AI Academy: 2025

Tuesday, May 27, 2025

Introduction to Artificial Intelligence (AI)

Colleagues, in the “Introduction to Artificial Intelligence (AI)” program you will learn to describe what AI is and explain the core concepts related to AI, demonstrate how AI applications and use cases can transform our lives and our work, recognize the potential and impact of AI to transform businesses and careers, grasp the issues, limitations, and ethical concerns surrounding AI. You will acquire high-demand skills in Computer Vision, Prompt Engineering, Artificial Intelligence, Digital Transformation, Governance, Emerging Technologies, Machine Learning, Natural Language Processing, Data Ethics, Generative AI, Business Transformation, Business Technologies, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Automation, Ethical Standards and Conduct, Large Language Modeling, Artificial Neural Networks, and Applied Machine Learning. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Furthermore, you’ll examine AI’s application across domains such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. Skill-oriented training modules include: 1) Introduction and Applications of AI, 2) AI Concepts, Terminology, and Application Domains, 3) Business and Career Transformation Through AI, 4) Business and Career Transformation Through AI, and 5) Issues, Concerns, and Ethical Considerations.

Enroll today (teams and execs are welcome): https://imp.i384100.net/RGYKo9

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

Tuesday, May 20, 2025

Generative AI for Everyone

Colleagues, in the “Generative AI for Everyone” program you will learn what generative AI is and how it works, its common use cases, and what this technology can and cannot do, and How to think through the lifecycle of a generative AI project, from conception to launch, including how to build effective prompts. The potential opportunities and risks that generative AI technologies present to individuals, businesses, and society. Skills you'll gain - Generative AI Tools, Large Language Models, AI strategy, Generative AI and AI Productivity. Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. You’ll get hands-on time with generative AI projects to put your knowledge into action and gain insight into its impact on both business and society. Skill-based lessons include: 1) Introduction to Generative AI - How Generative AI works, LLMs as a thought partner, AI is a general purpose technology, Writing, Reading, Chatting, What LLMs can and cannot do, Tips for prompting, Image generation, 2) Generative AI Projects - Using generative AI in software applications, Trying generative AI code yourself, Lifecycle of a generative AI project, Cost intuition, Retrieval Augmented Generation (RAG), Fine-tuning, Pre-training an LLM, Choosing a model, How LLMs follow instructions: Instruction tuning and RLHF, Tool use and agents, and 3) Generative AI in Business and Society - Day-to-day usage of web UI LLMs, Task analysis of jobs, Additional job analysis examples, New workflows and new opportunities, Teams to build generative AI software, Automation potential across sectors, Concerns about AI, Artificial General Intelligence, Responsible AI, and Building a more intelligent world.

Enroll today (teams & execs welcome): https://imp.i384100.net/9gKrZ4

Download your free AI-ML-DL - Career Transformation Guide.

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) or (Kindle)

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

Monday, May 19, 2025

Deep Learning Specialization

Colleagues, in the “Deep Learning Specialization” you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing. Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications. Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow. Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data. Train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering. Gain high-demand skills in Applied Machine Learning, Computer Vision, Natural Language Processing, Python Programming, Image Analysis, Keras (Neural Network Library), Data Processing, Deep Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, and Tensorflow. Training modules involve: 1) Neural Networks and Deep Learning, 2) Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, 3) Structuring Machine Learning Projects, 4) Convolutional Neural Networks, and 5) Sequence Models.

Enroll today (teams & execs welcome): https://imp.i384100.net/EK3BjP

Download your free AI-ML-DL - Career Transformation Guide.

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) or (Kindle)

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

Wednesday, May 14, 2025

Microsoft AI Product Manager Professional Certificate

Colleagues, in the “Microsoft AI Product Manager Professional Certificate” program will equip you to understand and apply core product management concepts, principles, and methodologies to oversee the development of products from initial idea to release, aligning them with business goals and customer needs, collect and analyze market data to identify product gaps and opportunities, and conduct thorough competitive analysis to generate new product ideas and differentiate from competitors, create high-level product strategies and detailed road maps that outline objectives, milestones, timelines, and priorities to guide product development and ensure alignment with business goals, and apply UX/UI principles to develop user-friendly and interactive product designs, creating wireframes and mockups to communicate design ideas effectively. Acquire highly marketable skills in Product Lifecycle Management, Market Opportunities, Stakeholder Management, Market Research, Product Development, Competitive Analysis, Market Analysis, and Product Roadmaps. Become proficient in launching software products using Microsoft tools like Copilot, Power BI, and Azure. Drive data-driven decisions and collaborate effectively, key in today's tech world. Gain expertise in B2B market research, cloud strategy, and product launch, building a strong portfolio via hands-on projects and real-world cases. Learn to manage enterprise products with security, compliance, and scalability, preparing for roles like Associate Product Manager or Product Analyst. This growing field offers competitive salaries driven by demand for skilled professionals navigating complex enterprise settings. Our curriculum's focus on Microsoft's toolset, including Copilot's AI insights, sets you apart, ensuring proficiency in industry-leading tools. It offers practical knowledge and methodologies tailored to Microsoft's ecosystem. Even without experience, this program equips you with essential skills and confidence to excel. Top objectives: B2B market analysis with Power BI, cloud-aligned roadmaps with Microsoft Project, enterprise UX/UI using Fluent Design System, Copilot for product tasks, and security/compliance strategies. Ideal candidates are analytical, collaborative, and driven to innovate. Skill-based training modules include: 1) Enterprise Product Management Fundamentals, 2) Market Research and Competitive Analysis, 3) Product Strategy and Roadmapping, 4) Product Design and UX/UI Fundamentals, and Product Launch and Post-Launch Management. In the Applied Learning Project you will analyze markets, define requirements, design interfaces, strategize launches, and manage product life cycles, emphasizing enterprise software and AI.

Enrol today and advance your career: https://imp.i384100.net/je52b0

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

Friday, May 9, 2025

Artificial Intelligence - 10 Career Success Strategies & Top Certifications (2025)

Colleagues, whether you are seeking advancement in your current company or looking to make a change in your career path, here are 10 strategies that will accelerate your Artificial Intelligence professional goals and earnings potential along with top industry-recognized certifications that will give you a competitive edge.

#1 - Leadership: Demonstrating leadership is key to your upward mobility. Leading projects within your department is a good starting point. Leading more complex inter-departmental/interdisciplinary programs is the next step. And third, leading strategies initiatives involving customers, ecosystem partners and the analyst community is a quantum step toward success.

#2 - Creativity: Creative, innovative, outside-the-box thinking is vital. Your development of creative problem-solving skills will set you above and beyond your colleagues.

#3 - Volunteer: Be proactive - anticipate needs before they become mainstream. Be the first to raise your hand when an executive identifies a mission-critical challenge that needs to be resolved. Show initiative. Taking on new responsibilities may require you to negotiate with your management the delegation of some of your current responsibilities.

#4 - Portfolio: Build a robust project portfolio of your greatest achievements. Make this accessible to your current management hierarchy (secure internal portals) and your industry at-large (LinkedIn and Github are great places to start).

#5 - Subject Matter Expert: Become a recognized SME in your domain (job function and/or industry) both within your company and externally with customers, business partners and industry analysts.

#6 - Publishing & Networking: Publish a weekly or monthly series on best practices, lessons learned or future industry trends. Engage with colleagues across disciplines and organizations within your business. Also build an online networking via professional associations, forums and events. Public speaking opportunities are an excellent means for gaining recognition.

#7 - KPIs (Key Performance Indicators): Understand how your senior management (e.g. Director, Vice President, General Manager) measure success and explicitly link your deliverables to their highest priority needs.

#8 - Interviews (internal or external): Always keep in mind the three most fundamental industry questions any hiring manager-executive is seeking to answer. First - Can you do the job? This question focuses on your skills, certifications and accomplishments. Second - Will you do the job? This question addresses your motivation and passion for doing the job at hand. And third - Will you fit in? Management wants to know that you are a team player, work well with others and are flexible.

#9 - Adding Value is Supreme: Boost revenue, reduce costs and enhance customer satisfaction-retention. You are not just performing a job, you are fully committed and contributing to the overall success of your company.

#10 - Top Certifications, Master Classes, Bootcamps and Specializations: Will bolster your Artificial Intelligence career growth and income - adding an extra 5%-10% to your compensation. Industry-recognized certifications keep you abreast of industry trends and boost upward mobility. Don’t wait, enroll today!

AI:

Generative AI:

Generative AI with Langchain and Hugging Face

Generative AI Course: Masters Program

Our analysis indicates that obtaining an industry-leading professional certification that increases your annual compensation by 5%-10% could potentially lead to an additional income of $250,000 to $500,000 over a 40-year career, not even accounting for the compounding effect of future salary growth on that initial percentage increase. When you factor in job promotions - perhaps every 5 years - this increases the net compensation increase two fold over the base case above. This highlights the significant long-term financial benefits of investing in professional development.

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

Monday, May 5, 2025

Machine Learning - 10 Career Success Strategies & Top Certifications (2025)

Colleagues, whether you are seeking advancement in your current company or looking to make a change in your career path, here are 10 strategies that will accelerate your Machine Learning professional goals and earnings potential along with top industry-recognized certifications that will give you a competitive edge.

#2 - Creativity: Creative, innovative, outside-the-box thinking is vital. Your development of creative problem-solving skills will set you above and beyond your colleagues.

#5 - Subject Matter Expert: Become a recognized SME in your domain (job function and/or industry) both within your company and externally with customers, business partners and industry analysts.

#10 - Top Certifications, Master Classes, Bootcamps and Specializations: Will bolster your Machine Learning career growth and income - adding an extra 5%-10% to your compensation. Industry-recognized certifications keep you abreast of industry trends and boost upward mobility. Don’t wait, enroll today!