagues, in the “IBM RAG and Agentic AI Professional Certificate” program you will build the  job-aligned GenAI skills and hands-on experience to create RAG, multimodal, and agentic AI applications employers need in just 3 months, learn to design and chain AI tools with LangChain for modular, reusable gen AI workflows, implement function calling, RAG, and vector stores to build intelligent, context-aware applications, and create autonomous AI agents using LangGraph, CrewAI, and AG2 for real-world impact. Acquire high-demand skills in Agentic systems, Prompt Engineering, LLM Application, LangGraph, Tool Calling, Multimodal Prompts, Large Language Modeling, Responsible AI, Application and Software Development, Generative AI, Generative AI Agents, Application Design, Machine Learning, UI Components, OpenAI, LangChain, and Semantic Web. Training lessons include: 1) Develop Generative AI Applications: Get Started, 2) Build RAG Applications: Get Started, 3) Vector Databases for RAG: An Introduction, 4) Advanced RAG with Vector Databases and Retrievers, 5) Build Multimodal Generative AI Applications, 6) Fundamentals of Building AI Agents, 7) Agentic AI with LangChain and LangGraph, and 8) Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI.

Enroll today (teams & executives are welcome): https://imp.i384100.net/o42MO9

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

3 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

Machine Learning Engineer - Discover Your Path to Career Success (2025)

Colleagues, did you know that the Machine Learning market size and growth was valued $36.73 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 34.8% from 2023 to 2030 according to Grand View Research? Visit the Stack Overflow Machine Learning community for more career and networking details. 

Job Titles: Machine Learning Engineer, AI/ML Engineer, Senior Machine Learning Engineer, Applied Machine Learning Engineer and Research Machine Learning Engineer. 

Salaries: BuiltIn, Glassdoor, Indeed, Levels.fyi, and PayScale

Career Opportunities: Dice, Indeed, LinkedIn, Monster, Simply Hired, and Zip Recruiter

Certification and Training programs - add an extra 5%-10% to your compensation (enroll now):

• Data Structures, Algorithms, and Machine Learning Optimization (https://tinyurl.com/yc2dfb8f) 

• Deep Learning with TensorFlow & PyTorch (https://tinyurl.com/y6tzewpp) 

• Deep Learning with Tensorflow, Keras and PyTorch (https://fxo.co/EJMp) 

• Machine Learning with PyTorch (https://tinyurl.com/szmb6cl)

• Structuring Machine Learning Projects (https://imp.i384100.net/RGPGQa) 

Begin your path to success today, Lawrence E. Wilson - AI Academy (share with colleagues & friends) 

Great Christmas Gift - ”Transformative Innovation” Amazon audio & ebook series

What a great Christmas gift -  ”Transformative Innovation” Amazon audio & ebook series 

Transformative Innovation:

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Order today, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

Data Structures, Algorithms and Machine Learning Optimization (training)

Colleagues, the “Data Structures, Algorithms, and Machine Learning Optimization” program provides you with a functional, hands-on understanding of the essential computer science for machine learning applications. Learn "big O" notation to characterize the time efficiency and space efficiency of a given algorithm,  use Python data structures, including list-, dictionary-, tree-, and graph-based structures, understand the essential algorithms for working with data, including those for searching, sorting, hashing, and traversing, implement statistical and machine learning approaches to optimization differ, and why you would select one or the other for a given problem you're solving, grasp versatile (stochastic) gradient descent optimization algorithm works, and familiarize yourself with the "fancy" optimizers that are available for advanced machine learning approaches. Skill-based training modules cover: 1) Orientation to Data Structures and Algorithms - Machine Learning Foundations Series, A Brief History of Data and Algorithms, and their Applications to Machine Learning; 2) "Big O" Notation - Constant, Linear and Polynomial  Time, Common Runtimes, Best versus Worst Case scenarios; 3) List-Based Data Structures - Lists, Arrays, Linked Lists, Doubly-Linked Lists, Stacks, Queues, Deques; 4) Searching and Sorting - Binary Search, Bubble-Merge-Quick Sorts; 5) Sets and Hashing - Maps and Dictionaries, Sets, Hash Functions, Collisions, Load Factor, Hash Maps, String Keys, Hashing in ML; 6) Trees - Decision Trees, Random Forests, XGBoost: Gradient-Boosted Trees; 7) Graphs - Directed versus Undirected Graphs, DAGs: Directed Acyclic Graphs, Pandas DataFrames; 8) Machine Learning Optimization - Statistics versus Machine Learning - Objective Functions, Mean Absolute Error, Mean Squared Error, Minimizing Cost with Gradient Descent, Gradient Descent from Scratch with PyTorch, Critical Points, Stochastic Gradient Descent, Learning Rate Scheduling, Maximizing Reward with Gradient Ascent; and 9) Fancy Deep Learning Optimizers - Jacobian Matrices, Second-Order Optimization and Hessians, Momentum, and Adaptive Optimizers.

Enroll today (teams & execs welcome): https://tinyurl.com/yc2dfb8f 

Down your complimentary AI-ML-DL - Career Transformation Guide.

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (subscribe & share)

The Deep Learning Sentinel (December 2025)

Colleagues, our goal is to provide Deep Learning professionals with up-to-date and actionable information to advance your career and income growth.

Product Launches & Innovations:

• Allen Institute for AI's OMAI Project 

• Apple On-Device and Server Foundation Language Models 

• DeepSeek R1

• Google Gemini 3.0

• Litmus7's 'Neural Intelligence' Hub

• OpenAI GPT-5

Featured Articles:

• “AI and Machine Learning” (Harvard Business Review) 

• “Deep Learning” (Alan Turning Institute)

• “Deep Learning” (MIT Technology Review)

• “Deep Learning News & Articles” (IEEE Spectrum)

• “Features, Models, and Applications of Deep Learning in Music Composition” (American Journal of Information Science and Technology)

Featured Resources:

• AWS Deep Learning

• DeepLearning.AI

• Google Vertex AI Platform

• MathWorks - Deep Learning

• nVidia Deep Learning Institute

Career Development - Certs & Training (boost your income by 5%-10%):

• Data Structures, Algorithms, and Deep Learning Optimization

• Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT

• Deep Learning and Reinforcement Learning

• Deep Learning Specialization

• Deep Learning with TensorFlow & PyTorch

• Deep Learning with Tensorflow, Keras and PyTorch 

• Deep Learning Specialization

• Deep Learning with PyTorch

• Introduction to Deep Learning

• Machine Learning with Python: from Linear Models to Deep Learning

• Machine Learning A-Z: AI, Python & R

• Neural Networks and Deep Learning

• Structuring Deep Learning Projects

• TensorFlow Developer Professional Certificate

Enroll today (teams & execs are welcome). 

Much success in your DL career journey, Lawrence E. Wilson - AI Academy (share with colleagues & friends)

Much success in your AI career journey, Lawrence E. Wilson - AI Academy (share with colleagues & friends)