Microsoft 365 Copilot and Agent Administration Fundamentals (Certification Exam AB-900)

Colleagues, the “Microsoft 365 Copilot and Agent Administration Fundamentals” will equip you to pass the AB-900 certification exam. You will learn to: Identify the core features and objects of Microsoft 365 services. Understand data protection and governance tasks for Microsoft 365 and Copilot. And perform basic administrative tasks for Copilot and agents. Skill-based training modules include: 1) Understand Cloud Concepts - Benefits and Considerations of Cloud Services part 1, Benefits and Considerations of Cloud Services part 2, Types of Cloud Services; 2) Identify the core features and objects of Microsoft 365 services - Describe core Microsoft 365 services, Identify the core objects of Microsoft 365 services, Understand the Microsoft 365 security principles, Identify the core security features of Microsoft 365 services; 3) Understand data protection and governance tasks for Microsoft 365 and Copilot - Microsoft Purview, Data security implications of Copilot, Identify data protection and governance risks for Microsoft 365 and Copilot, Identify and monitor oversharing in SharePoint in Microsoft 365; 4) Perform basic administrative tasks for Copilot and agents - Understand features and capabilities of Copilot and agents, Perform basic administrative tasks for Copilot, and Perform basic administrative tasks for agents.

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

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 (share with your team)

NVIDIA: Fundamentals of Deep Learning

Colleagues, the “Fundamentals of Deep Learning” program is part of the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Associate specialization. It introduces learners to core deep learning concepts and techniques, building on foundational machine learning principles. The course covers neuron data processing, gradient descent, Perceptron training, forward and backward propagation, activation functions, and advanced techniques like multi-class classification and Convolutional Neural Networks (CNNs). Learners will also explore transfer learning through a hands-on demo. You will learn to: Understand deep learning fundamentals, including neuron data processing and model training. Implement multi-class classification and CNNs for image recognition tasks. Apply transfer learning with pre-trained models to improve deep learning performance. And you will acquire highly marketable skills with Convolutional Neural Networks, Linear Algebra, Applied Machine Learning, Machine Learning, Image Analysis, Deep Learning, Model Training, Data Processing, Machine Learning Methods, Model Optimization, Computer Vision, Artificial Neural Networks, Transfer Learning, and Artificial Intelligence and Machine Learning (AI/ML). Moreover you will use valuable tools including Tensorflow, Classification Algorithms, Generative AI, and PyTorch (Machine Learning Library). 

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

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)

Google Cloud Generative AI Leader (Cert Prep)

Colleagues, the “Google Cloud Generative AI Leader” program will equip you to pass this certification exam and boost your career earnings growth. Learn how to lead successful generative AI initiatives by learning to match real business problems to the right Google Cloud gen AI tools, techniques, and governance. Understand Google Cloud Generative AI Leadership: Prepare for the Google Cloud Generative AI Leader Certification by mastering generative AI fundamentals, large language models (LLMs), foundation models, and enterprise AI strategy. Gain Hands-On Experience with Gemini and Vertex AI: Learn how to leverage Google Gemini, Vertex AI, Google AI Studio, NotebookLM, AI agents, and retrieval-augmented generation (RAG) to drive business innovation and AI transformation. Build High-Impact AI Solutions: Develop expertise in prompt engineering, model selection, grounding techniques, AI governance, responsible AI, and secure AI implementation to improve AI performance and business outcomes. Skill-based training modules include: 1) Core Gen AI Concepts and Terminology, 2) Machine Learning Approaches and Lifecycle, 3) Data Types and Quality, 4) Gen AI Landscape and Model Selection, 5) Google Clouds Gen AI Offerings, 6) Prebuilt Gen AI Solutions, 7) Customer Experience Solutions, 8) Developer Empowerment Tools, 9) Agent Tooling and Studio Environments, 10) Overcoming Foundation Model Limitations, 11) Prompt Engineering Techniques, 12) Grounding Techniques and Model Control, 13) Implementing Gen AI Solutions, 14) Integration and Impact Measurement, 15) Secure AI, and 16) Responsible AI.

Enroll today (teams & executives are welcome): https://tinyurl.com/4vba64zd

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 (kindly subscribe and share with your team)

AWS Certified Machine Learning Engineer - Associate (Cert Prep)

ML Colleagues, the “AWS Certified Machine Learning Engineer - Associate” program will enable you to boost your career and income potential. It will teach critical skills to design and deploy scalable ML solutions. The core skills covered are: Data Preparation: Ingest, transform, and clean data using SageMaker. Pipeline Automation: Build and deploy end-to-end ML workflows. Solution Management: Monitor, secure, and optimize AWS-based ML systems. It offers hands-on AWS training that is ideal for software developers, data scientists, ML engineers, and DevOps professionals, this course blends theory with practical projects to help you design production-ready ML architectures, automate CI/CD pipelines for efficient deployment and implementing security best practices for cloud-based systems.

Enroll today (teams & executives are welcome): https://tinyurl.com/y8uanesp

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)

Generative AI Software Engineering Specialization

AI Colleagues, in the “Generative AI Software Engineering Specialization” you will progressively build an integrated AI-powered business automation system—starting with Claude Code to rapidly prototype applications, then developing Python agents that autonomously handle complex workflows like document analysis and data processing, engineering sophisticated prompts that enable precise AI reasoning across domains, and finally deploying custom GPTs that serve as intelligent interfaces for end users. Learn to: Develop Python-based agents that independently process data, analyze documents, and execute complex multi-step workflows without human intervention. Orchestrate Claude Code agents to develop software in minutes, managing parallel development streams across multiple git branches simultaneously. Engineer sophisticated prompts and build specialized GPTs that understand business contexts and automate domain-specific professional tasks. Acquire highly marketable skills including: Software Design, Prompt Patterns, Automation, Multimodal Prompts, Agentic Systems, Software Engineering, AI Personalization, AI and Machine Learning (AI/ML), Generative AI Agents, Retrieval-Augmented Generation, Software Testing, Development, Architecture, and Development Tools. You will use tools such as Generative AI, Agentic Workflows, Claude Code, Anthropic Claude, ChatGPT, and Prompt Engineering. Hands-on lessons cover: 1) Claude Code: Software Engineering with Generative AI Agents, 2) AI Agents and Agentic AI with Python and Generative AI, 3) Prompt Engineering for ChatGPT, and 4) OpenAI GPTs: Creating Your Own Custom AI Assistants.

Enroll today (teams & executives are welcome): https://imp.i384100.net/GbYL2L 

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)

NVIDIA-Certified Generative AI LLMs Specialization - Exam Prep (NCA-GENL)

Colleagues, the “NVIDIA-Certified Generative AI LLMs - Associate Specialization” is intended for candidates working in AI, machine learning, and deep learning roles who want to enhance their expertise in generative AI and large language models (LLMs). This specialization will prepare learners to design, build, optimize, and deploy generative AI solutions using NVIDIA technologies. If you're seeking a role in AI development, research, or cloud-based AI solutions, this focused course will equip you with the necessary skills and knowledge to become NVIDIA Generative AI LLMs - Associate certified. Training modules cover: 1) Fundamentals of Machine Learning, 2) Fundamentals of Deep Learning, 3) NLP: From Foundations to Transformers, 4) Large Language Models and Generative AI Deployment, 5) Prompt Engineering and Data Analysis, and 6) LLM Experimentation, Deployment, and Ethical Considerations, and 7) Applied Learning Project. You will gain high-demand skills in Model Evaluation, Large Language Modeling, Plot (Graphics), Natural Language Processing, LLM Application, Time Series Analysis and Forecasting, Convolutional Neural Networks, Transfer Learning, Responsible AI, Image Analysis, Unsupervised Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Ethics, Data Preprocessing, Deep Learning, Prompt Engineering Tools, and Generative Model Architectures. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/E0YvPD 

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 (thank you for subscribing & and sharing with your team)

Claude AI Tools for Beginners Specialization

Colleagues, the “Claude AI Tools for Beginners Specialization” bridges the gap between basic browser-based prompting and advanced, environment-integrated AI collaboration, guiding you from Claude's reasoning foundations to local execution. Through four comprehensive courses, you will master text and data analysis, transform Claude into an autonomous Chief of Staff to automate local desktop workflows, build scalable Figma design systems, and deploy Claude Code directly in your terminal to ship features faster. Designed for modern professionals, developers, and creators, this program equips you with the strategic skill set required to delegate complex, multi-step tasks and lead AI-driven business solutions. You will master Claude’s reasoning to analyze complex data and deploy local agentic workflows that automate file management and administrative tasks, and leverage Claude to build scalable design tokens, overcome the blank canvas, and run Claude Code in your terminal to ship and refactor code faster. Gain highly marketable skills in User Interface and User Experience (UI/UX) Design, Code Review, Business Writing, Design, Organizational Skills, Marketing Automation, Strategic Thinking, AI Security, and Web Design. You will use AI tools such as Prompt Engineering, Claude Code, Vibe coding, AI Workflows, Generative AI, AI Orchestration, Figma (Design Software), and Anthropic Claude. Hands-on lessons include: 1) Claude AI Comprehensive Guide, 2) Claude Cowork for Automating Processes, 3) Claude Design Fundamentals, and 4) Mastering Claude Code: From Setup to Real Projects.

Enroll today (teams & executives are welcome): https://imp.i384100.net/E0Yd3n

For your listening-reading pleasure:

Enroll today (teams & executives are welcome): https://imp.i384100.net/3kzkVX 

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 (kindly subscribe and share with your team)

Degree in Artificial Intelligence (BCC)

Colleagues, we invite you to the “Online Degree in Artificial Intelligence” program from the Blockchain Council (120 training hours). It is a comprehensive online degree program covering the full spectrum of artificial intelligence — from foundations to advanced specializations in ML, NLP, and computer vision. Through this expert-led Online Degree in Artificial Intelligence Course, you will explore key concepts, enterprise strategies, and real-world use cases across industries. The program equips you with both technical knowledge and strategic insight to excel in this rapidly evolving field. Gain valuable, high-demand skills in Foundations of Artificial Intelligence, Machine learning Algorithms and models, Deep learning and neural networks, Natural language processing, AI ethics and responsible AI, Model training and optimization, Real-world AI applications, Hands-on: Mathematics for AI, Programming Foundations - Machine Learning, Mathematics for AI, Programming Foundations, Machine Learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning, AI Ethics, AI Strategy, Capstone Research, and Certification.

Enroll today (teams & executives are welcome): https://tinyurl.com/5ff6jf9m

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 (thank you for subscribing & and sharing with your team)

AI Infrastructure and Operations Fundamentals (NVIDIA)

AI Colleagues, the “AI Infrastructure and Operations Fundamentals” program from NVIDIA” is designed for enterprise professionals, this course provides invaluable insights into the ever-changing realm of AI. Whether you're a seasoned professional or just beginning your journey into AI, this course is essential for staying ahead in today's rapidly evolving technological landscape. This course is part of the preparation material for the “NVIDIA-Certified Associate: AI Infrastructure and Operations" certification. You will learn to explore diverse applications of AI across various industries, understand concepts like Machine Learning, Deep Learning, training and inference, trace the evolution of AI Technologies. From its inception to the revolutionary advances brought by Generative AI, and the role of GPUs, deep learning frameworks and AI software stack, and considerations when deploying AI workloads on a data center on prem, in the cloud, on a hybrid model, or on a multi-cloud environment. Training lessons address: 1) Introduction to AI, 2) AI Infrastructure, 3) AI Operations, and 4) Course CompletionTest. And gain high-demand skills: Machine Learning, Infrastructure Architecture, Cloud Deployment, Cloud Management, Network Infrastructure, Cloud Infrastructure, Information Technology Operations, Data Infrastructure, Data Centers, AI literacy, Cloud Computing, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Devops Tools, MLOps (Machine Learning Operations), Artificial Intelligence, and Large Language Modeling.

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

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)