Artificial Intelligence - Interviews, Project Portfolios & Certifications (Your competitive edge)

Colleagues, are you seeking to land the next job in your Artificial Intelligence career journey … either within your current company or with a new employer? All hiring managers need to answer three fundamental questions in the interview process before making a job offer.

Interview Questions

1. Skills: Can you do the job?

2. Motivation: Will you do the job?

3. Fit: Will you be a team player and fit into the company culture?

Professional Portfolio

Creating a high qualityArtificial Intelligence professional portfolio combined with having industry-leading certifications - along with relevant work experience - will put you at the top of the candidate pool when answering the “Skills” question.:

What is a Project Portfolio? 

1. A project portfolio is a collection of projects, programs, and operations managed collectively to achieve strategic objectives. 

2. It demonstrates your diverse skills, experience, and proven ability to deliver results, showcasing your value and strategic impact to potential employers or for internal advancement.

What Makes a Project Portfolio Valuable?

1. Strategic Alignment: Connecting projects to organizational goals.

2. Resource Management: Efficient allocation of people and assets.

3. Risk Management: Identifying and mitigating potential threats.

4. Performance Monitoring: Tracking progress and outcomes.

5. Stakeholder Communication: Keeping all parties informed and engaged.

What are the best portals to host your project portfolio?

1. GitHub

2. LinkedIn

3. Behance

4. Dribbble

5. Kaggle

6. Hugging Face

7. Personal Website (WordPress, Wix, Squarespace, Webflow - Offers maximum customization & a professional brand presence)

Industry-Leading Certifications & Training

AI:

• Applied Artificial Intelligence Specialization  

• Artificial Intelligence: Foundations using R Specialization

• Artificial Intelligence Fundamentals with Python and SQL Specialization

• Artificial Intelligence Specialization

• Contact Center AI: Conversational Design Fundamentals

• Data Analytics Professional Certificate

• Google Data Analytics Professional Certificate 

• IBM Data Analyst Professional Certificate

• IBM Artificial Intelligence Professional Certificate

• Microsoft Power BI Data Analyst Professional Certificate (Exam PL-300) 

• TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

• Understanding Artificial Intelligence

Generative AI:

• Generative AI

• Generative AI Engineering Professional Certificate 

• Generative AI for Beginners

• Generative AI for Everyone 

Generative AI with Langchain and Hugging Face

• Generative AI Course: Masters Program

Enroll today (teams & executives are welcome).  

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 - Nanodegree Program

Colleagues, in the “Deep Learning - Nanodegree Program” you will build foundational skills in deep learning by designing and training neural networks to solve complex real-world problems. You’ll begin with the essentials of neural networks, advancing to specialized architectures like Convolutional and Recurrent Neural Networks, along with Generative Adversarial Networks. Through projects, create models for applications such as image classification, sentiment analysis, and face generation, gaining hands-on experience with PyTorch and advanced training techniques. Ideal for those aiming to harness the potential of deep learning, this experience prepares you to tackle AI challenges across various domains. Gain highly marketable skills involving: 1) Introduction to Deep Learning - Neural networks • Deep learning • Gradient descent • Overfitting prevention • scikit-learn • Deep learning tools • Model performance metrics • Perceptron • PyTorch • Advanced probability • Training neural networks, 2) Convolutional Neural Networks - Image pre-processing • Image segmentation • Neural network initialization • Bounding boxes • Semantic image segmentation • Convolutional kernels • Training neural networks • U-net • Convolutional neural networks • Autoencoders • Image classification • Transfer learning • Model training • Object detection • PyTorch, 3) RNNs and Transformers - Training neural networks • Backpropagation • NLP transformers • Hyperparameter tuning • Gpt3 • Recurrent neural networks • Bert • Long-short term memory networks • Neural networks • Word2vec, and 4) Building Generative Adversarial Networks - Generative adversarial networks • Model evaluation • Deep learning techniques • Markov games • Deep learning model optimization • Hyperparameter tuning • Cyclegan • Image generation. 

Enroll today (teams & execs welcome): https://tinyurl.com/4dpzyych

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)

AI Agent Developer Specialization

Colleagues, in the “AI Agent Developer Specialization” you will learn to design, build, and refine intelligent software agents using Python, generative AI, and agentic architectures for real-world applications. You will build and deploy intelligent AI agents using Python, tools, memory, and reasoning, create custom GPTs and apply prompt engineering techniques for real-world tasks, and design trustworthy, responsible AI systems aligned with best practices. Gain high-demand skills involving Large Language Modeling, Artificial Intelligence, Generative AI Agents, Python Programming, Verification And Validation, Risk Management Framework, Generative AI, Productivity, ChatGPT, Agentic systems, AI Personalization, and Data Presentation. You will 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. Skill-based training modules address: 1) AI Agents and Agentic AI with Python and Generative AI, 2) AI Agents and Agentic AI Architecture in Python, 3) OpenAI GPTs: Creating Your Own Custom AI Assistants, 4) Prompt Engineering for ChatGPT, 5) ChatGPT Advanced Data Analysis, and 6) Trustworthy Generative AI.

Enroll today (teams & execs welcome): https://imp.i384100.net/e1Bv4D 

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)

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)

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)

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)