Microsoft AI & ML Engineering Professional Certificate

Colleagues, the “Microsoft AI & ML Engineering Professional Certificate” has a key focus on leveraging cloud-based AI & ML services, specifically through Microsoft Azure, where you manage end-to-end workflows. The program concludes with advanced concepts, ethical considerations, and a capstone project. Learn to: Design and Implement AI & ML Infrastructure: Develop environments, including data pipelines, model development frameworks, and deployment platforms. Master AI & ML Algorithms and Techniques: Apply supervised, unsupervised, reinforcement learning, and deep learning methods to solve challenges. Develop Intelligent Troubleshooting Agents: Create AI-powered agents capable of diagnosing and resolving issues autonomously. And leverage Microsoft Azure for AI & ML Workflows: Set up, manage, and optimize the entire AI & ML. You will acquire high-demand skills with: Generative Model Architectures, Supervised Learning, Natural Language Processing, Model Optimization, Data Infrastructure, LLM Application, Data Preprocessing, Responsible AI, Large Language Modeling, Unsupervised Learning, Fine-tuning, Deep Learning, Data Management, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), and Infrastructure Architecture. Tools you will learn include Generative AI, Generative Adversarial Networks (GANs), Microsoft Azure, Model Deployment, and Lifecycle using Azure.

Enroll today (teams & executives are welcome): https://imp.i384100.net/n467LR

For your listening-reading pleasure:

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

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

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

4 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

Much career success, AI Academy (kindly subscribe and share with your peers)

Reinforcement Learning Specialization

Colleagues, in the “Reinforcement Learning Specialization” you will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. Skill-based training modules address: 1) Fundamentals of Reinforcement Learning, 2) Sample-based Learning Methods, 3) Prediction and Control with Function Approximation, and 4) A Complete Reinforcement Learning System (Capstone). Learn to: Build a Reinforcement Learning system for sequential decision making. Understand the space of RL algorithms (Temporal- Difference learning, Monte Carlo, Sarsa, Q-learning, Policy Gradients, Dyna, and more), how to formalize your task as a Reinforcement Learning problem, and how to begin implementing a solution, and how RL fits under the broader umbrella of machine learning, and how it complements deep learning, supervised and unsupervised learning. Acquire high-demand skills involving  Machine Learning, Reinforcement Learning, Decision Intelligence, Model Evaluation, Simulations, Agentic Systems, Systems Development, Artificial Neural Networks, Machine Learning Methods, Feature Engineering, Markov Model, Deep Learning, Artificial Intelligence, Sampling (Statistics), Model Training, Applied Machine Learning, Algorithms, Solution Architecture, Machine Learning Algorithms, and Supervised Learning.

Enroll today (teams & executives are welcome): https://imp.i384100.net/B5d9MW

For your listening-reading pleasure:

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

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

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

Much career success, AI Academy (please subscribe and share with your team)

Operationalizing Machine Learning and Generative AI Solutions (Microsoft Exam AI-300)

Colleagues, the “Operationalizing Machine Learning and Generative AI Solutions - Microsoft Exam AI-300” program will become a successful candidate for this exam and in the field of Machine Learning operations (MLOps) or Generative AI ops (GenAIOps) needs to understand the MLOps infrastructure, workspace infrastructure, automation, how to manage models, and configure agents. These core components and more are covered in this course. Learn how to: Design and implement an MLOps infrastructure, Implement machine learning model lifecycle and operations, Design and implement a GenAIOps infrastructure, Implement generative AI quality assurance and observability, and Optimize generative AI systems and model performance. Skill-based training modules include: 1) Design and implement an MLOps infrastructure - Create and manage resources and assets in a Machine Learning workspace, Implement IaC for Machine Learning, 2) Implement machine learning model lifecycle and operations - Orchestrate model training Implement model registration and versioning, Deploy machine learning models for production environments, Monitor and maintain machine learning models in production, 3) Design and implement a GenAIOps infrastructure - Implement Foundry environments and platform configuration, Deploy and manage foundation models for production workloads, Implement prompt versioning and management with source control, 5) Implement generative AI quality assurance and observability - Configure evaluation and validation for generative AI applications and agents, Implement observability for generative AI applications and agents, and 5) Optimize generative AI systems and model performance - Optimize retrieval-augmented generation (RAG) performance and accuracy, and Implement advanced fine-tuning and model customization.

Enroll today (teams & executives are welcome): https://tinyurl.com/34pewrmj 

For your listening-reading pleasure:

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

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

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

Much career success, AI Academy (please subscribe and share with your team)

AI Agent Developer Specialization

AI Colleagues, in the “AI Agent Developer Specialization” you will master the skills of an AI Agent Software Developer. According to Lightcast’s™ Job Postings Report developers in this domain have an average annual salary of $169,700. Learn to design, build, and refine intelligent software agents using Python, generative AI, and agentic architectures for real-world applications. Gain hands-on experience developing AI agents using Python, OpenAI tools, and prompt engineering techniques. You’ll learn to design agent architectures, implement tool use and memory, build custom GPTs, and apply best practices for responsible, trustworthy AI. By the end, you’ll be able to create and deploy intelligent software agents for real-world tasks across a range of industries. Build and deploy intelligent AI agents using Python, tools, memory, and reasoning. Create custom GPTs and apply prompt engineering techniques for real-world tasks. Design trustworthy, responsible AI systems aligned with best practices. Skill-based training modules address: 1) AI Agents and Agentic AI with Python & Generative AI, 2) AI Agents and Agentic AI Architecture in Python, 3) OpenAI GPTs: Creating Your Own Custom AI Assistants, 3) Prompt Engineering for ChatGPT, and 4) ChatGPT Advanced Data Analysis. You will acquire high-demand skills including Retrieval-Augmented Generation, Data Presentation, LLM Application, Software Development, Agentic Systems, Responsible AI, Ideation, Generative AI Agents, AI Powered Creativity, Verification and Validation, Prompt Patterns, Data Visualization, and Document Management.

Enroll today - teams and execs are welcome: https://imp.i384100.net/e1Bv4D

Much success in your AI career journey, AI Academy (kindly subscribe and share with your colleagues)

Generate Smarter Generative AI Outputs (training)

Colleagues, the “Generate Smarter Generative AI Outputs” program is designed for developers, data scientists, and AI practitioners, this program builds your ability to create, deploy, and optimize generative AI solutions on Google Cloud. It's delivered through three courses: 1) Introduction to AI and Machine Learning on Google Cloud, 2) Introduction to Image Generation, and 3) Vector Search and Embeddings. You will learn to  recognize and apply the data-to-AI technologies and tools provided by Google Cloud, build and deploy generative AI and machine learning models using Vertex AI and Gemini, construct semantic and hybrid search engines using vector embeddings and Vertex AI Vector Search, and design retrieval-augmented generation (RAG) pipelines to create grounded, accurate AI agents.  Dive into the world of image generation and diffusion models. Explore the deep learning techniques behind many of today's most advanced creative AI systems. Understand how these models are inspired by thermodynamics, explore the progression from unconditioned to text-to-image generation, and learn to train and deploy diffusion models using Google Cloud's Vertex AI platform. Discover how to make AI systems more useful through intelligent search. Explore semantic and hybrid search methods using vector embeddings, and learn to design retrieval-augmented generation (RAG) pipelines that minimize hallucinations and improve contextual accuracy. By applying these concepts, you'll build a robust understanding of how to construct AI agents that retrieve and generate information with precision.

Enroll today - teams and execs are welcome: https://edx.sjv.io/WOQOXG

Much success in your AI career journey, AI Academy (kindly subscribe and share with your colleagues)

Discover the “Interview Prodigy” Audible & Kindle Book Series

Discover the “Interview Prodigy” Audible & Kindle Book Series

The Interview Prodigy (https://tinyurl.com/3ad6vs69)

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

2 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

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

Discover the ”Transformative Innovation” Amazon audio & ebook series

Discover the ”Transformative Innovation” Amazon audio & ebook series  

Transformative Innovation (https://tinyurl.com/yk64kp3r) 

 

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 

Introduction to DeepSeek (training)

AI Colleagues, the “Introduction to DeepSeek” program is a beginner-friendly course that will take you from a curious observer to a confident user. As per Reuters, the launch of DeepSeek's R1 model in January 2025 triggered the largest tech selloff in history, with Nvidia alone losing $600 billion. This Chinese startup achieved something that shocked Silicon Valley: they built an AI model rivaling OpenAI's best at a small fraction of the cost and in a fraction of the time. You will learn to: Analyze key features, architectural differences, and competitive positioning of DeepSeek-V3 and DeepSeek-R1 models against proprietary alternatives. Implement practical applications using DeepSeek models through web interfaces, APIs, and local deployment methods. Evaluate real-world use cases for DeepSeek across industries, including content generation, reasoning tasks, and automation workflows. Apply cost-effective strategies for integrating DeepSeek models into existing workflows while understanding limitations and best practices. And you will acquire leading-edge skills, including: Application Deployment, Program Evaluation, Data Ethics, Strategic Planning, Case Studies, Responsible AI, Competitive Analysis, AI Literacy, AI Integrations, Cost Benefit Analysis, Generative Model Architectures, Process Optimization, Model Evaluation, Automation, Integration Testing, and LLM Application. Supplemental tools that will be used in this program encompass the DeepSeek API, Model Deployment, DeepSeek, and OpenAI.

Enroll today (teams & executives are welcome): https://imp.i384100.net/9VZ5r5

For your listening-reading pleasure:

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

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

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

Much career success, AI Academy (please subscribe and share with your team)

AI Programming with Python

Colleagues, in the “AI Programming with Python” program you will develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch. Gain practical experience with deep learning frameworks by applying your skills through hands-on project. Explore generative AI with Transformer neural networks, learn to build, train, and deploy them with PyTorch, and leverage pre-trained models for natural language processing tasks. Designed for individuals with basic programming experience, this program prepares you for advanced studies in AI and machine learning, equipping you with the skills to begin a career in AI programming. Gain high-demand skills in Python functions Basic Python Python methods, Text processing in Python Functional,  Python Boolean expressions, Python operators, List comprehension, Python syntax, Python data types, Jupyter notebooks, Python best practices, Python variables, Control flow in Python, Python Certified Entry-Level Programmer, Python string methods, Python exception handling, Built-in Python functions, Basic Python, Python function definition, Python data structures, Python collections, Numpy, Pandas, Matplotlib, Python package management, PandasPip, Anaconda, matplotlib, Jupyter notebooks, NumPyPython packaging. You will also acquire hands-on expertise with: 1) Neural Networks - AI Programming with Python, 2) Logistic regression, 3) Deep learning framework proficiency, 4) Classification models, 5) Feedforward neural networks, 6) Deep learning, 7) Transfer learning, 8) Training neural networks, 8) Neural network basics, 9) Basic PyTorch, 10) Gradient descent, 11) Perceptron, 12) Neural network mechanics, 13) Backpropagation, 14) PyTorch, 15) Programming Transformers with PyTorch, 16) Generative AI Awareness, 17) Text generation, 18) Attention mechanisms, 19) GPT Hugging Face Transformer neural networks, and 20) Foundation Model Concepts. 

Enroll today (teams & executives are welcome): https://tinyurl.com/4mvrmxxd

For your listening-reading pleasure:

1 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

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

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

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

Much career success, AI Academy (kindly subscribe and share with your team)

TensorFlow: Advanced Techniques Specialization

AI Colleagues, in the “TensorFlow: Advanced Techniques Specialization” you will expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs. Training courses include: 1) Understand the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers, 2) Learn how optimization works and how to use GradientTape and Autograph. Optimize training in different environments with multiple processors and chip types, 3) Practice object detection, image segmentation, and visual interpretation of convolutions, and 4) Explore generative deep learning and how AIs can create new content, from Style Transfer through Auto Encoding and VAEs to Generative Adversarial Networks. You will: Understand the underlying basis of the Functional API and build exotic non-sequential model types, custom loss functions, and layers. Learn optimization and how to use GradientTape & Autograph, optimize training in different environments with multiple processors and chip types. Practice object detection, image segmentation, and visual interpretation of convolutions. Explore generative deep learning, and how AIs can create new content, from Style Transfer through Auto Encoding and VAEs to GANs.

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

For your listening-reading pleasure:

1 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible) (Kindle) 

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

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

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

Much career success, AI Academy (kindly subscribe and share with your team)