TensorFlow Developer Professional Certificate

Colleagues, in the “TensorFlow Developer Professional Certificate” you will learn to build AI apps with Tensorflow. Build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis, along with best practices and hands-on experience in one of the most in-demand deep learning frameworks. Gain expertise in: Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for computer vision applications. Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout. Build natural language processing systems using TensorFlow. Apply RNNs, GRUs, and LSTMs as you train them using text repositories. Acquire high-demand skills including: RNNs, Computer Vision, Convolutional Neural Network, Forecasting, Transfer Learning, Time Series, Machine Learning, Tokenization, Dropouts, Natural Language Processing, TensorFlow, Augmentation, Tensorflow, Data Augmentation, Text Vectorization, and Prediction. This program can help you prepare for the Google TensorFlow Certificate exam. Training modules address: 1) Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, 2) Convolutional Neural Networks in TensorFlow, 3) Natural Language Processing in TensorFlow, and 4) Sequences, Time Series and Prediction. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/3e5gan  

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) (Kindle)

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

Generative AI for Software Development Skill Certificate

Colleagues, the new “Generative AI for Software Development Skill Certificate” program will boost your career and equip you to write practical prompt engineering and pair programming techniques with LLMs to write, test, and improve your code. As AI-powered coding tools are set to transform the industry, with Gartner predicting 70% adoption by platform engineering teams by 2027, this course will support you in learning these technologies at all stages of your career. Learn how LLMs work. By knowing how machine learning systems work, you’ll be able to use them more effectively to support your work as a developer. Experiment quickly. Using LLMs can speed up your ability to prototype and test new features, allowing you to quickly iterate and ship your code. Optimize your code quality. Get to production-ready code faster by working with an LLM to find and fix bugs. Team up with AI on engineering tasks. Break through roadblocks and with your team by leveraging an LLM’s knowledge of development roles and tasks. Gain highly marketable skills, involving: 1) Software Engineering, 2) Large Language Models, 3) Software Development, 4) Generative AI, 5) Machine Learning, 6) Prompting best practices for software development, 7) Assigning an LLM a role or persona, 8) Designing data structures for real world deployment at scale, 9) Analyzing code with an LLM, 10) Pair-coding with an LLM, 11) Debugging dependency conflicts using LLMs, 12) Writing comprehensive software tests with LLMs, 13) Generating clear, effective documentation with the help of LLMs, 14) Implementing automated testing frameworks, 15) Managing software dependencies with AI assistance, 16) Designing software applications with AI guidance, 17) Data serialization and configuration-driven development, 18) Optimizing database queries with AI assistance, 19) Implementing databases from scratch using LLMs, and 20) Applying Gang of Four design patterns using LLMs. Skill-based training lessons include: Introduction to Generative AI for Software Development, Team Software Engineering with AI, and AI-Powered Software and System Design.

Enroll today (teams & executives are welcome):  https://imp.i384100.net/LKP7g3 

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) (Kindle)

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

Machine Learning Specialization (Stanford)

Colleagues, in the “Machine Learning Specialization” from Stanford University and DeepLearning.AI you will master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng. Learn to build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression), train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods, apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection, and build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model. Gain high-demand skill in Logistic Regression, Artificial Neural Network, Linear Regression, Decision Trees and Recommender Systems. The four training modules include: 1) Supervised Machine Learning: Regression and Classification, 2) Advanced Learning Algorithms, 3) Unsupervised Learning, Recommenders, and 4) Reinforcement Learning.

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

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) (Kindle)

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

Google AI Essentials (training)

Colleagues, the “Google AI Essentials” program is designed to help people across roles and industries get essential AI skills to boost their productivity, zero experience required. The course is taught by AI experts at Google who are working to make the technology helpful for everyone. In under 10 hours, they’ll do more than teach you about AI — they’ll show you how to actually use it in the real world. Stuck at the beginning of a project? You’ll learn how to use AI tools to generate ideas and content. Planning an event? You’ll use AI tools to help research, organize, and make more informed decisions. Drowning in a flooded inbox? You’ll use AI tools to help speed up those daily work tasks, like drafting email responses. You’ll also learn how to write effective prompts and use AI responsibly by identifying AI’s potential biases and avoiding harm. After you complete the course, you’ll earn a certificate from Google to share with your network and potential employers. By using AI as a helpful collaboration tool, you can set yourself up for success in today’s dynamic workplace — and you don’t even need programming skills to use it. Skill-based modules include: 1) Introduction to AI, 2) Maximize Productivity With AI Tools, 3) Discover the Art of Prompt Engineering, 4) Use AI Responsibly, and 5) Stay Ahead of the AI Curve. Learn generative AI tools to help develop ideas and content, make more informed decisions, and speed up daily work tasks. Write clear and specific prompts to get the output you want - you’ll apply prompting techniques to help summarize, create tag lines, and more. Use AI responsibly by identifying AI’s potential biases and avoiding harm. Develop strategies to stay up-to-date in the emerging landscape of AI. Gain high demand and highly marketable skills in Artificial Intelligence (AI), Prompt Engineering, Large Language Models (LLMs) and Generative AI.

Enroll today (teams & executives are welcome): http://imp.i384100.net/LK2LYO 

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) (Kindle)

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

AI Foundations for Everyone Specialization

Colleagues, the “AI Foundations for Everyone Specialization” will develop job-ready AI skills in Cloud Computing, Human Computer Interaction, Human Learning, Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, and Computer Programming. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks. It will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. You will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios. Larners will have had hands-on interactions with several AI environments and applications, and have built and deployed an AI enabled chatbot on a website – without any coding. Applied Learning Project: Learners would have developed,  tested, and deployed a Watson AI powered customer service chatbot on a website to delight their clients. Skill-based training modules include: 1) Introduction to Artificial Intelligence (AI), 2) Generative AI: Introduction and Applications, 3) Generative AI: Prompt Engineering Basics, and Building AI Powered Chatbots Without Programming.

Enroll today (teams & execs welcome): https://imp.i384100.net/EEZ42X 

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)

Structuring Machine Learning Projects (training)

Colleagues, the “Structuring Machine Learning Projects” program is part of the Deep Learning Specialization from DeppLearning.AI. Learn to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. Gain highly marketable skills in Decision-Making, Machine Learning, Deep Learning, Inductive Transfer, and Multi-Task Learning. Training modules include: 1) ML Strategy - Orthogonalization, Single Number Evaluation Metric, Satisficing and Optimizing Metric, Train/Dev/Test Distributions, Size of the Dev and Test Sets, When to Change Dev/Test Sets and Metric?, Human-level Performance?, Avoidable Bias, Understanding Human-level Performance, Surpassing Human-level Performance, Improving your Model Performance, and Andrej Karpathy Interview; and 2) ML Strategy - Part II - Carrying Out Error Analysis, Cleaning Up Incorrectly Labeled Data, Build your First System Quickly, then Iterate, Training and Testing on Different Distributions, Bias and Variance with Mismatched Data Distributions, Addressing Data Mismatch, Transfer Learning, Multi-task Learning, What is End-to-end Deep Learning?, Whether to use End-to-end Deep Learning, and Ruslan Salakhutdinov Interview. 

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

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)

Deep Learning A-Z: Neural Networks, AI & ChatGPT (training)

Colleagues, in the “Deep Learning A-Z: Neural Networks, AI & ChatGPT” program you will learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included. [188 lectures • 22+ training hours]. Understand the intuition behind Artificial Neural Networks. Apply Artificial Neural Networks in practice. Understand the intuition behind Convolutional Neural Networks. Apply Convolutional Neural Networks in practice. Understand the intuition behind Recurrent Neural Networks. Apply Recurrent Neural Networks in practice. Understand the intuition behind Self-Organizing Maps. Apply Self-Organizing Maps in practice. Understand the intuition behind Boltzmann Machines. Apply Boltzmann Machines in practice. Understand the intuition behind AutoEncoders. Apply AutoEncoders in practice. Skill-based training lessons include: 1) Artificial Neural Networks - ANN Intuition, Building an ANN, 2) Convolutional Neural Networks - CNN Intuition, Building a CNN, 3) Recurrent Neural Networks  - RNN Intuition, Building a RNN, Evaluating and Improving the RNN, 4) Self Organizing Maps - SOMs Intuition, Building a SOM, Mega Case Study, 5) Boltzmann Machines - Boltzmann Machine Intuition, Building a Boltzmann Machine, 6) AutoEncoders - AutoEncoders Intuition, Building an AutoEncoder, and 7) Get the Machine Learning Basics - Regression & Classification Intuition, Data Preprocessing, Data Preprocessing in Python, and Logistic Regression. 

Enroll today (teams & execs welcome): https://tinyurl.com/bdfe2548 

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

Success awaits you! Lawrence E. Wilson - AI Academy (share & subscribe)