Advanced AI Certification
This comprehensive program provides in-depth knowledge and hands-on experience, enabling participants to tackle complex AI challenges and drive innovation in the field.
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Price : 20000 USD $16000
Live Instructor – Led Online Advanced AI Certification Schedule
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Introduction to Artificial Intelligence Course
This Advanced AI Course is designed for those seeking to gain deep expertise in machine learning, neural networks, natural language processing (NLP), computer vision, and more. This comprehensive program provides in-depth knowledge and hands-on experience, enabling participants to tackle complex AI challenges and drive innovation in the field.
Who Should Enroll?
This course is ideal for:
- – Experienced data scientists, machine learning engineers, and AI professionals looking to deepen their expertise.
- – Software engineers, data analysts, and IT professionals interested in advanced AI applications.
- – Graduate students and researchers aiming to expand their knowledge of state-of-the-art AI techniques.
- – Business leaders and product managers focused on AI-driven strategies and innovation.
Topic 1: What is AI and benefits of AI?
- Business case for AI.
- Difference between AI and ML.
- How AI is transforming the world.
- ChatGPT and OpenAI- Microsoft.
- How future will look like with AI.
Topic 2: Major players in AI?
- Who are the major players in AI space?
- What are the most popular technologies coming up?
- How investments are moving into AI space- VC funding etc?
- Where major jobs can be found and how?
- Certifications and knowledge creation- industry and academia - MIT, Cornell, Microsoft,etc.,
Topic 3: Introduction to AI Fundamentals- Microsoft Azure
- Microsoft's cloud-based solutions for AI and Machine Learning.
- The organization of an AI and ML Team and various stakeholders that take part in AI and ML initiatives.
- A brief history of AI.
- The prerequisites for the rest of the course.
- When to use AI and ML, and when not?
Topic 4: AI and ML Core Concepts- Azure AI - Machine Learning Studio
- The relationship between AI and ML.
- The five workloads for AI and ML and have an understanding of the common use cases.
- Responsible AI and the application of ethics to the topic of AI.
- Responsible ML and the ethical responsibilities of researchers, data scientists, and employees at organizations performing machine learning tasks.
Topic 5: Machine Learning- Microsoft Azure
- Key Machine Learning Concepts to craft a foundation for following lessons.
- Different approaches to ML, such as Supervised, Unsupervised, Semi-Supervised and Reinforcement Learning.
- Core tasks in building AI and ML solutions including Automated ML and Azure ML.
- An overview of Azure ML around Azure ML Designer and ML Pipelines.
- By the end of this lesson, you will have created three separate machine learning models using Azure Machine Learning and deployed two of them to production.
Topic 6: Computer Vision- Azure
- Object Detection and Classification with Azure Computer Vision.
- Image Classification with Azure Custom Vision.
- Facial Recognition with Azure Face service.
- Read text (OCR) with Azure Computer Vision.
- Extracting information from forms with Azure Form Recognizer.
Topic 7: Natural Language Processing- Microsoft Azure Cognitive
- Key Phrase and Entity extraction with Text Analytics to get insights about documents.
- Intent extraction through Language Understanding to figure out a sentence's goal is.
- Speech recognition and synthesis of speech from text.
- Text and Speech Translation.
Topic 8: Conversational AI- Microsoft AI Azure QnA-Bot
- What Conversational AI is and how it works.
- Working to create a knowledge base with Azure QnA Maker.
- Actions to Deploy an automated bot to Azure Bot Service.
- Learning to Use the Azure Bot Service channels.
Topic 9: Getting ready for your AI Certification from Microsoft Azure AI- 900
- How tough is the exam.
- How many questions.
- Pricing and time taken.
- Exam content and some practice questions.
- Getting ready exam tips and tricks, register for exam 99$.
- Other certifications that you can pursue from Google, Amazon, MIT, Cornell, etc.
- At the end of this topic you will be able to answer what will it take for you to get certified in Microsoft AI 900 exam and pass it with fling colors. It will also give you an idea on other certifications in the space.
Topic 10: Job opportunities in AI- ML
- Data Analyst, Data Engineer, Data Scientist- can start from Data Analyst.
- Project Manager and AI- ML, CPMAI.
- Product Manager in AI- ML.
- Resume, mocks, and placement assistance.
Road Map To Artificial Intelligence Certification
Key Course Takeaways
- 200+ Hours of Instructor-Led and Self-Paced Content: Deep dives into core AI topics and emerging trends.
- Practical Applications: Real-world projects covering AI applications in finance, healthcare, e-commerce, and more.
- Hands-On Labs: Utilize cloud-based labs to gain hands-on experience with popular AI frameworks.
- Portfolio Development: Build a professional portfolio with 10+ capstone projects.
- Certification Exam Preparation: Mock tests, quizzes, and case studies to prepare for industry-standard AI certifications.
Course Syllabus – Advanced AI Course
In the AI space- Microsoft, Amazon, and Google are at the forefront. Microsoft invested $1 billion in OpenAI that owns ChaptGPT.
This course can help you get AI 900 certification from Microsoft on Azure Cloud.
Module 1
Advanced Machine Learning
Module 2
Deep Learning Foundations
Module 3
Natural Language Processing (NLP)
Module 4
Computer Vision
Module 5
Reinforcement Learning
Module 6
Generative Models
Module 7
Model Deployment and Optimization
Module 8
Ethics and Privacy in AI
Learning Objectives
- Advanced Machine Learning Algorithms: Gain a deeper understanding of advanced algorithms, including support vector machines (SVM), ensemble methods, and gradient boosting.
- Deep Learning Architectures: Master complex neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
- Natural Language Processing: Explore advanced NLP techniques, including named entity recognition (NER), machine translation, and sentiment analysis.
- Reinforcement Learning: Study the fundamentals of reinforcement learning and implement algorithms for game and process optimization.
- Generative Models: Understand and build generative adversarial networks (GANs) and autoencoders for synthetic data generation.
- Model Deployment and Optimization: Deploy AI models on cloud platforms and learn about model optimization techniques.
- Ethics in AI: Discuss the ethical implications of AI technologies, including privacy concerns, bias, and transparency.
Our Job Support Program
Our goal is to ensure that your resume reaches the right hiring managers. Here’s how we help market your profile effectively:
Customization for Each Industry & Role: We work with you to tailor your resume to fit specific industries and roles, making sure it resonates with the hiring managers you're targeting. By aligning your experience and skills with what employers are actively seeking, we can improve your chances of getting noticed.
Direct Client Relationships: We market your resume to our direct clients, which include well-known organizations such as Walmart, Delta Dental, Wells Fargo, Jefferies, Dell, DaVita, Verizon, and more. Thanks to our extensive partnerships across industries, we can ensure that your profile gets in front of decision-makers at top companies.
Multi-Platform Marketing: We promote your profile across LinkedIn, Monster, Indeed, Dice, Glassdoor, and other job portals to increase your exposure to recruiters. Our marketing team manages your profile on these platforms, ensuring it is optimized and regularly updated.
Profile Optimization for U.S. Employers: We ensure your resume highlights the qualifications, skills, and certifications that U.S. employers are actively searching for. We’ll also assist with updating and optimizing your LinkedIn profile, helping you establish a strong and professional presence online.
Targeted Resume Submissions: We submit your resume to employers that match your career goals. Whether you’re targeting industries such as IT, finance, or healthcare, or roles like project managers, developers, or security analysts, we make sure your experience is highlighted in a way that resonates with hiring trends.
Regular Updates & Feedback: You’ll always be kept in the loop with regular updates on where your resume is being shared, feedback from recruiters, and opportunities we’ve found. We’ll manage all communication, including employer follow-ups and interview scheduling, so you can focus on preparing for your next steps.
How We Market Your Profile
Direct Client Submissions:
We directly submit your resume to the clients we work with, which include major companies like Walmart, Verizon, Dell, TCS, Cap Gemini, and many others.
LinkedIn Optimization:
LinkedIn is a primary tool for many recruiters, so we make sure your profile is fully optimized to stand out.
Job Boards & Industry-Specific Platforms:
We create and manage profiles for you on popular job boards such as Monster, Indeed, Dice, and Glassdoor, ensuring your resume gets seen by the right recruiters.
Targeted Outreach
Our team proactively reaches out to recruiters and employers in your field through email campaigns and targeted submissions.
Profile Customization:
We’ll create industry-specific versions of your resume and profile that focus on your most relevant experience and skills for each job market.
Trend Monitoring:
We keep an eye on industry trends, including remote work, diversity initiatives, and other hiring demands, to keep your profile relevant and competitive.
Flexible Staffing Options:
Whether you’re looking for direct hire, contract-to-hire, or temporary staffing, we market your profile according to employer demand, broadening your job opportunities.
What Our Customer Say About Us
Victor Ifediora
Caterina Vazquez
Shannon Wilson
Elizabeth Bolanos
Frequently Asked Questions
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