AI Advanced 6-Month Bootcamp
Advance your career with this AI and Machine Learning course and master in-demand skills like ML, deep learning, NLP, computer vision, reinforcement learning, generative AI, prompt engineering, and ChatGPT among others.
- Live Instructor Led Online
- Al Advanced 6 Months Bootcamp with Job Support
Price : 18000 USD $14999
Code with Strategism
Live Instructor – AI Advanced 6-Month Bootcamp
15+ Years
Experienced Trainers
50+
Trainers
1800+
Certified
4.7/5*
Rating
SAVE THE DATES FOR OUR UPCOMING PROGRAM
Mon - Friday 7:00 -10:00 EST & (Wed - Mentor Day) 3x4 = 12 hours
AI Advanced 6-Month Bootcamp
Al will change many fields and redefine the knowledge economy. Al will create a 1.5 trillion contribution to the world economy by 2030. Al
will take away many jobs but at the same time create new opportunities. This course is designed to help you have basic and advanced fundamental understanding of Al using the latest technologies.
Strategism’s AI Bootcamp equips participants with practical skills in machine learning, deep learning, NLP, and generative Al. Through hands-on projects, students will master the essential tools and techniques shaping Al today, culminating in a capstone project to demonstrate their expertise.
Strategism lnc has its headquarters in Fremont CA and operates across San Francisco, Los Angeles, Seattle and in other states of America. We offer best online and in class Training, Certification, Staffing & Consulting services. We are 1 5 years old multi-million-dollar company, started in 2008 in California
Why Become A Certified Artificial Intelligence (AI) Professional
Units Topic Duration
Units – 1 Statistics Essentials for Data Science 3 Weeks
Units – 2 Programming Basics 3 Weeks
Units – 3 Applied Data Science with Python 3 Weeks
Units – 4 Machine Learning 3 Weeks
Units – 5 Deep Learning 3 Weeks
Units – 6 Generative Al 3 Weeks
Units – 7 Capstone 3 Weeks
1. Statistics Essentials for Data Science
The “Statistics Essentials for Data Science” course is designed to equip aspiring data professionals with a solid foundation in statistical concepts crucial for data-driven decision-making. This course focuses on building a comprehensive understanding of statistical methods, ranging from descriptive statistics to inferential techniques, tailored specifically for the needs of data science.
2. Programming Basics
In this section, learners will be introduced to Python, one of the most
versatile and widely used programming languages in data science. This
module begins with the fundamentals of Python, gradually advancing
to core programming concepts such as conditional statements, loops,
functions, and object-oriented programming (OOP). Additionally,
learners will explore threading for efficient code execution in complex
data environments.
3. Applied Data Science with Python
The “Applied Data Science with Python” module provides a deep dive into the essential libraries and techniques used for data analysis and manipulation. This section covers NumPy for numerical computing, linear algebra concepts, and working with Pandas to manage and analyze datasets efficiently. Learners will also build on their statistical knowledge with advanced topics and explore key aspects of data wrangling, cleaning, and visualization.
4. Machine Learning
The “Machine Learning” module is designed to introduce learners to the
fundamental concepts and techniques that power intelligentsystems and
applications. Beginning with an overview of machine learning,
participants will explore supervised learning methods, including
regression and classification, to predict outcomes and categorize data
effectively.
5. Deep Learning
The “Deep Learning” module delves into the advanced techniques that have revolutionized the field of artificial intelligence. This comprehensive section begins with an introduction to deep learning concepts, followed by a detailed exploration of artificial neural networks and deep neural networks, laying the groundwork for
understanding complex models.
6. Generative AI
The “Generative Al” module offers an in-depth exploration of cutting-
edge technologies that enable machines to generate content, from text
and images to music and more. This section will cover fundamental
principles of generative Al, examining various models and techniques
that have emerged in recent years.
7. Capstone Project
The final module culminates in a capstone project, where participants
apply the skills acquired throughout the bootcamp to a real-world data science challenge. They will work on end-to-end data processing, model building, and presentation of results, preparing them for real-world data science roles.
Topic 1: Get a Job in AI- Machine Learning- Start as an Analyst.
- Congrats- on visiting this page- Hanging on to this page will change your life forever.
Topic 2: Why are we doing this? Vision & Purpose of the Program:
- Educating America. Reducing outsourcing. Upskilling America. Creating a better quality of life for Americans.
Topic 3: What will be taught?
- AI and Machine Learning.
Topic 4: Who can benefit? Target Audience
- Strategism offers online bootcamps for folks who want to migrate from a traditional job in retail banking,etc to a high paying job in Software-IT- Technology that will at least double their salaries, if not tripled. It will change their lives forever. Zero IT software, Coding background. High school dropouts are also fine.
Topic 5: Will it be at the facility?
- It will be only Online Bootcamp so you can attend from home after work
Topic 6: How long will it take?
- Duration- 5 months, Weekly Classes after work- 4 days classes- 1 day mentorship- course, resume, mocks, exam,etc .
Topic 7: Class Timings?
- 7-10 PM EST Monday- Friday. Thursday- Mentorship class.
Topic 8: Who Will Teach?
- Highly experienced technical professionals working in the industry for many years.
Topic 9: What will all be covered?
- Basic Statistics, programming essentials, Data Science - python concepts. Machine learning, neural networks and deep learning, Generative AI, ChatGPT4, Prompt Engineering. Python, Keras, Tensor Flow.
Topic 10: How will it be taught?
- It will be taught in a very unique way using Stragism Smarterlearner patented technology and its platform.highly immersive, interactive, engaging, peer to peer, visual, learning by doing method.
Topic 11: How much will it Cost
- $14999, finance options available, as low as $250 per month. Different plans. $99 refundable fee, within a week, due on enrollment. Scholarship available to selected few $2000. Government benefit may apply depending on where you live.
Topic 12: Will i be certified in AI?
- Yes, we will help you get certified as Microsoft AI 900, depending on your hard work. We do not guarantee any certification.
Topic 13: What support will I get?
- Mentorship throughout the course, resume, mocks, project work, real life work, marketing techniques, placement assistance, salary negotiations, professional network.
Topic 14: Do you market yourself or will the company help?
- We will help market you. You can also market yourself. We do not guarantee any jobs.
Topic 15: Will I get help once I get employed with a FORTUNE 100 company?
- Support will be provided till six months after graduation. We do not encourage hand holding. The earlier you get on your feet, the more confident you will be.
Topic 15: Will I get help once I get employed with a FORTUNE 100 company?
- Support will be provided till six months after graduation. We do not encourage hand holding. The earlier you get on your feet, the more confident you will be.
Topic 16: Where can I get a job after graduation?
- You can work for top American FORTUNE 100 companies such as Amazon, Google, Spotify, Bloomberg, Apple, Facebook, banks, financial institutions, healthcare, etc.
Topic 17: What salaries can I expect after the course?
- Analyst roles start from $ 70,000 USD as Business Analyst, Data Analyst, Data Analytics. Engineer Roles make $120,000 to $150,000. If you focus on your job you can reach that salary in 3 years time.
Topic 18: How to Contact Us
- Email- contact@strategisminc.com, sam@strategisminc.com, Call +1 408--335-0860
Course Syllabus – AI Advanced 6-Month Bootcamp
In the AI space- Microsoft, Amazon, and Google are at the forefront. Microsoft invested $1 billion in OpenAI that owns ChatGPT.
This course can help you get AI 900 certification from Microsoft on Azure Cloud.
Module 1
Statistics Esssentials for Data Science
Module 2
Programming Basics
Module 3
Applied Data Science with Python
Module 4
Machine Learning
Module 5
Deep Learning
Module 6
Generative Al
Statistics Essentials for Data Science
Chapter 1: Orientation
Chapter 2: Introduction to Statistics
Chapter 3: Descriptive Statistics and Data Visualization
Chapter 4: Probability and Probability Distributions
Chapter 5: Sampling and Sampling Techniques
Chapter 6: Inferential Statistics and Its Applications
Chapter 7: Relationship Between Variables
Chapter 8: Unit 1 Career Simulation and Career Preparation
Programming Basics
Chapter 9: Introduction ot Python Programming
Chapter 10: Conditional Statements, Loops, and Python Functions
Chapter 1 1 : OOPs and Threading in Python Unit 2 Review Dag
Chapter 1 2: Unit 2 Career Simulation and Career Preparation
Chapter 13: Python for Data Science
Applied Data Science with Python
Chapter 14: NumPy
Chapter 15: Linear Algebra
Chapter 16: Working With Pandas
Chapter 17: Statistics Fundamentals
Chapter 18: Advanced Statistics
Chapter 19: Data Analysis
Chapter 20: Data Wrangling
Chapter 21: Data Visualization
Chapter 22: Unit 3 Career Simulation and Career Preparation
Machine Learning
Chapter 23: Introduction to Machine Learning
Chapter 24: Supervised Learning
Chapter 25: Regression and Its Applications
Chapter 26: Classification and Its Applications: Part 1
Chapter 27: Classification and Its Applications: Part 2
Chapter 28: Unsupervised Learning: Part 1
Chapter 29: Unsupervised Learning: Part 2
Chapter 30: Time Series Modeling
Chapter 31: Ensemble Learning
Chapter 32: Recommender System
Chapter 33: Unit 4 Career Simulation and Career Preparation
Deep Learning
Chapter 34: Introduction to Deep Learning
Chapter 35: Artificial Neural Network
Chapter 36: Deep Neural Networks
Chapter 37: TensorFlow
Chapter 38: Model Optimization: Part 1
Chapter 39: Model Optimization: Part 2
Chapter 40: Performance Improvement
Chapter 41: Convolutional Neural Networks
Chapter 42: Transfer Learning
Chapter 43: Object Detection
Chapter 44: Recurrent Neural Network
Chapter 45: Transformer Model Chapter
Chapter 46: Autoencoders
Chapter 47: PyTorch
Chapter 48: Unit 5 Career Simulation and Career Preparation
Generative Al
Chapter 49: Gen Al 1
Chapter 50: Gen Al 2
Chapter 51: Gen Al 3
Chapter 52: Gen AI 4
Chapter 53: Unit 6 Career Simulation and Career Preparation
Key Course Takeaways
- Assess how you can apply AI in your organization.
- Apply knowledge-based AI technologies to standard tasks or your own organization’s systems and processes.
- Address challenges by applying machine learning.
- Design strategies to implement AI systems across an organization.
- Examine the societal implications of AI in areas such as labor, privacy, ethics, morality, and regulation.
- Envision the development of strategies to preserve human dignity and agency while embracing the benefits of the technology.
What You'll Earn
Strategism’s Al Bootcamp equips participants with practical skills in machine
learning, deep learning, NLP, and generative Al. Through hands-on projects, students will master the essential tools and techniques shaping Al today, culminating in a capstone project to demonstrate their expertise.
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
1. Who can learn this Strategism AI Course - any one can learn AI?
2. What is covered?
3. Could you tell me how many hours is the program?
4. Weekend or Weekday and how many hours per day?
5. What will be the full name of this program and certification?
6. The participants do not need any technical or coding knowledge?
Partnering with World's Leading Universities and Companies
