Embark on an empowering journey into the world of data science and AI with our course tailored for individuals without a coding background. Designed as a roadmap to navigate the complexities of this dynamic field, this course unveils the secrets to securing a data science job and pursuing a thriving career in AI.
I Was Just Like You
I didn't have a Data Science degree, trying to break into the field without experience. 6 years later, I've been working at cutting edge AI companies in Silicon Valley as a Senior Data Scientist with a competitive tech salary. I've also been working as an official career coach, helping dozens of others just like you to get into the data industry as a Data Science Mentor at SharpestMinds (YCombinator Company), as well as through UC Berkeley Distinguished Alumni Network.
Beat the Unimaginable Odds (sometimes 1 to 10000) Through Insider Knowledge I've gained in Hiring Committee
Craft standout resumes that beat the algorithms of Applicant Tracking Systems (ATS). Learn the art of standing out among thousands of applicants and understand why projects alone might not land you the job. Discover strategies to crack the intelligence test and optimize your job application approach. Explore the diversity of data roles and gain insights into the application cycle stages—from engaging with recruiters and hiring managers to nailing technical interviews, take-home assignments, and negotiating offers.
Demystifying the Data Space
Unravel common and foundational queries, from the necessity of a master's degree to understanding the nuances between roles like data scientist, data analyst, and machine learning engineer. Discover essential portfolio projects, delve into commonly used tools and libraries (such as Python, SQL, and Dashboard creation), and explore the significance of domain knowledge in shaping a successful career in data science. Plus, learn about certifications that can set you apart in this competitive landscape.
Creating Your Path in Data Science
Finally, gain practical advice on creating personal branding, finding mentorship, and maintaining a healthy job pipeline. Understand the intricacies of the job application cycle and learn how to navigate through each stage effectively, avoiding common pitfalls.
Join us to acquire the skills, strategies, and confidence needed to triumph in the competitive data science and AI job market, regardless of your coding background. Unlock a world of opportunities and steer your career towards success in 2024 and beyond.
Embark on an empowering journey into the world of data science and AI with our course tailored for individuals without a coding background. Designed as a roadmap to navigate the complexities of this dynamic field, this course unveils the secrets to securing a data science job and pursuing a thriving career in AI.
I Was Just Like You
I didn't have a Data Science degree, trying to break into the field without experience. 6 years later, I've been working at cutting edge AI companies in Silicon Valley as a Senior Data Scientist with a competitive tech salary. I've also been working as an official career coach, helping dozens of others just like you to get into the data industry as a Data Science Mentor at SharpestMinds (YCombinator Company), as well as through UC Berkeley Distinguished Alumni Network.
Beat the Unimaginable Odds (sometimes 1 to 10000) Through Insider Knowledge I've gained in Hiring Committee
Craft standout resumes that beat the algorithms of Applicant Tracking Systems (ATS). Learn the art of standing out among thousands of applicants and understand why projects alone might not land you the job. Discover strategies to crack the intelligence test and optimize your job application approach. Explore the diversity of data roles and gain insights into the application cycle stages—from engaging with recruiters and hiring managers to nailing technical interviews, take-home assignments, and negotiating offers.
Demystifying the Data Space
Unravel common and foundational queries, from the necessity of a master's degree to understanding the nuances between roles like data scientist, data analyst, and machine learning engineer. Discover essential portfolio projects, delve into commonly used tools and libraries (such as Python, SQL, and Dashboard creation), and explore the significance of domain knowledge in shaping a successful career in data science. Plus, learn about certifications that can set you apart in this competitive landscape.
Creating Your Path in Data Science
Finally, gain practical advice on creating personal branding, finding mentorship, and maintaining a healthy job pipeline. Understand the intricacies of the job application cycle and learn how to navigate through each stage effectively, avoiding common pitfalls.
Join us to acquire the skills, strategies, and confidence needed to triumph in the competitive data science and AI job market, regardless of your coding background. Unlock a world of opportunities and steer your career towards success in 2024 and beyond.
Mastering AI Fundamentals: AI-900 Exam Practice
Dive into the core principles of Artificial Intelligence with our comprehensive AI-900 Exam Practice course!
Overview: Embark on a learning journey designed to elevate your understanding of AI fundamentals. This meticulously curated course focuses on preparing you for the Microsoft Azure Fundamentals AI-900 Exam. Delve into the world of AI, exploring its applications, methodologies, and ethical considerations.
What You'll Learn:
Foundations of AI: Understand the basic principles and applications of Artificial Intelligence, including machine learning, natural language processing, and computer vision.
Azure AI Essentials: Explore the Azure AI services ecosystem, discovering its capabilities and functionalities for various AI solutions.
Responsible AI Practices: Delve into the ethical implications of AI and learn strategies to ensure fairness, transparency, and accountability in AI solutions.
Exam Readiness: Gain exam-specific insights, tips, and practice scenarios, mastering the exam content and format.
Why Enroll:
Hands-On Practice: Engage in hands-on exercises and simulated exam scenarios to reinforce your learning and boost confidence.
Expert Guidance: Learn from industry experts and seasoned professionals in AI, leveraging their knowledge and experience.
Career Advancement: Enhance your skill set, validate your expertise, and open doors to diverse opportunities in the AI domain.
Who Is It For: This course caters to aspiring AI enthusiasts, students, professionals, or anyone aiming to solidify their understanding of AI fundamentals and ace the AI-900 certification exam.
Join us and embark on an enriching learning experience that propels you toward AI proficiency and exam success!
Mastering AI Fundamentals: AI-900 Exam Practice
Dive into the core principles of Artificial Intelligence with our comprehensive AI-900 Exam Practice course!
Overview: Embark on a learning journey designed to elevate your understanding of AI fundamentals. This meticulously curated course focuses on preparing you for the Microsoft Azure Fundamentals AI-900 Exam. Delve into the world of AI, exploring its applications, methodologies, and ethical considerations.
What You'll Learn:
Foundations of AI: Understand the basic principles and applications of Artificial Intelligence, including machine learning, natural language processing, and computer vision.
Azure AI Essentials: Explore the Azure AI services ecosystem, discovering its capabilities and functionalities for various AI solutions.
Responsible AI Practices: Delve into the ethical implications of AI and learn strategies to ensure fairness, transparency, and accountability in AI solutions.
Exam Readiness: Gain exam-specific insights, tips, and practice scenarios, mastering the exam content and format.
Why Enroll:
Hands-On Practice: Engage in hands-on exercises and simulated exam scenarios to reinforce your learning and boost confidence.
Expert Guidance: Learn from industry experts and seasoned professionals in AI, leveraging their knowledge and experience.
Career Advancement: Enhance your skill set, validate your expertise, and open doors to diverse opportunities in the AI domain.
Who Is It For: This course caters to aspiring AI enthusiasts, students, professionals, or anyone aiming to solidify their understanding of AI fundamentals and ace the AI-900 certification exam.
Join us and embark on an enriching learning experience that propels you toward AI proficiency and exam success!
This course is preparation for CT-AI exam, it will help you go through all the sections of syllabus with sample questions
You can verify your knowledge for every type of content provided to pass exam.
Course is sorted like syllabus sections:
1. Introduction to AI
1.1 Definition of AI and AI Effect
1.2 Narrow, General and Super AI
1.3 AI-Based and Conventional Systems
1.4 AI Technologies
1.5 AI Development Frameworks
1.6 Hardware for AI-Based Systems
1.7 AI as a Service (AIaaS)
1.8 Pre-Trained Models
1.9 Standards, Regulations and AI
2. Quality Characteristics for AI-Based Systems
2.1 Flexibility and Adaptability
2.2 Autonomy
2.3 Evolution
2.4 Bias
2.5 Ethics
2.6 Side Effects and Reward Hacking
2.7 Transparency, Interpretability and Explainability
2.8 Safety and AI
3. Machine Learning (ML) – Overview
3.1 Forms of ML
3.2 ML Workflow
3.3 Selecting a Form of ML
3.4 Factors Involved in ML Algorithm Selection
3.5 Overfitting and Underfitting
4. ML - Data
4.1 Data Preparation as Part of the ML Workflow
4.2 Training, Validation and Test Datasets in the ML Workflow
4.3 Dataset Quality Issues
and other
This course is preparation for CT-AI exam, it will help you go through all the sections of syllabus with sample questions
You can verify your knowledge for every type of content provided to pass exam.
Course is sorted like syllabus sections:
1. Introduction to AI
1.1 Definition of AI and AI Effect
1.2 Narrow, General and Super AI
1.3 AI-Based and Conventional Systems
1.4 AI Technologies
1.5 AI Development Frameworks
1.6 Hardware for AI-Based Systems
1.7 AI as a Service (AIaaS)
1.8 Pre-Trained Models
1.9 Standards, Regulations and AI
2. Quality Characteristics for AI-Based Systems
2.1 Flexibility and Adaptability
2.2 Autonomy
2.3 Evolution
2.4 Bias
2.5 Ethics
2.6 Side Effects and Reward Hacking
2.7 Transparency, Interpretability and Explainability
2.8 Safety and AI
3. Machine Learning (ML) – Overview
3.1 Forms of ML
3.2 ML Workflow
3.3 Selecting a Form of ML
3.4 Factors Involved in ML Algorithm Selection
3.5 Overfitting and Underfitting
4. ML - Data
4.1 Data Preparation as Part of the ML Workflow
4.2 Training, Validation and Test Datasets in the ML Workflow
4.3 Dataset Quality Issues
and other
この講座はAI-900に最短で合格するための講座です。
また、試験に合格するだけではなく、機械学習の本質的な知識も身につけることができるように設計されています。ですので、単なる知識の獲得にとどまることなく、あなたがこれからAIを業務で活用する上での基礎的な能力を身につけることができます。
ChatGPTなどの出現によってますますAIの活用は当たり前になっていく中で、これから活躍できるビジネスパーソンになるためにぜひともこの講座を通じてAIの基礎知識を身につけて下さい。
AI-900試験対策講座ですので、試験対策も行っていますが、その内容はほとんどが機械学習の基本的な知識であり、Azureに特化した内容はあまり多くありません。
ですので、試験合格を目指していない方も安心して受講して頂ければと思います。
この講座はAI-900に最短で合格するための講座です。
また、試験に合格するだけではなく、機械学習の本質的な知識も身につけることができるように設計されています。ですので、単なる知識の獲得にとどまることなく、あなたがこれからAIを業務で活用する上での基礎的な能力を身につけることができます。
ChatGPTなどの出現によってますますAIの活用は当たり前になっていく中で、これから活躍できるビジネスパーソンになるためにぜひともこの講座を通じてAIの基礎知識を身につけて下さい。
AI-900試験対策講座ですので、試験対策も行っていますが、その内容はほとんどが機械学習の基本的な知識であり、Azureに特化した内容はあまり多くありません。
ですので、試験合格を目指していない方も安心して受講して頂ければと思います。
The ISTQB AI Testing course offers a comprehensive preparation with a total of 200 questions across 5 separate practice exams. These practice tests help participants assess their knowledge of AI testing and familiarize themselves with the various types of questions and levels of difficulty they might encounter in the examination. Each practice exam emulates the actual exam format, providing participants with a realistic exam experience and the opportunity to practice time management and question-solving strategies needed for the exam.
The practice exams cover the topics specified in the ISTQB's AI testing certification program, preparing participants for all sections of the exam. The questions range from fundamental AI and ML concepts to more advanced topics such as test planning, risk assessment, test design, test automation, and AI ethics. This component of the course allows participants to identify their weak points and strengthen their knowledge in these areas before the exam.
The course emphasizes not just theoretical knowledge but also practical experience, ensuring that participants feel confident in solving problems and understanding AI testing processes they may encounter in the exam. Additionally, feedback provided at the end of the course guides participants in improving their performance in the exam. These practice exams constitute a solid foundation for the ISTQB AI Testing certification and support participants in successfully completing the exam.
The ISTQB AI Testing course offers a comprehensive preparation with a total of 200 questions across 5 separate practice exams. These practice tests help participants assess their knowledge of AI testing and familiarize themselves with the various types of questions and levels of difficulty they might encounter in the examination. Each practice exam emulates the actual exam format, providing participants with a realistic exam experience and the opportunity to practice time management and question-solving strategies needed for the exam.
The practice exams cover the topics specified in the ISTQB's AI testing certification program, preparing participants for all sections of the exam. The questions range from fundamental AI and ML concepts to more advanced topics such as test planning, risk assessment, test design, test automation, and AI ethics. This component of the course allows participants to identify their weak points and strengthen their knowledge in these areas before the exam.
The course emphasizes not just theoretical knowledge but also practical experience, ensuring that participants feel confident in solving problems and understanding AI testing processes they may encounter in the exam. Additionally, feedback provided at the end of the course guides participants in improving their performance in the exam. These practice exams constitute a solid foundation for the ISTQB AI Testing certification and support participants in successfully completing the exam.